472 search results - page 4 / 95 » On the Entropy of a Hidden Markov Process |
ANSS
2006
IEEE
14 years 1 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
13 years 11 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...
ICML
2003
IEEE
14 years 8 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
13 years 8 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
14 years 7 months ago
2003
ACM