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Kristopher E Nybakken

age ~56

from Brookline, MA

Also known as:
  • Kristopher N

Kristopher Nybakken Phones & Addresses

  • Brookline, MA
  • Tucson, AZ
  • Middlebury, CT
  • 2217 California St, San Francisco, CA 94115 • 4158856404 • 4158856653
  • 3414 Us Grant Pl, Portland, OR 97212 • 5033317133
  • 2217 California St, San Francisco, CA 94115 • 9257594748

Work

  • Position:
    Personal Care and Service Occupations

Education

  • Degree:
    Associate degree or higher
Name / Title
Company / Classification
Phones & Addresses
Kristopher Nybakken
Principal
NEWTON SECOND ADVISORS LLC
Business Services at Non-Commercial Site · Business Services, Nec, Nsk · Nonclassifiable Establishments
5136 N Pueblo Villas Dr, Tucson, AZ 85704
Kristopher Nybakken
President
ISS ACQUISITION CORP
795 Folsom St 1, San Francisco, CA 94107
795 Folsom St, San Francisco, CA 94107
Kristopher Nybakken
President
AZURE CRISTAL PUBLISHING
795 Folsom St, San Francisco, CA 94107
Kristopher Nybakken
President
NEWTON SECOND HOLDING, INC
2217 California St, San Francisco, CA 94115

Us Patents

  • Intelligent Query System For Automatically Indexing Information In A Database And Automatically Categorizing Users

    view source
  • US Patent:
    59744120, Oct 26, 1999
  • Filed:
    Sep 24, 1997
  • Appl. No.:
    8/936354
  • Inventors:
    Brian L. Hazlehurst - Portland OR
    Scott M. Burke - Corvallis OR
    Kristopher E. Nybakken - Portland OR
  • Assignee:
    Sapient Health Network - Portland OR
  • International Classification:
    G06F 1700
  • US Classification:
    707 3
  • Abstract:
    An Intelligent Query Engine (IQE) system automatically develops multiple information spaces in which different types of real-world objects (e. g. , documents, users, products) can be represented. Machine learning techniques are used to facilitate automated emergence of information spaces in which objects are represented as vectors of real numbers. The system then delivers information to users based upon similarity measures applied to the representation of the objects in these information spaces. The system simultaneously classifies documents, users, products, and other objects. Documents are managed by collators that act as classifiers of overlapping portions of the database of documents. Collators evolve to meet the demands for information delivery expressed by user feedback. Liaisons act on the behalf of users to elicit information from the population of collators.
  • Intelligent Query System For Automatically Indexing In A Database And Automatically Categorizing Users

    view source
  • US Patent:
    6289353, Sep 11, 2001
  • Filed:
    Jun 10, 1999
  • Appl. No.:
    9/329657
  • Inventors:
    Brian L. Hazlehurst - Portland OR
    Scott M. Burke - Corvallis OR
    Kristopher E. Nybakken - Portland OR
  • Assignee:
    Webmd Corporation - Atlanta GA
  • International Classification:
    G06F 1700
  • US Classification:
    707102
  • Abstract:
    An intelligent Query Engine (IQE) system automatically develops multiple information spaces in which different types of real-world objects (e. g. , documents, users, products) can be represented. Machine learning techniques are used to facilitate automated emergence of information spaces in which objects are represented as vectors of real numbers. The system then delivers information to users based upon similarity measures applied to the representation of the objects in these information spaces. The system simultaneously classifies documents, users, products, and other objects. Documents are managed by collators that act as classifiers of overlapping portions of the database of documents. Collators evolve to meet the demands for information delivery expressed by user feedback. Liaisons act on the behalf of users to elicit information from the population of collators.

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