Does Multi-Clause Learning Help in Real-World Applications? View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2012

AUTHORS

Dianhuan Lin , Jianzhong Chen , Hiroaki Watanabe , Stephen H. Muggleton , Pooja Jain , Michael J. E. Sternberg , Charles Baxter , Richard A. Currie , Stuart J. Dunbar , Mark Earll , José Domingo Salazar

ABSTRACT

The ILP system Progol is incomplete in not being able to generalise a single example to multiple clauses. This limitation is referred as single-clause learning (SCL) in this paper. However, according to the Blumer bound, incomplete learners such as Progol can have higher predictive accuracy while use less search than more complete learners. This issue is particularly relevant in real-world problems, in which it is unclear whether the unknown target theory or its approximation is within the hypothesis space of the incomplete learner. This paper uses two real-world applications in systems biology to study whether it is necessary to have complete multi-clause learning (MCL) methods, which is computationally expensive but capable of deriving multi-clause hypotheses that is in the systems level. The experimental results show that in both applications there do exist datasets, in which MCL has significantly higher predictive accuracies than SCL. On the other hand, MCL does not outperform SCL all the time due to the existence of the target hypothesis or its approximations within the hypothesis space of SCL. More... »

PAGES

221-237

References to SciGraph publications

Book

TITLE

Inductive Logic Programming

ISBN

978-3-642-31950-1
978-3-642-31951-8

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-31951-8_21

DOI

http://dx.doi.org/10.1007/978-3-642-31951-8_21

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1035319635


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Applied Mathematics", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Mathematical Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Imperial College London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lin", 
        "givenName": "Dianhuan", 
        "id": "sg:person.012134474467.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012134474467.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Imperial College London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chen", 
        "givenName": "Jianzhong", 
        "id": "sg:person.013012363165.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013012363165.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Imperial College London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Watanabe", 
        "givenName": "Hiroaki", 
        "id": "sg:person.014357062105.80", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014357062105.80"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Imperial College London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Muggleton", 
        "givenName": "Stephen H.", 
        "id": "sg:person.01125137176.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125137176.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Imperial College London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jain", 
        "givenName": "Pooja", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imperial College London", 
          "id": "https://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Imperial College London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sternberg", 
        "givenName": "Michael J. E.", 
        "id": "sg:person.0611736450.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611736450.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syngenta (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.426114.4", 
          "name": [
            "Syngenta Ltd., UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baxter", 
        "givenName": "Charles", 
        "id": "sg:person.01216105465.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216105465.77"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syngenta (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.426114.4", 
          "name": [
            "Syngenta Ltd., UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Currie", 
        "givenName": "Richard A.", 
        "id": "sg:person.01306377353.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306377353.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syngenta (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.426114.4", 
          "name": [
            "Syngenta Ltd., UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dunbar", 
        "givenName": "Stuart J.", 
        "id": "sg:person.0646224336.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646224336.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syngenta (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.426114.4", 
          "name": [
            "Syngenta Ltd., UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Earll", 
        "givenName": "Mark", 
        "id": "sg:person.01304241417.54", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304241417.54"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Syngenta (United Kingdom)", 
          "id": "https://www.grid.ac/institutes/grid.426114.4", 
          "name": [
            "Syngenta Ltd., UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Salazar", 
        "givenName": "Jos\u00e9 Domingo", 
        "id": "sg:person.0646224370.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646224370.24"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1093/nar/27.1.29", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001521131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03037227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005084660", 
          "https://doi.org/10.1007/bf03037227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf03037227", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005084660", 
          "https://doi.org/10.1007/bf03037227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-21295-6_19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009069868", 
          "https://doi.org/10.1007/978-3-642-21295-6_19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-21295-6_19", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009069868", 
          "https://doi.org/10.1007/978-3-642-21295-6_19"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1105/tpc.109.072231", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022965315"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10994-006-8988-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023237305", 
          "https://doi.org/10.1007/s10994-006-8988-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-31951-8_28", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028541499", 
          "https://doi.org/10.1007/978-3-642-31951-8_28"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-0190(87)90114-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031474319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0020-0190(87)90114-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031474319"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3540635149_58", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032680309", 
          "https://doi.org/10.1007/3540635149_58"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1023/b:mach.0000023149.72125.e2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033518810", 
          "https://doi.org/10.1023/b:mach.0000023149.72125.e2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.pbi.2004.03.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036425437"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/1968.1972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038881641"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-11-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039819082", 
          "https://doi.org/10.1186/1471-2164-11-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/3-540-44960-4_8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042912075", 
          "https://doi.org/10.1007/3-540-44960-4_8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jal.2008.10.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048105971"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012", 
    "datePublishedReg": "2012-01-01", 
    "description": "The ILP system Progol is incomplete in not being able to generalise a single example to multiple clauses. This limitation is referred as single-clause learning (SCL) in this paper. However, according to the Blumer bound, incomplete learners such as Progol can have higher predictive accuracy while use less search than more complete learners. This issue is particularly relevant in real-world problems, in which it is unclear whether the unknown target theory or its approximation is within the hypothesis space of the incomplete learner. This paper uses two real-world applications in systems biology to study whether it is necessary to have complete multi-clause learning (MCL) methods, which is computationally expensive but capable of deriving multi-clause hypotheses that is in the systems level. The experimental results show that in both applications there do exist datasets, in which MCL has significantly higher predictive accuracies than SCL. On the other hand, MCL does not outperform SCL all the time due to the existence of the target hypothesis or its approximations within the hypothesis space of SCL.", 
    "editor": [
      {
        "familyName": "Muggleton", 
        "givenName": "Stephen H.", 
        "type": "Person"
      }, 
      {
        "familyName": "Tamaddoni-Nezhad", 
        "givenName": "Alireza", 
        "type": "Person"
      }, 
      {
        "familyName": "Lisi", 
        "givenName": "Francesca A.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-3-642-31951-8_21", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": {
      "isbn": [
        "978-3-642-31950-1", 
        "978-3-642-31951-8"
      ], 
      "name": "Inductive Logic Programming", 
      "type": "Book"
    }, 
    "name": "Does Multi-Clause Learning Help in Real-World Applications?", 
    "pagination": "221-237", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-3-642-31951-8_21"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a83f20a13713362b258affb2c3e2d037f1bd40a5442f1cced8e7bb7916253fdc"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1035319635"
        ]
      }
    ], 
    "publisher": {
      "location": "Berlin, Heidelberg", 
      "name": "Springer Berlin Heidelberg", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-3-642-31951-8_21", 
      "https://app.dimensions.ai/details/publication/pub.1035319635"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-15T22:56", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8695_00000265.jsonl", 
    "type": "Chapter", 
    "url": "http://link.springer.com/10.1007/978-3-642-31951-8_21"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-31951-8_21'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-31951-8_21'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-31951-8_21'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-31951-8_21'


 

This table displays all metadata directly associated to this object as RDF triples.

197 TRIPLES      23 PREDICATES      41 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-3-642-31951-8_21 schema:about anzsrc-for:01
2 anzsrc-for:0102
3 schema:author N80c05810a7ea4418a9a687e46962f90a
4 schema:citation sg:pub.10.1007/3-540-44960-4_8
5 sg:pub.10.1007/3540635149_58
6 sg:pub.10.1007/978-3-642-21295-6_19
7 sg:pub.10.1007/978-3-642-31951-8_28
8 sg:pub.10.1007/bf03037227
9 sg:pub.10.1007/s10994-006-8988-x
10 sg:pub.10.1023/b:mach.0000023149.72125.e2
11 sg:pub.10.1186/1471-2164-11-9
12 https://doi.org/10.1016/0020-0190(87)90114-1
13 https://doi.org/10.1016/j.jal.2008.10.007
14 https://doi.org/10.1016/j.pbi.2004.03.007
15 https://doi.org/10.1093/nar/27.1.29
16 https://doi.org/10.1105/tpc.109.072231
17 https://doi.org/10.1145/1968.1972
18 schema:datePublished 2012
19 schema:datePublishedReg 2012-01-01
20 schema:description The ILP system Progol is incomplete in not being able to generalise a single example to multiple clauses. This limitation is referred as single-clause learning (SCL) in this paper. However, according to the Blumer bound, incomplete learners such as Progol can have higher predictive accuracy while use less search than more complete learners. This issue is particularly relevant in real-world problems, in which it is unclear whether the unknown target theory or its approximation is within the hypothesis space of the incomplete learner. This paper uses two real-world applications in systems biology to study whether it is necessary to have complete multi-clause learning (MCL) methods, which is computationally expensive but capable of deriving multi-clause hypotheses that is in the systems level. The experimental results show that in both applications there do exist datasets, in which MCL has significantly higher predictive accuracies than SCL. On the other hand, MCL does not outperform SCL all the time due to the existence of the target hypothesis or its approximations within the hypothesis space of SCL.
21 schema:editor N3f00e1ec89434425b3f7a7fbf349c521
22 schema:genre chapter
23 schema:inLanguage en
24 schema:isAccessibleForFree true
25 schema:isPartOf Nf5ce228430f74dcea49217aebd9df3ac
26 schema:name Does Multi-Clause Learning Help in Real-World Applications?
27 schema:pagination 221-237
28 schema:productId N2066eb5901cd4d05b1db1206f0e613c1
29 N33f7819da223479ab4b77ed51c47628b
30 N69cc539d4a7a42a3a2097c3b8eab0984
31 schema:publisher N35d93f8090f64828a2fab230cc476b6b
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035319635
33 https://doi.org/10.1007/978-3-642-31951-8_21
34 schema:sdDatePublished 2019-04-15T22:56
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N5c3be94bab2b4cffb3b37e7d8201504c
37 schema:url http://link.springer.com/10.1007/978-3-642-31951-8_21
38 sgo:license sg:explorer/license/
39 sgo:sdDataset chapters
40 rdf:type schema:Chapter
41 N1e698f0f4d734b7db264ee8bc3ced180 rdf:first sg:person.01216105465.77
42 rdf:rest N8b10880b49644bea84cd09b7369a2fef
43 N2066eb5901cd4d05b1db1206f0e613c1 schema:name readcube_id
44 schema:value a83f20a13713362b258affb2c3e2d037f1bd40a5442f1cced8e7bb7916253fdc
45 rdf:type schema:PropertyValue
46 N33f7819da223479ab4b77ed51c47628b schema:name dimensions_id
47 schema:value pub.1035319635
48 rdf:type schema:PropertyValue
49 N35d93f8090f64828a2fab230cc476b6b schema:location Berlin, Heidelberg
50 schema:name Springer Berlin Heidelberg
51 rdf:type schema:Organisation
52 N3f00e1ec89434425b3f7a7fbf349c521 rdf:first N6908cd6c90c94a2390b2f9d39c6dd956
53 rdf:rest N7f3f4ccb40c94c79b24e27a272389681
54 N46778944843c447294cbdcc7636533b8 rdf:first N73f73b7b30d246b2a972a49e7a45a528
55 rdf:rest Nfc55877b4c1e48a9bcc3b8f8b399093c
56 N5c3be94bab2b4cffb3b37e7d8201504c schema:name Springer Nature - SN SciGraph project
57 rdf:type schema:Organization
58 N6908cd6c90c94a2390b2f9d39c6dd956 schema:familyName Muggleton
59 schema:givenName Stephen H.
60 rdf:type schema:Person
61 N69cc539d4a7a42a3a2097c3b8eab0984 schema:name doi
62 schema:value 10.1007/978-3-642-31951-8_21
63 rdf:type schema:PropertyValue
64 N73f73b7b30d246b2a972a49e7a45a528 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
65 schema:familyName Jain
66 schema:givenName Pooja
67 rdf:type schema:Person
68 N7eccb6b81c354a80a6d607fea86fcb52 rdf:first sg:person.0646224336.56
69 rdf:rest Nc93980432c064fed9c4c34c03f5e0982
70 N7f3f4ccb40c94c79b24e27a272389681 rdf:first Ne5ac8cee0dd647faab81cd08d6e8707a
71 rdf:rest Nae622329428544efba3262f8edc0d021
72 N80c05810a7ea4418a9a687e46962f90a rdf:first sg:person.012134474467.55
73 rdf:rest Nfaaf42c7ab7c4c14a43187556d4ed725
74 N8b10880b49644bea84cd09b7369a2fef rdf:first sg:person.01306377353.24
75 rdf:rest N7eccb6b81c354a80a6d607fea86fcb52
76 N949ff6313d524d728d803fb4297f0e27 rdf:first sg:person.0646224370.24
77 rdf:rest rdf:nil
78 Nae622329428544efba3262f8edc0d021 rdf:first Nfdf9ea7fc2e542f8b498554d25cbffc6
79 rdf:rest rdf:nil
80 Nc4ee86b49f1241acaf24253d95c8bee3 rdf:first sg:person.014357062105.80
81 rdf:rest Ncb4f82a800f9459e8d7836d10155998f
82 Nc93980432c064fed9c4c34c03f5e0982 rdf:first sg:person.01304241417.54
83 rdf:rest N949ff6313d524d728d803fb4297f0e27
84 Ncb4f82a800f9459e8d7836d10155998f rdf:first sg:person.01125137176.85
85 rdf:rest N46778944843c447294cbdcc7636533b8
86 Ne5ac8cee0dd647faab81cd08d6e8707a schema:familyName Tamaddoni-Nezhad
87 schema:givenName Alireza
88 rdf:type schema:Person
89 Nf5ce228430f74dcea49217aebd9df3ac schema:isbn 978-3-642-31950-1
90 978-3-642-31951-8
91 schema:name Inductive Logic Programming
92 rdf:type schema:Book
93 Nfaaf42c7ab7c4c14a43187556d4ed725 rdf:first sg:person.013012363165.39
94 rdf:rest Nc4ee86b49f1241acaf24253d95c8bee3
95 Nfc55877b4c1e48a9bcc3b8f8b399093c rdf:first sg:person.0611736450.97
96 rdf:rest N1e698f0f4d734b7db264ee8bc3ced180
97 Nfdf9ea7fc2e542f8b498554d25cbffc6 schema:familyName Lisi
98 schema:givenName Francesca A.
99 rdf:type schema:Person
100 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
101 schema:name Mathematical Sciences
102 rdf:type schema:DefinedTerm
103 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
104 schema:name Applied Mathematics
105 rdf:type schema:DefinedTerm
106 sg:person.01125137176.85 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
107 schema:familyName Muggleton
108 schema:givenName Stephen H.
109 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01125137176.85
110 rdf:type schema:Person
111 sg:person.012134474467.55 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
112 schema:familyName Lin
113 schema:givenName Dianhuan
114 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012134474467.55
115 rdf:type schema:Person
116 sg:person.01216105465.77 schema:affiliation https://www.grid.ac/institutes/grid.426114.4
117 schema:familyName Baxter
118 schema:givenName Charles
119 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216105465.77
120 rdf:type schema:Person
121 sg:person.013012363165.39 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
122 schema:familyName Chen
123 schema:givenName Jianzhong
124 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013012363165.39
125 rdf:type schema:Person
126 sg:person.01304241417.54 schema:affiliation https://www.grid.ac/institutes/grid.426114.4
127 schema:familyName Earll
128 schema:givenName Mark
129 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01304241417.54
130 rdf:type schema:Person
131 sg:person.01306377353.24 schema:affiliation https://www.grid.ac/institutes/grid.426114.4
132 schema:familyName Currie
133 schema:givenName Richard A.
134 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306377353.24
135 rdf:type schema:Person
136 sg:person.014357062105.80 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
137 schema:familyName Watanabe
138 schema:givenName Hiroaki
139 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014357062105.80
140 rdf:type schema:Person
141 sg:person.0611736450.97 schema:affiliation https://www.grid.ac/institutes/grid.7445.2
142 schema:familyName Sternberg
143 schema:givenName Michael J. E.
144 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611736450.97
145 rdf:type schema:Person
146 sg:person.0646224336.56 schema:affiliation https://www.grid.ac/institutes/grid.426114.4
147 schema:familyName Dunbar
148 schema:givenName Stuart J.
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646224336.56
150 rdf:type schema:Person
151 sg:person.0646224370.24 schema:affiliation https://www.grid.ac/institutes/grid.426114.4
152 schema:familyName Salazar
153 schema:givenName José Domingo
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646224370.24
155 rdf:type schema:Person
156 sg:pub.10.1007/3-540-44960-4_8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042912075
157 https://doi.org/10.1007/3-540-44960-4_8
158 rdf:type schema:CreativeWork
159 sg:pub.10.1007/3540635149_58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032680309
160 https://doi.org/10.1007/3540635149_58
161 rdf:type schema:CreativeWork
162 sg:pub.10.1007/978-3-642-21295-6_19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009069868
163 https://doi.org/10.1007/978-3-642-21295-6_19
164 rdf:type schema:CreativeWork
165 sg:pub.10.1007/978-3-642-31951-8_28 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028541499
166 https://doi.org/10.1007/978-3-642-31951-8_28
167 rdf:type schema:CreativeWork
168 sg:pub.10.1007/bf03037227 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005084660
169 https://doi.org/10.1007/bf03037227
170 rdf:type schema:CreativeWork
171 sg:pub.10.1007/s10994-006-8988-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1023237305
172 https://doi.org/10.1007/s10994-006-8988-x
173 rdf:type schema:CreativeWork
174 sg:pub.10.1023/b:mach.0000023149.72125.e2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033518810
175 https://doi.org/10.1023/b:mach.0000023149.72125.e2
176 rdf:type schema:CreativeWork
177 sg:pub.10.1186/1471-2164-11-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039819082
178 https://doi.org/10.1186/1471-2164-11-9
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/0020-0190(87)90114-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031474319
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.jal.2008.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048105971
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.pbi.2004.03.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036425437
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1093/nar/27.1.29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001521131
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1105/tpc.109.072231 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022965315
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1145/1968.1972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038881641
191 rdf:type schema:CreativeWork
192 https://www.grid.ac/institutes/grid.426114.4 schema:alternateName Syngenta (United Kingdom)
193 schema:name Syngenta Ltd., UK
194 rdf:type schema:Organization
195 https://www.grid.ac/institutes/grid.7445.2 schema:alternateName Imperial College London
196 schema:name Imperial College London, UK
197 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...