2103 search results - page 79 / 421 » Approximate Learning of Dynamic Models |
146
click to vote
CDC
2010
IEEE
14 years 9 months ago
2010
IEEE
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
131
Voted
IFM
2009
Springer
15 years 9 months ago
2009
Springer
We present the new technique of dynamic path reduction (DPR), which allows one to prune redundant paths from the state space of a program under verification. DPR is a very general...
125
Voted
TMI
2008
15 years 2 months ago
2008
A method is presented for the analysis of dynamic positron emission tomography (PET) data using sparse Bayesian learning. Parameters are estimated in a compartmental framework usin...
112
Voted
ETS
2002
IEEE
15 years 2 months ago
2002
IEEE
Information technology is arguably an important tool for knowledge management, facilitating learning in a business context. However, the current use of information technology in t...
115
Voted
IJON
2007
15 years 2 months ago
2007
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...