472 search results - page 4 / 95 » On the Entropy of a Hidden Markov Process |
ANSS
2006
IEEE
15 years 3 months ago
2006
IEEE
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
COMPLEX
2009
Springer
15 years 1 months ago
2009
Springer
The causal states of computational mechanics define the minimal sufficient (prescient) memory for a given stationary stochastic process. They induce the -machine which is a hidden...
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ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
This paper presents a novel discriminative learning technique for label sequences based on a combination of the two most successful learning algorithms, Support Vector Machines an...
FLAIRS
2006
14 years 10 months ago
2006
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
ICIAP
2003
ACM
15 years 9 months ago
2003
ACM