224 search results - page 29 / 45 » Bounding Learning Time in XCS |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
The multiple-instance learning (MIL) model has been very successful in application areas such as drug discovery and content-based imageretrieval. Recently, a generalization of thi...
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
LAMAS
2005
Springer
14 years 1 months ago
2005
Springer
We present a new multiagent learning algorithm, RVσ(t), that builds on an earlier version, ReDVaLeR . ReDVaLeR could guarantee (a) convergence to best response against stationary ...
NN
1997
Springer
14 years 18 days ago
1997
Springer
Bayesian networks are directed acyclic graphs that represent dependencies between variables in a probabilistic model. Many time series models, including the hidden Markov models (H...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...