Vitaly Feldman


Ontology type: schema:Person     


Person Info

NAME

Vitaly

SURNAME

Feldman

Publications in SciGraph latest 50 shown

  • 2016 Statistical Query Learning in ENCYCLOPEDIA OF ALGORITHMS
  • 2016 Hardness of Proper Learning in ENCYCLOPEDIA OF ALGORITHMS
  • 2015-05 Statistical Active Learning Algorithms for Noise Tolerance and Differential Privacy in ALGORITHMICA
  • 2014 Statistical Query Learning (1998; Kearns) in ENCYCLOPEDIA OF ALGORITHMS
  • 2014 Hardness of Proper Learning (1988; Pitt, Valiant) in ENCYCLOPEDIA OF ALGORITHMS
  • 2009 Sorting and Selection with Imprecise Comparisons in AUTOMATA, LANGUAGES AND PROGRAMMING
  • 2008 Statistical Query Learning in ENCYCLOPEDIA OF ALGORITHMS
  • 2008 Hardness of Proper Learning in ENCYCLOPEDIA OF ALGORITHMS
  • 2007 Separating Models of Learning with Faulty Teachers in ALGORITHMIC LEARNING THEORY
  • 2005 On Attribute Efficient and Non-adaptive Learning of Parities and DNF Expressions in LEARNING THEORY
  • Affiliations

    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.481551.c", 
              "type": "Organization"
            }, 
            "isCurrent": true, 
            "type": "OrganizationRole"
          }
        ], 
        "familyName": "Feldman", 
        "givenName": "Vitaly", 
        "id": "sg:person.01114435254.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114435254.93"
        ], 
        "sdDataset": "persons", 
        "sdDatePublished": "2019-03-07T15:02", 
        "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_730.json", 
        "type": "Person"
      }
    ]
     

    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/person.01114435254.93'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/person.01114435254.93'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/person.01114435254.93'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/person.01114435254.93'


     




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


    ...