143 search results - page 17 / 29 » Generalization Error and Algorithmic Convergence of Median B... |
94
Voted
IDEAL
2000
Springer
15 years 3 months ago
2000
Springer
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
103
Voted
KDD
2009
ACM
15 years 4 months ago
2009
ACM
Learning from data streams is a research area of increasing importance. Nowadays, several stream learning algorithms have been developed. Most of them learn decision models that c...
PAMI
2002
14 years 11 months ago
2002
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
102
Voted
ICML
2007
IEEE
16 years 14 days ago
2007
IEEE
Reinforcement learning algorithms can become unstable when combined with linear function approximation. Algorithms that minimize the mean-square Bellman error are guaranteed to co...
WABI
2007
Springer
15 years 5 months ago
2007
Springer
When aligning biological sequences, the choice of parameter values for the alignment scoring function is critical. Small changes in gap penalties, for example, can yield radically ...