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» Informative sampling for large unbalanced data sets
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143
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SSPR
2000
Springer
15 years 7 months ago
The Role of Combining Rules in Bagging and Boosting
To improve weak classifiers bagging and boosting could be used. These techniques are based on combining classifiers. Usually, a simple majority vote or a weighted majority vote are...
Marina Skurichina, Robert P. W. Duin
144
Voted
CORR
2004
Springer
133views Education» more  CORR 2004»
15 years 3 months ago
Information theory, multivariate dependence, and genetic network inference
We define the concept of dependence among multiple variables using maximum entropy techniques and introduce a graphical notation to denote the dependencies. Direct inference of in...
Ilya Nemenman
130
Voted
SCFBM
2008
91views more  SCFBM 2008»
15 years 2 months ago
Simple tools for assembling and searching high-density picolitre pyrophosphate sequence data
Background: The advent of pyrophosphate sequencing makes large volumes of sequencing data available at a lower cost than previously possible. However, the short read lengths are d...
Nicolas J. Parker, Andrew G. Parker
AVI
2000
15 years 4 months ago
A Web-Based Approach to Interactive Visualization in Context
This paper proposes a framework for easily integrating and controlling information visualization (infoVis) components within web pages to create powerful interactive "live&qu...
Audris Mockus, Stacie Hibino, Todd L. Graves
163
Voted
ASIAN
2004
Springer
180views Algorithms» more  ASIAN 2004»
15 years 9 months ago
Counting by Coin Tossings
Abstract. This text is an informal review of several randomized algorithms that have appeared over the past two decades and have proved instrumental in extracting efficiently quant...
Philippe Flajolet