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» Selection of Classifiers Based on Multiple Classifier Behavi...
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145
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BMCBI
2007
112views more  BMCBI 2007»
15 years 2 months ago
Selecting dissimilar genes for multi-class classification, an application in cancer subtyping
Background: Gene expression microarray is a powerful technology for genetic profiling diseases and their associated treatments. Such a process involves a key step of biomarker ide...
Zhipeng Cai, Randy Goebel, Mohammad R. Salavatipou...
104
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GECCO
2006
Springer
153views Optimization» more  GECCO 2006»
15 years 6 months ago
Analysis of the difficulty of learning goal-scoring behaviour for robot soccer
Learning goal-scoring behaviour from scratch for simulated robot soccer is considered to be a very difficult problem, and is often achieved by endowing players with an innate set ...
Jeff Riley, Victor Ciesielski
110
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SAINT
2006
IEEE
15 years 8 months ago
Making Practical Use of IPv6 Anycasting: Mobile IPv6 Based approach
Anycast is a new IPv6 function in which an anycast address can be assigned to multiple nodes that provide the same service. The Anycast packet is transmitted to one appropriate no...
Masakazu Hashimoto, Shingo Ata, Hiroshi Kitamura, ...
149
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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
15 years 6 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
124
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ICPPW
2007
IEEE
15 years 9 months ago
A Quality-Driven Algorithm for Resource Scheduling Based on Market Model on Grid
Several challenges about computational grid exist in integrating, coordinating and managing of resources and scheduling of applications, due to distributed resources at various le...
Lei Tang, Zhiyi Yang, Zhiwen Yu, Yunlan Wang