619 search results - page 4 / 124 » Experimental Evaluation of Hierarchical Hidden Markov Models |
ICONIP
2008
13 years 10 months ago
2008
A number of learning machines used in information science are not regular, but rather singular, because they are non-identifiable and their Fisher information matrices are singula...
EMMCVPR
2009
Springer
14 years 3 months ago
2009
Springer
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
JCDL
2006
ACM
14 years 2 months ago
2006
ACM
A number of projects are creating searchable digital libraries of printed books. These include the Million Book Project, the Google Book project and similar efforts from Yahoo an...
AI
2006
Springer
13 years 8 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
IDEAL
2004
Springer
14 years 1 months ago
2004
Springer
We study a stock trading method based on dynamic bayesian networks to model the dynamics of the trend of stock prices. We design a three level hierarchical hidden Markov model (HHM...