599 search results - page 58 / 120 » An Algorithm for Learning Abductive Rules |
118
Voted
ESANN
2000
15 years 1 months ago
2000
Abstract. For a network of spiking neurons with reasonable postsynaptic potentials, we derive a supervised learning rule akin to traditional error-back-propagation, SpikeProp and s...
94
Voted
ICML
2010
IEEE
15 years 1 months ago
2010
IEEE
A new procedure for learning cost-sensitive SVM classifiers is proposed. The SVM hinge loss is extended to the cost sensitive setting, and the cost-sensitive SVM is derived as the...
160
Voted
VL
2010
IEEE
14 years 11 months ago
2010
IEEE
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a “prog...
97
Voted
ESANN
2008
15 years 2 months ago
2008
Abstract. We consider the problem of learning an unknown (overcomplete) basis from an unknown sparse linear combination. Introducing the "sparse coding neural gas" algori...
100
Voted
ISCI
2008
15 years 17 days ago
2008
Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the ...