278 search results - page 25 / 56 » Anticipation Model for Sequential Learning of Complex Sequen... |
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
It was recently proposed the use of Bayesian networks for object tracking. Bayesian networks allow to model the interaction among detected trajectories, in order to obtain a relia...
TAMC
2009
Springer
14 years 2 months ago
2009
Springer
We study a new model of computation called stream checking on graph problems where a space-limited verifier has to verify a proof sequentially (i.e., it reads the proof as a strea...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...
BMCBI
2010
13 years 8 months ago
2010
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
AAIP
2009
13 years 9 months ago
2009
Inductive programming systems characteristically exhibit an exponential explosion in search time as one increases the size of the programs to be generated. As a way of overcoming ...