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The Nature of Statistical Learning Theory
, 1999
"... Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based on the deve ..."
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Cited by 13236 (32 self)
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Statistical learning theory was introduced in the late 1960’s. Until the 1990’s it was a purely theoretical analysis of the problem of function estimation from a given collection of data. In the middle of the 1990’s new types of learning algorithms (called support vector machines) based
Maximum likelihood from incomplete data via the EM algorithm
 JOURNAL OF THE ROYAL STATISTICAL SOCIETY, SERIES B
, 1977
"... A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value situat ..."
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Cited by 11972 (17 self)
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A broadly applicable algorithm for computing maximum likelihood estimates from incomplete data is presented at various levels of generality. Theory showing the monotone behaviour of the likelihood and convergence of the algorithm is derived. Many examples are sketched, including missing value
Computational Learning Theory
"... "Computational Learning Theory, " I taught at Washington University in the spring of 1991. Students taking the course were assumed to have background in the design and analysis of algorithms as well as good mathematical background. Given that there is no text available on this subj ..."
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"Computational Learning Theory, " I taught at Washington University in the spring of 1991. Students taking the course were assumed to have background in the design and analysis of algorithms as well as good mathematical background. Given that there is no text available
Computational Learning Theory
, 2013
"... Theory of the Learnable [Val84], in which he proposes an approach to study the phenomenon of learning from a computational point of view. He suggests to view learning as the task of acquiring an algorithm without explicit programming. 1 Valiant’s 84 article: The birth of PAClearning Valiant introdu ..."
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Theory of the Learnable [Val84], in which he proposes an approach to study the phenomenon of learning from a computational point of view. He suggests to view learning as the task of acquiring an algorithm without explicit programming. 1 Valiant’s 84 article: The birth of PAClearning Valiant
$ % Computational Learning Theory
"... $ % The following is an approximate timetable for the course: ..."
Computational Learning Theory
"... The approach used in rectangular hypotheses is just one simple case: Mediumbuilt people No general rule has been derived Is there any means to determine if a function is PAC learnable and derive the right bound? The answer is yes and it is based on theVapnik ..."
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The approach used in rectangular hypotheses is just one simple case: Mediumbuilt people No general rule has been derived Is there any means to determine if a function is PAC learnable and derive the right bound? The answer is yes and it is based on theVapnik
ABSTRACT Advances in Quantum Computational Learning Theory
, 2006
"... This dissertation explores results at the intersection of two important branches of theoretical computer science: quantum computation, which studies the power of computing devices based on quantum physical phenomena, and computational learning theory, which studies the foundations of machine learnin ..."
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This dissertation explores results at the intersection of two important branches of theoretical computer science: quantum computation, which studies the power of computing devices based on quantum physical phenomena, and computational learning theory, which studies the foundations of machine
Results 1  10
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113,913