219 search results - page 6 / 44 » Learning the Dimensionality of Hidden Variables |
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
Predictive state representations (PSRs) have recently been proposed as an alternative to partially observable Markov decision processes (POMDPs) for representing the state of a dy...
CSL
2007
Springer
2007
Springer
Speaker-adaptive learning of resonance targets in a hidden trajectory model of speech coarticulation
13 years 11 months ago
A novel speaker-adaptive learning algorithm is developed and evaluated for a hidden trajectory model of speech coarticulation and reduction. Central to this model is the process o...
ICIP
2006
IEEE
15 years 16 days ago
2006
IEEE
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
KES
1998
Springer
14 years 3 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...
IJCNN
2000
IEEE
14 years 2 months ago
2000
IEEE
For unsupervised clustering in a network of spiking neurons we develop a temporal encoding of continuously valued data to obtain arbitrary clustering capacity and precision with a...