472 search results - page 33 / 95 » On the Entropy of a Hidden Markov Process |
104
click to vote
SARA
2007
Springer
15 years 5 months ago
2007
Springer
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
86
Voted
BVAI
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. In this article we present a model of realistic drawing accounting for visuomotor coordination, namely the strategies adopted to coordinate the processes of eye and hand ...
106
click to vote
CIKM
2005
Springer
15 years 4 months ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
ACL
2007
15 years 16 days ago
2007
This paper describes our work on building Part-of-Speech (POS) tagger for Bengali. We have use Hidden Markov Model (HMM) and Maximum Entropy (ME) based stochastic taggers. Bengali...
ACL
1998
15 years 13 days ago
1998
In this paper we examine how the differences in modelling between different data driven systems performing the same NLP task can be exploited to yield a higher accuracy than the b...