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» Feature Selection for Complex Patterns
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JMLR
2012
13 years 2 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
SAC
2006
ACM
15 years 5 months ago
The impact of sample reduction on PCA-based feature extraction for supervised learning
“The curse of dimensionality” is pertinent to many learning algorithms, and it denotes the drastic raise of computational complexity and classification error in high dimension...
Mykola Pechenizkiy, Seppo Puuronen, Alexey Tsymbal
DIS
2003
Springer
15 years 5 months ago
Prediction of Molecular Bioactivity for Drug Design Using a Decision Tree Algorithm
Abstract. A machine learning-based approach to the prediction of molecular bioactivity in new drugs is proposed. Two important aspects are considered for the task: feature subset s...
Sanghoon Lee, Jihoon Yang, Kyung-Whan Oh
FUIN
2006
160views more  FUIN 2006»
14 years 11 months ago
Behavioral Pattern Identification Through Rough Set Modeling
This paper introduces an approach to behavioral pattern identification as a part of a study of temporal patterns in complex dynamical systems. Rough set theory introduced by Zdzisl...
Jan G. Bazan
ISMIS
2005
Springer
15 years 5 months ago
Flexible Pattern Discovery with (Extended) Disjunctive Logic Programming
Abstract. The post-genomic era showed up a wide range of new challenging issues for the areas of knowledge discovery and intelligent information management. Among them, the discove...
Luigi Palopoli, Simona E. Rombo, Giorgio Terracina