142 search results - page 6 / 29 » Factorial Hidden Markov Models and the Generalized Backfitti... |
127
Voted
CORR
2008
Springer
15 years 2 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
131
Voted
JMLR
2006
15 years 2 months ago
2006
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
290
Voted
ICA
2012
Springer
13 years 10 months ago
2012
Springer
Abstract. The use of high level information in source separation algorithms can greatly constrain the problem and lead to improved results by limiting the solution space to semanti...
127
Voted
CIKM
2008
Springer
15 years 4 months ago
2008
Springer
We propose a novel probabilistic method based on the Hidden Markov Model (HMM) to learn the structure of a Latent Variable Model (LVM) for query language modeling. In the proposed...
148
Voted
NIPS
1992
15 years 3 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...