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» Empirical comparisons of various voting methods in bagging
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INFOSCALE
2006
ACM
14 years 10 days ago
Analysis and comparison of P2P search methods
The popularity and bandwidth consumption attributed to current Peer-to-Peer file-sharing applications makes the operation of these distributed systems very important for the Inte...
Dimitrios Tsoumakos, Nick Roussopoulos
NLPRS
2001
Springer
13 years 10 months ago
Ensembling based on Feature Space Restructuring with Application to WSD
We propose a new ensembling method of Support Vector Machines (SVMs) based on Feature Space Restructuring. In the proposed method, the weighted majority voting method is applied f...
Hiroya Takamura, Hiroyasu Yamada, Taku Kudo, Kaoru...
ICDM
2003
IEEE
181views Data Mining» more  ICDM 2003»
13 years 11 months ago
Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift
Algorithms for tracking concept drift are important for many applications. We present a general method based on the Weighted Majority algorithm for using any online learner for co...
Jeremy Z. Kolter, Marcus A. Maloof
ISM
2006
IEEE
209views Multimedia» more  ISM 2006»
14 years 11 days ago
Holistic Comparison of Text Images for Content-Based Retrieval
The accurate recognition of text that appears in images/videos using analytical character recognition methods is often very difficult, despite the fact that the text might be corr...
Julinda Gllavata, Ermir Qeli, Bernd Freisleben
ICDM
2008
IEEE
115views Data Mining» more  ICDM 2008»
14 years 24 days ago
Toward Faster Nonnegative Matrix Factorization: A New Algorithm and Comparisons
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
Jingu Kim, Haesun Park