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TKDE
2008
123views more  TKDE 2008»
13 years 7 months ago
Explaining Classifications For Individual Instances
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...
Marko Robnik-Sikonja, Igor Kononenko
FGR
2006
IEEE
108views Biometrics» more  FGR 2006»
13 years 11 months ago
Regression and Classification Approaches to Eye Localization in Face Images
We address the task of accurately localizing the eyes in face images extracted by a face detector, an important problem to be solved because of the negative effect of poor localiz...
Mark Everingham, Andrew Zisserman
ACL
2006
13 years 9 months ago
Semantic Parsing with Structured SVM Ensemble Classification Models
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
Minh Le Nguyen, Akira Shimazu, Xuan Hieu Phan
SIGMOD
2010
ACM
323views Database» more  SIGMOD 2010»
14 years 15 days ago
Boosting spatial pruning: on optimal pruning of MBRs
Fast query processing of complex objects, e.g. spatial or uncertain objects, depends on efficient spatial pruning of the objects’ approximations, which are typically minimum bou...
Tobias Emrich, Hans-Peter Kriegel, Peer Kröge...
CP
2006
Springer
13 years 11 months ago
Boosting Open CSPs
In previous work, a new approach called Open CSP (OCSP) was defined as a way of integrate information gathering and problem solving. Instead of collecting all variable values befor...
Santiago Macho González, Carlos Ansó...