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SAC
2006
ACM
15 years 7 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
BMCBI
2010
140views more  BMCBI 2010»
14 years 11 months ago
An improved machine learning protocol for the identification of correct Sequest search results
Background: Mass spectrometry has become a standard method by which the proteomic profile of cell or tissue samples is characterized. To fully take advantage of tandem mass spectr...
Morten Kallberg, Hui Lu
ICML
2005
IEEE
16 years 2 months ago
Augmenting naive Bayes for ranking
Naive Bayes is an effective and efficient learning algorithm in classification. In many applications, however, an accurate ranking of instances based on the class probability is m...
Harry Zhang, Liangxiao Jiang, Jiang Su
FSKD
2007
Springer
98views Fuzzy Logic» more  FSKD 2007»
15 years 8 months ago
Learning Selective Averaged One-Dependence Estimators for Probability Estimation
Naïve Bayes is a well-known effective and efficient classification algorithm, but its probability estimation performance is poor. Averaged One-Dependence Estimators, simply AODE,...
Qing Wang, Chuan-hua Zhou, Jiankui Guo
CSCW
2010
ACM
15 years 10 months ago
What's it worth to you?: the costs and affordances of CMC tools to asian and american users
In recent years, a growing number of studies examining how culture shapes computer-mediated communication (CMC) have appeared in the CHI and CSCW literature. Findings from these s...
Leslie D. Setlock, Susan R. Fussell