About: Computational learning theory

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In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms.

Attributes	Values
rdf:type	Thing work
rdfs:label	Computational learning theory (en) Computationele leertheorie (nl) Teoria da aprendizagem computacional (pt) Теория вычислительного обучения (ru)
rdfs:comment	In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms. (en) De computationele leertheorie is een onderdeel van de theoretische informatica waarin algoritmes die gebruikt worden in het machinaal leren worden geanalyseerd. (nl) Теория вычислительного обучения (англ. computational learning theory, или просто теория обучения) — это подобласть теории искусственного интеллекта, посвящённая разработке и анализу алгоритмов машинного обучения. (ru) A teoria da aprendizagem computacional é um sub-campo da inteligência artificial e teoria da computação que busca construir modelos formais de projeto e analise de agentes de aprendizado baseados em máquinas de estado. Alguns modelos famosos propostos são o Provavelmente Aproximadamente Correto, o AIXI, Máquinas de Gödel, Indução Universal de Solomonoff e Identificação de Linguagem no Limite. Diferente da , que busca projetar e entender ferramentas que extraem padrões estatísticos nos dados pelo método indutivo, a teoria da aprendizagem computacional tem maior foco em entender os limites computacionais de qualquer agente inferencial, como representações simbólico numéricas, complexidade computacional e decidibilidade. Trabalhos mais recentes no campo tem explorado o projeto de agentes que (pt)
rdfs:seeAlso	Computational learning theory
dcterms:subject	Computational learning theory Machine learning Computational fields of study Theoretical computer science
Wikipage page ID	387537 (xsd:integer)
Wikipage revision ID	1124273696 (xsd:integer)
Link from a Wikipage to another Wikipage	Bayesian inference Bayesian probability Probably approximately correct learning Algorithmic learning theory Computational learning theory List of important publications in computer science Vladimir Vapnik E. Mark Gold Inference Cryptography One-way function Online machine learning Alexey Chervonenkis Grammar induction Dana Angluin Dana Ron Leslie Valiant Machine learning Computer science Stability (learning theory) Occam learning Machine learning Computational fields of study Distribution learning theory Error Tolerance (PAC learning) Probability Artificial intelligence Theoretical computer science Support vector machine Boosting (machine learning) Polynomial time Information theory Oded Goldreich VC dimension Manfred K. Warmuth P versus NP problem Supervised learning Boosting (meta-algorithm) Frequency probability Belief networks VC theory
Link from a Wikipage to an external page	http://www.trhvidsten.com/docs/classics/Blumer-1989.pdf https://courses.engr.illinois.edu/ece544na/fa2014/vapnik71.pdf http://research.microsoft.com/adapt/MSBNx/msbnx/Basics_of_Bayesian_Inference.htm http://web.mit.edu/~6.863/www/spring2009/readings/gold67limit.pdf http://portal.acm.org/citation.cfm%3Fid=129712.129746 http://www.montefiore.ulg.ac.be/~geurts/Cours/AML/Readings/Valiant.pdf http://www.wisdom.weizmann.ac.il/~oded/PS/ul.ps http://www.cse.buffalo.edu/~hungngo/classes/2008/694/papers/occam.pdf http://citeseerx.ist.psu.edu/viewdoc/summary%3Fdoi=10.1.1.47.2224 http://citeseer.ist.psu.edu/dhagat94pac.html http://citeseer.ist.psu.edu/haussler90probably.html http://citeseer.ist.psu.edu/kearns89cryptographic.html http://citeseer.ist.psu.edu/kearns93efficient.html http://citeseer.ist.psu.edu/kearns93learning.html http://citeseer.ist.psu.edu/schapire90strength.html
sameAs	Computational learning theory Computational learning theory Computational learning theory Computational learning theory Computational learning theory Computational learning theory Computational learning theory Computational learning theory
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Link from a Wikipa... related subject.	Machine learning
has abstract	In computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms. (en) De computationele leertheorie is een onderdeel van de theoretische informatica waarin algoritmes die gebruikt worden in het machinaal leren worden geanalyseerd. (nl) Теория вычислительного обучения (англ. computational learning theory, или просто теория обучения) — это подобласть теории искусственного интеллекта, посвящённая разработке и анализу алгоритмов машинного обучения. (ru) A teoria da aprendizagem computacional é um sub-campo da inteligência artificial e teoria da computação que busca construir modelos formais de projeto e analise de agentes de aprendizado baseados em máquinas de estado. Alguns modelos famosos propostos são o Provavelmente Aproximadamente Correto, o AIXI, Máquinas de Gödel, Indução Universal de Solomonoff e Identificação de Linguagem no Limite. Diferente da , que busca projetar e entender ferramentas que extraem padrões estatísticos nos dados pelo método indutivo, a teoria da aprendizagem computacional tem maior foco em entender os limites computacionais de qualquer agente inferencial, como representações simbólico numéricas, complexidade computacional e decidibilidade. Trabalhos mais recentes no campo tem explorado o projeto de agentes que atuam no processo de aprendizado, como ou . (pt)
gold:hypernym	Analysis
prov:wasDerivedFrom	wikipedia-en:Computational_learning_theory?oldid=1124273696&ns=0
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foaf:isPrimaryTopicOf	wikipedia-en:Computational_learning_theory
is rdfs:seeAlso of	Computational learning theory

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