1172 search results - page 29 / 235 » From Data Distributions to Regularization in Invariant Learn... |
FGR
2008
IEEE
14 years 5 months ago
2008
IEEE
The variation caused by aging has not received adequate attention compared with pose, lighting, and expression variations. Aging is a complex process that affects both the 3D shap...
ICML
2006
IEEE
14 years 11 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
KDD
2008
ACM
14 years 11 months ago
2008
ACM
The input to an algorithm that learns a binary classifier normally consists of two sets of examples, where one set consists of positive examples of the concept to be learned, and ...
ICDCS
2002
IEEE
14 years 3 months ago
2002
IEEE
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
FASE
2008
Springer
14 years 12 days ago
2008
Springer
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...