2597 search results - page 178 / 520 » Learning Sunspot Classification |
123
Voted
NIPS
2004
15 years 5 months ago
2004
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
126
Voted
TKDE
2008
15 years 3 months ago
2008
We present a method for explaining predictions for individual instances. The presented approach is general and can be used with all classification models that output probabilities...
117
Voted
MCS
2002
Springer
15 years 3 months ago
2002
Springer
Abstract. Boosting methods are known to improve generalization performances of learning algorithms reducing both bias and variance or enlarging the margin of the resulting multi-cl...
125
Voted
PRL
1998
15 years 3 months ago
1998
A novel connectionist method is proposed to simultaneously use diverse features in an optimal way for pattern classification. Unlike methods of combining multiple classifiers, a m...
134
Voted
ICML
2007
IEEE
16 years 4 months ago
2007
IEEE
We study the problem of learning kernel machines transductively for structured output variables. Transductive learning can be reduced to combinatorial optimization problems over a...