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Statistical Mechanics of Learning
Abstract
Learning is one of the things that humans do naturally, and it has always been a challenge for us to understand the process. Nowadays this challenge has another dimension as we try to build machines that are able to learn and to undertake tasks such as datamining, image processing and pattern recognition. We can formulate a simple framework, artificial neural networks, in which learning from examples may be described and understood. The contribution to this subject made over the last decade by researchers applying the techniques of statistical mechanics is the subject of this book. The authors provide a coherent account of various important concepts and techniques that are currently only found scattered in papers, supplement this with background material in mathematics and physics and include many examples and exercises to make a book that can be used with courses, or for self-teaching, or as a handy reference.
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Cited by
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Brunel, N., Hakim, V., Isope, P., Nadal, J.-P., & Barbour, B. (2004) · Neuron · doi:10.1016/j.neuron.2004.08.023 · Cited by 270
Inverse statistical problems: from the inverse Ising problem to data science
Nguyen, H. C., Zecchina, R., & Berg, J. (2017) · Advances in Physics · doi:10.1080/00018732.2017.1341604 · Cited by 258
Ganguli, S., & Sompolinsky, H. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150410 · Cited by 256
Organizing memories for generalization in complementary learning systems
Sun, W., Advani, M., Spruston, N., Saxe, A., & Fitzgerald, J. E. (2023) · Nature Neuroscience · doi:10.1038/s41593-023-01382-9 · Cited by 103
Memorizing without overfitting: Bias, variance, and interpolation in overparameterized models
Rocks, J. W., & Mehta, P. (2022) · Physical Review Research · doi:10.1103/physrevresearch.4.013201 · Cited by 74
Metadata
- Authors
- Engel, A., & Van den Broeck, C.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 2001-03-29
- OpenAlex
- W1650706190
- Cited by
- 483
- References
- 0
- FWCI
- 3.24
- Type
- book
- Language
- en
- Open access
- closed
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