697 search results - page 19 / 140 » Learning a Hidden Hypergraph |
KES
1998
Springer
15 years 1 months ago
1998
Springer
Robotic controllers take advantage from neural network learning capabilities as long as the dimensionality of the problem is kept moderate. This paper explores the possibilities of...
NIPS
2000
14 years 11 months ago
2000
A serious problem in learning probabilistic models is the presence of hidden variables. These variables are not observed, yet interact with several of the observed variables. As s...
SP
2002
IEEE
14 years 9 months ago
2002
IEEE
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
ALT
2004
Springer
15 years 6 months ago
2004
Springer
Abstract. A hidden Markov model is introduced for descriptive modelling the mosaic–like structures of haplotypes, due to iterated recombinations within a population. Methods usin...
84
Voted
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
This paper introduces the sparse multilayer perceptron (SMLP) which learns the transformation from the inputs to the targets as in multilayer perceptron (MLP) while the outputs of...