Who Cited It

Adaptive Computation and Machine Learning

2012 · The MIT Press eBooks · 1,437 citations · 1 from inside this corpus

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Adaptive Computation and Machine Learning (2012)Adaptive Computation and Mach…The Nature of Statistical Learning Theory (1995)The Nature of Statistical Lea…A tutorial on hidden Markov models and selected applications in speech recognition (1989)A tutorial on hidden Markov m…Learning Internal Representations by Error Propagation (1985)Learning Internal Representat…Genetic Programming: On the Programming of Computers by Means of Natural Selection (1992)Genetic Programming: On the P…Identification of common molecular subsequences (1981)Identification of common mole…Reinforcement Learning: A Survey (1996)Reinforcement Learning: A Sur…Information theory and statistics (1959)Information theory and statis…Introduction to the theory of neural computation (1994)Introduction to the theory of…Adaptive Mixtures of Local Experts (1991)Adaptive Mixtures of Local Ex…A Comparative Study on Feature Selection in Text Categorization (1997)A Comparative Study on Featur…Bayesian Learning for Neural Networks (1996)Bayesian Learning for Neural …Neural network ensembles (1990)Neural network ensemblesLocal Computations with Probabilities on Graphical Structures and Their Application to Ex… (1988)Local Computations with Proba…Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms (1998)Approximate Statistical Tests…Statistical Analysis of Finite Mixture Distributions. (1987)Statistical Analysis of Finit…Introduction to Bayesian Networks (2019)Introduction to Bayesian Netw…Learning in Graphical Models (1998)Learning in Graphical ModelsA Technique for High-Performance Data Compression (1984)A Technique for High-Performa…Universal approximation of an unknown mapping and its derivatives using multilayer feedfo… (1990)Universal approximation of an…Hidden Markov Models in Computational Biology (1994)Hidden Markov Models in Compu…Genetic programming II: Automatic discovery of reusable programs (1995)Genetic programming II: Autom…Graphical Models in Applied Multivariate Statistics (1991)Graphical Models in Applied M…Neural Network Ensembles, Cross Validation, and Active Learning (1994)Neural Network Ensembles, Cro…Introduction to Metropolis, Rosenbluth, Rosenbluth, Teller, and Teller (1953) Equations o… (1997)Introduction to Metropolis, R…Parallel Networks that Learn to Pronounce English Text (1987)Parallel Networks that Learn …Support vector machines for spam categorization (1999)Support vector machines for s…Reinforcement learning in robotics: A survey (2013)Reinforcement learning in rob…
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What this paper cites, inside the corpus

PaperYearCited
The Nature of Statistical Learning Theory199539,409
A tutorial on hidden Markov models and selected applications in speech recognition198922,910
Learning Internal Representations by Error Propagation198516,273
Genetic Programming: On the Programming of Computers by Means of Natural Selection199213,277
Identification of common molecular subsequences198110,144
Reinforcement Learning: A Survey19968,953
Information theory and statistics19597,244
Introduction to the theory of neural computation19946,461
Adaptive Mixtures of Local Experts19915,234
A Comparative Study on Feature Selection in Text Categorization19974,770
Bayesian Learning for Neural Networks19964,397
Neural network ensembles19904,288
Local Computations with Probabilities on Graphical Structures and Their Application to Ex…19883,977
Approximate Statistical Tests for Comparing Supervised Classification Learning Algorithms19983,759
Statistical Analysis of Finite Mixture Distributions.19872,951
Introduction to Bayesian Networks20192,594
Learning in Graphical Models19982,437
A Technique for High-Performance Data Compression19842,194
Universal approximation of an unknown mapping and its derivatives using multilayer feedfo…19902,132
Hidden Markov Models in Computational Biology19941,967
Genetic programming II: Automatic discovery of reusable programs19951,914
Graphical Models in Applied Multivariate Statistics19911,839
Neural Network Ensembles, Cross Validation, and Active Learning19941,803
Introduction to Metropolis, Rosenbluth, Rosenbluth, Teller, and Teller (1953) Equations o…19971,559
Parallel Networks that Learn to Pronounce English Text19871,557
Support vector machines for spam categorization19991,480

What cites it, inside the corpus

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Topics

Neural Networks and ApplicationsComputer Science
Computability, Logic, AI AlgorithmsComputer Science
Algorithms and Data CompressionComputer Science

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partial

One field of this record is missing or disagrees with another. What is shown below is what the source publishes.

  • weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
  • supports361 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:59+00:00.

sha256 59007f057c7dae86…