887 search results - page 1 / 178 » Representing Systems with Hidden State |
118
Voted
AAAI
2006
15 years 1 months ago
2006
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...
114
Voted
BMCBI
2004
15 years 4 days ago
2004
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
110
click to vote
RECOMB
2004
Springer
16 years 17 days ago
2004
Springer
Abstract. We present an approach to inferring probabilistic models of generegulatory networks that is intended to provide a more mechanistic representation of transcriptional regul...
92
Voted
CSL
1999
Springer
14 years 12 months ago
1999
Springer
This paper presents a new approach to speech synthesis in which a set of cross-word decision-tree state-clustered context-dependent hidden Markov models are used to define a set o...
MLMI
2004
Springer
15 years 5 months ago
2004
Springer
In this paper a system that transforms speech waveforms to animated faces are proposed. The system relies on continuous state space models to perform the mapping, this makes it po...