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» Using Anonymized Data for Classification
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TEI
2010
ACM
100views Hardware» more  TEI 2010»
13 years 9 months ago
Coming to grips with the objects we grasp: detecting interactions with efficient wrist-worn sensors
The use of a wrist-worn sensor that is able to read nearby RFID tags and the wearer's gestures has been suggested frequently as a way to both detect the objects we interact w...
Eugen Berlin, Jun Liu, Kristof Van Laerhoven, Bern...
CSL
2006
Springer
13 years 9 months ago
Product of Gaussians for speech recognition
Recently there has been interest in the use of classifiers based on the product of experts (PoE) framework. PoEs offer an alternative to the standard mixture of experts (MoE) fram...
M. J. F. Gales, S. S. Airey
JMLR
2008
114views more  JMLR 2008»
13 years 9 months ago
Coordinate Descent Method for Large-scale L2-loss Linear Support Vector Machines
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin
NECO
2006
157views more  NECO 2006»
13 years 9 months ago
Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
Durga L. Shrestha, Dimitri P. Solomatine
KBS
2008
98views more  KBS 2008»
13 years 8 months ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu