MACHINE LEARNING TECHNIQUES - LASA

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10.2 Other Recommended Readings
Kernel Machines
• A Tutorial on Support Vector Machines for Pattern Recognition, C.J.C. Burges, Data
Mining and Knowledge Discovery, 2, 121167 (1998).
Original Hopfield Network:
J.J. Hopfield, "Neural networks as physical systems with emergent collective
computational abilities", Proc. National Academy of Sciences of USA, vol.72, pp.2554-
2558, 1982.
J.J. Hopfield. Pattern recognition computation using action potential timing for stimulus
representation. Nature, 376:33--36, 1995
Boltzmann Machine:
G Barna and K Kaski 1989 Variations on the Boltzmann machine J. Phys. A: Math. Gen.
22 5143-5151
Ackley D H, Hinton G E and Sejnowski T J 1985 Cognitive Sci. 9 147.
Genetic Algorithms:
Holland_ J (1975) Adaptation In Natural and Articial Systems. University of Michigan
Press.
Reinforcement Learning:
Leslie Pack Kaelbling & Michael L. Littman and Andrew W. Moore, Reinforcement
Learning: A Survey, Journal of Artificial Intelligence Research, Volume 4, 1996., 1996.
State-of-the-art
State-of-the-art research in Machine Learning can be found in the proceedings of the
International Conference in Machine Learning (ICML) and the Neural Information Processing
Symposium (NIPS), but also in publications in major journals such as the Machine Learning
Journal, the IEEE Transactions on Signal processing, IEEE Transactions on Pattern Analysis,
IEEE Transactions on Pattern Recognition, the Journal of Machine Learning Research.
State-of-the-art research in Neural Networks can be found in the proceedings of the International
Conference on Artificial Neural Networks (ICANN), the Internation Joint Conference on Neural
Networks (IJCNN), the European Conference on Artificial Neural Networks (ECANN) and in major
journals such as Neural Networks, Neural Computation, IEEE transactions on Neural Networks,
Neurocomputing.
© A.G.Billard 2004 – Last Update March 2011