4930 search results - page 40 / 986 » Learning minimal abstractions |
139
Voted
EC
2011
14 years 4 months ago
2011
man and Kenneth O. Stanley (2010). Revising the Evolutionary Computation Abstraction: Minimal Criteria Novelty Search. In: Proceedings of the Genetic and Evolutionary Computation C...
97
Voted
NAACL
2010
14 years 10 months ago
2010
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
114
click to vote
ML
2010
ACM
14 years 7 months ago
2010
ACM
Traditional classification methods assume that the training and the test data arise from the same underlying distribution. However, in several adversarial settings, the test set is...
125
click to vote
ICASSP
2011
IEEE
14 years 4 months ago
2011
IEEE
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
CAV
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. A temporal interface for a software component is a finite automaton that specifies the legal sequences of calls to functions that are provided by the component. We comp...