58 search results - page 7 / 12 » Eliminating redundancy and irrelevance using a new MLP-based... |
ESWA
2008
13 years 6 months ago
2008
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
NIPS
2007
13 years 9 months ago
2007
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
KAIS
2008
13 years 7 months ago
2008
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
ACSC
2004
IEEE
13 years 11 months ago
2004
IEEE
Types are fundamental for enforcing levels of abstraction in modern high-level programming languages and their lower-level representations. However, some type-related features suc...
AUSDM
2006
Springer
13 years 11 months ago
2006
Springer
The purpose of this study is to demonstrate the benefit of using common data mining techniques on survey data where statistical analysis is routinely applied. The statistical surv...