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» Generating Cases from Labeled Subgoals
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IROS
2006
IEEE
119views Robotics» more  IROS 2006»
13 years 9 months ago
Learning Similar Tasks From Observation and Practice
— This paper presents a case study of learning to select behavioral primitives and generate subgoals from observation and practice. Our approach uses local features to generalize...
Darrin C. Bentivegna, Christopher G. Atkeson, Gord...
WSDM
2009
ACM
191views Data Mining» more  WSDM 2009»
13 years 10 months ago
Generating labels from clicks
The ranking function used by search engines to order results is learned from labeled training data. Each training point is a (query, URL) pair that is labeled by a human judge who...
Rakesh Agrawal, Alan Halverson, Krishnaram Kenthap...
NIPS
2008
13 years 5 months ago
Generative and Discriminative Learning with Unknown Labeling Bias
We apply robust Bayesian decision theory to improve both generative and discriminative learners under bias in class proportions in labeled training data, when the true class propo...
Miroslav Dudík, Steven J. Phillips
ICST
2010
IEEE
13 years 2 months ago
Generating Transition Probabilities for Automatic Model-Based Test Generation
—Markov chains with Labelled Transitions can be used to generate test cases in a model-based approach. These test cases are generated by random walks on the model according to pr...
Abderrahmane Feliachi, Hélène Le Gue...
GEOINFORMATICA
2002
136views more  GEOINFORMATICA 2002»
13 years 3 months ago
Tabu Search Heuristic for Point-Feature Cartographic Label Placement
The generation of better label placement configurations in maps is a problem that comes up in automated cartographic production. The objective of a good label placement is to displ...
Missae Yamamoto, Gilberto Câmara, Luiz Anton...