ES8700465A1 - Un elemento de aprendizaje probabilistico que utiliza bus- queda excitada por contexto - Google Patents

Un elemento de aprendizaje probabilistico que utiliza bus- queda excitada por contexto

Info

Publication number
ES8700465A1
ES8700465A1 ES539619A ES539619A ES8700465A1 ES 8700465 A1 ES8700465 A1 ES 8700465A1 ES 539619 A ES539619 A ES 539619A ES 539619 A ES539619 A ES 539619A ES 8700465 A1 ES8700465 A1 ES 8700465A1
Authority
ES
Spain
Prior art keywords
elements
context
excited
uses search
probabilistic learning
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired
Application number
ES539619A
Other languages
English (en)
Other versions
ES539619A0 (es
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nokia Spain SA
Original Assignee
Alcatel Espana SA
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Alcatel Espana SA filed Critical Alcatel Espana SA
Publication of ES539619A0 publication Critical patent/ES539619A0/es
Publication of ES8700465A1 publication Critical patent/ES8700465A1/es
Expired legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/29—Graphical models, e.g. Bayesian networks
    • G06F18/295—Markov models or related models, e.g. semi-Markov models; Markov random fields; Networks embedding Markov models
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/84—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using probabilistic graphical models from image or video features, e.g. Markov models or Bayesian networks
    • G06V10/85—Markov-related models; Markov random fields

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Physics & Mathematics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Medical Informatics (AREA)
  • Data Mining & Analysis (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Evolutionary Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Mathematical Physics (AREA)
  • Character Discrimination (AREA)
  • Machine Translation (AREA)
  • Image Analysis (AREA)

Abstract

ELEMENTO DE APRENDIZAJE PROBABILISTICO QUE UTILIZA BUSQUEDA EXCITADA POR CONTEXTO. CONSTA DE ELEMENTOS PARA RECIBIR LOS OBJETOS, ELEMENTOS DE MEMORIA PARA LOS ESTADOS PREVIAMENTE APRENDIDOS, ELEMENTOS PARA LA CORRELACION ENTRE DATOS ENTRANTES Y DATOS-PATRON ALMACENADOS Y OTROS ELEMENTOS RELACIONADOS CON PROBABILIDADES DE NUEVO ESTADO Y DE FIN DE ESTADO. IGUALMENTE SE DETERMINAN GRADOS DE CONFIANZA EN LOS ESTADOS Y ALGORITMOS PARA PROPORCIONAR LAS PROBABILIDADES DE ESTADOS POSIBLES. SE UTILIZA UNA MEMORIA ORGANIZADA EN CONTEXTO QUE INCLUYE VARIAS ESTRUCTURAS EN ARBOL PARA ALMACENAR LOS ESTADOS APRENDIDOS PREVIAMENTE, LOS OBJETIVOS CONTENIDOS EN LOS MISMOS Y LOS TIPOS PREDETERMINADOS DE CONOCIMIENTOS REFERENTES A LOS OBJETOS Y ESTADOS ALMACENADOS.
ES539619A 1984-01-16 1985-01-16 Un elemento de aprendizaje probabilistico que utiliza bus- queda excitada por contexto Expired ES8700465A1 (es)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US06/571,223 US4599692A (en) 1984-01-16 1984-01-16 Probabilistic learning element employing context drive searching

Publications (2)

Publication Number Publication Date
ES539619A0 ES539619A0 (es) 1986-09-01
ES8700465A1 true ES8700465A1 (es) 1986-09-01

Family

ID=24282816

Family Applications (1)

Application Number Title Priority Date Filing Date
ES539619A Expired ES8700465A1 (es) 1984-01-16 1985-01-16 Un elemento de aprendizaje probabilistico que utiliza bus- queda excitada por contexto

Country Status (6)

Country Link
US (1) US4599692A (es)
JP (1) JPS60229183A (es)
AU (1) AU3666984A (es)
BR (1) BR8500195A (es)
CA (1) CA1232687A (es)
ES (1) ES8700465A1 (es)

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US20070111180A1 (en) * 2005-10-24 2007-05-17 Sperle Robin U Delivery methods for remote learning system courses
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US20070122790A1 (en) * 2005-10-24 2007-05-31 Sperle Robin U Monitoring progress of external course
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US8571462B2 (en) 2005-10-24 2013-10-29 Sap Aktiengesellschaft Method and system for constraining learning strategies
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Also Published As

Publication number Publication date
US4599692A (en) 1986-07-08
ES539619A0 (es) 1986-09-01
BR8500195A (pt) 1985-08-20
CA1232687A (en) 1988-02-09
AU3666984A (en) 1985-07-25
JPS60229183A (ja) 1985-11-14

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Legal Events

Date Code Title Description
FD1A Patent lapsed

Effective date: 19970303