278 search results - page 36 / 56 » Strong Separation of Learning Classes |
76
Voted
FLAIRS
2004
14 years 11 months ago
2004
Naive Bayes is one of the most efficient and effective inductive learning algorithms for machine learning and data mining. Its competitive performance in classification is surpris...
ICPR
2010
IEEE
14 years 7 months ago
2010
IEEE
In this paper we redefine and generalize the classic k-nearest neighbors (k-NN) voting rule in a Bayesian maximum-a-posteriori (MAP) framework. Therefore, annotated examples are u...
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
ECCC
2010
14 years 9 months ago
2010
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
ICB
2007
Springer
15 years 1 months ago
2007
Springer
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH featu...