34 search results - page 4 / 7 » ML-KNN: A lazy learning approach to multi-label learning |
ML
2000
ACM
13 years 7 months ago
2000
ACM
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
TKDE
2010
13 years 6 months ago
2010
—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
CAV
2010
Springer
13 years 10 months ago
2010
Springer
Abstract. We describe an interpolant-based approach to test generation and model checking for sequential programs. The method generates Floyd/Hoare style annotations of the program...
AIR
2005
13 years 7 months ago
2005
Because of the changing nature of spam, a spam filtering system that uses machine learning will need to be dynamic. This suggests that a case-based (memory-based) approach may work...
DAC
2006
ACM
14 years 8 months ago
2006
ACM
Design and verification of systems at the Register-Transfer (RT) or behavioral level require the ability to reason at higher levels of abstraction. Difference logic consists of an...