1318 search results - page 108 / 264 » Aggregation-based model reduction of a Hidden Markov Model |
122
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ACL
2009
15 years 1 months ago
2009
Statistical language modeling (SLM) has been used in many different domains for decades and has also been applied to information retrieval (IR) recently. Documents retrieved using...
122
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
Structured output prediction is an important machine learning problem both in theory and practice, and the max-margin Markov network (M3 N) is an effective approach. All state-of-...
135
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ICML
2006
IEEE
16 years 4 months ago
2006
IEEE
The Viterbi algorithm is an efficient and optimal method for decoding linear-chain Markov Models. However, the entire input sequence must be observed before the labels for any tim...
131
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
We introduce an expectation maximizationtype (EM) algorithm for maximum likelihood optimization of conditional densities. It is applicable to hidden variable models where the dist...
136
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TACAS
2007
Springer
15 years 10 months ago
2007
Springer
This paper studies the effect of bisimulation minimisation in model checking of monolithic discrete-time and continuous-time Markov chains as well as variants thereof with rewards...