99 search results - page 18 / 20 » Learning Hidden Markov Models with Distributed State Represe... |
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
This paper introduces a new approach to actionvalue function approximation by learning basis functions from a spectral decomposition of the state-action manifold. This paper exten...
KDD
2008
ACM
14 years 8 months ago
2008
ACM
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
TSP
2008
13 years 6 months ago
2008
A new hierarchical nonparametric Bayesian framework is proposed for the problem of multi-task learning (MTL) with sequential data. The models for multiple tasks, each characterize...
ACL
2008
13 years 9 months ago
2008
Accurate unsupervised learning of phonemes of a language directly from speech is demonstrated via an algorithm for joint unsupervised learning of the topology and parameters of a ...
IJCAI
2003
13 years 9 months ago
2003
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...