Jason Weston

Ontology type: schema:Person     

Person Info





Publications in SciGraph latest 50 shown

  • 2014-02 A semantic matching energy function for learning with multi-relational data in MACHINE LEARNING
  • 2014-02 Learning semantic representations of objects and their parts in MACHINE LEARNING
  • 2014-02 Introduction to the special issue on learning semantics in MACHINE LEARNING
  • 2014 Open Question Answering with Weakly Supervised Embedding Models in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2014 Deep Learning for Character-Based Information Extraction in ADVANCES IN INFORMATION RETRIEVAL
  • 2013 Statistical Learning Theory in Practice in EMPIRICAL INFERENCE
  • 2012 Joint Image and Word Sense Discrimination for Image Retrieval in COMPUTER VISION – ECCV 2012
  • 2012 Deep Learning via Semi-supervised Embedding in NEURAL NETWORKS: TRICKS OF THE TRADE
  • 2010-10 Large scale image annotation: learning to rank with joint word-image embeddings in MACHINE LEARNING
  • 2010-06 Learning to rank with (a lot of) word features in INFORMATION RETRIEVAL JOURNAL
  • 2010 Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2009-10-30 A User’s Guide to Support Vector Machines in DATA MINING TECHNIQUES FOR THE LIFE SCIENCES
  • 2009 Supervised Semantic Indexing in ADVANCES IN INFORMATION RETRIEVAL
  • 2008-12 Combining classifiers for improved classification of proteins from sequence or structure in BMC BIOINFORMATICS
  • 2008 Large-Scale Clustering through Functional Embedding in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2007-11 Semi-supervised learning for peptide identification from shotgun proteomics datasets in NATURE METHODS
  • 2007-05 SVM-Fold: a tool for discriminative multi-class protein fold and superfamily recognition in BMC BIOINFORMATICS
  • 2006-03 Protein Ranking by Semi-Supervised Network Propagation in BMC BIOINFORMATICS
  • 2006 Embedded Methods in FEATURE EXTRACTION
  • 2003-06 Dealing with large diagonals in kernel matrices in ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS
  • 2002-09-20 A Kernel Approach for Learning from almost Orthogonal Patterns in MACHINE LEARNING: ECML 2002
  • 2002-09-18 A Kernel Approach for Learning from Almost Orthogonal Patterns in PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
  • 2002-01 Gene Selection for Cancer Classification using Support Vector Machines in MACHINE LEARNING
  • 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", 
        "affiliation": [
            "affiliation": {
              "id": "https://www.grid.ac/institutes/grid.420451.6", 
              "type": "Organization"
            "isCurrent": true, 
            "type": "OrganizationRole"
            "id": "https://www.grid.ac/institutes/grid.4372.2", 
            "type": "Organization"
            "id": "https://www.grid.ac/institutes/grid.419859.8", 
            "type": "Organization"
            "id": "https://www.grid.ac/institutes/grid.419501.8", 
            "type": "Organization"
        "familyName": "Weston", 
        "givenName": "Jason", 
        "id": "sg:person.01242545503.37", 
        "sameAs": [
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T14:52", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        "sdSource": "s3://com-uberresearch-data-dimensions-researchers-20181010/20181011/dim_researchers/base/researchers_588.json", 
        "type": "Person"

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


    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/person.01242545503.37'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.01242545503.37'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.01242545503.37'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.01242545503.37'


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