1318 search results - page 11 / 264 » Aggregation-based model reduction of a Hidden Markov Model |
AIIA
2007
Springer
14 years 27 days ago
2007
Springer
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
CIKM
2008
Springer
13 years 8 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...
ICML
1999
IEEE
14 years 7 months ago
1999
IEEE
We present a learning algorithm for non-parametric hidden Markov models with continuous state and observation spaces. All necessary probability densities are approximated using sa...
SP
2002
IEEE
13 years 6 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...
ICIP
2004
IEEE
14 years 8 months ago
2004
IEEE
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...