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Keyword

learning algorithms

Description: Learning algorithms are computational procedures that use data or experience to improve performance on a task in machine learning.
Wikidata ID: wiki/Q110688486
OpenAlex ID: keywords/learning-algorithms
The Nature of Statistical Learning Theory
1995 · Vladimir N. Vapnik · Springer eBooks · 39,143
Machine learning: Trends, perspectives, and prospects
2015 · M. I. Jordan, T. M. Mitchell · Science · 9,929
Learning Deep Architectures for AI
2009 · Y. Bengio · Foundations and Trends® in Machine Learning · 7,022
Information theory, inference, and learning algorithms
2004 · Choice Reviews Online · 6,363
An overview of statistical learning theory
1999 · V.N. Vapnik · IEEE Transactions on Neural Networks · 6,277
Learning Deep Architectures for AI
2009 · Y. Bengio · now publishers, Inc. eBooks · 4,941
Information Theory, Inference, and Learning Algorithms
2004 · MacKay, DJC, , · Kybernetes · 4,941
Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
1989 · Michael McCloskey, Neal J. Cohen · ˜The œPsychology of learning and motivation/˜The œpsychology of learning and motivation · 3,765
A Learning Algorithm for Boltzmann Machines*
1985 · David H. Ackley, Geoffrey E. Hinton, et al. · Cognitive Science · 3,402
Understanding Machine Learning
2014 · Shai Shalev-Shwartz, Shai Ben-David · Cambridge University Press eBooks · 3,104
A survey of iterative learning control
2006 · D.A. Bristow, M. Tharayil, et al. · IEEE Control Systems · 2,983
Understanding Machine Learning: From Theory To Algorithms
2015 · Shai Shalev‐Shwartz, Shai Ben-David · 2,855
Opposition-Based Learning: A New Scheme for Machine Intelligence
2006 · H.R. Tizhoosh · 2,301
Towards spike-based machine intelligence with neuromorphic computing
2019 · Kaushik Roy, Akhilesh Jaiswal, et al. · Nature · 2,205
Assessing the accuracy of prediction algorithms for classification: an overview
2000 · Pierre Baldi, Søren Brunak, et al. · Bioinformatics · 2,112
A new model for learning in graph domains
2006 · M. Gori, G. Monfardini, et al. · IEEE International Joint Conference on Neural Networks (IJCNN) · 2,075
Fundamentals of neural networks
1993 · Laurene V. Fausett · 1,571
What Size Net Gives Valid Generalization?
1989 · Eric B. Baum, David Haussler · Neural Computation · 1,550
Web mining research
2000 · Raymond Kosala, Hendrik Blockeel · ACM SIGKDD Explorations Newsletter · 1,463
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Simulated annealing and boltzmann machines: A stochastic approach to combinatorial optimization and neural computing
1990 · Discrete Applied Mathematics · 1,443
Kernel Methods in Machine Learning
2008 · Thomas Hofmann, Bernhard Schölkopf, et al. · 1,346
The Tradeoffs of Large-Scale Learning
2011 · Léon Bottou, Olivier Bousquet · The MIT Press eBooks · 1,200
Foundations of Machine Learning
2019 · Ajit Singh · SSRN Electronic Journal · 1,124
Learning and Relearning in Boltzmann Machines
2001 · G. E. Hinton, T. J. Sejnowski · Graphical Models · 1,036
Working and organizing in the age of the learning algorithm
2018 · Samer Faraj, Stella Pachidi, et al. · Information and Organization · 915
Works count: 7,961
Citation count: 232,100
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