536 search results - page 24 / 108 » The Optimality of Naive Bayes |
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
IPMU
2010
Springer
13 years 5 months ago
2010
Springer
Abstract. The naive credal classifier (NCC) extends naive Bayes classifier (NBC) to imprecise probabilities to robustly deal with the specification of the prior; NCC models a state...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
JMLR
2010
13 years 2 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collecti...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
In this paper, the inherent drawbacks of the naive lattice decoding for MIMO fading systems is investigated. We show that using the naive lattice decoding for MIMO systems has con...