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» Is Combining Classifiers Better than Selecting the Best One
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ECAL
2007
Springer
15 years 3 months ago
A Multi-level Selection Model for the Emergence of Social Norms
We develop a multi-level selection model in the framework of indirect reciprocity. Using two levels of selection, one at the individual level and another at the group level, we pro...
Francisco C. Santos, Fabio A. C. C. Chalub, Jorge ...
ISICA
2007
Springer
15 years 3 months ago
A Fast Particle Swarm Optimization Algorithm with Cauchy Mutation and Natural Selection Strategy
The standard Particle Swarm Optimization (PSO) algorithm is a novel evolutionary algorithm in which each particle studies its own previous best solution and the group’s previous ...
Changhe Li, Yong Liu, Aimin Zhou, Lishan Kang, Hui...
BMCBI
2004
206views more  BMCBI 2004»
14 years 9 months ago
Combining gene expression data from different generations of oligonucleotide arrays
Background: One of the important challenges in microarray analysis is to take full advantage of previously accumulated data, both from one's own laboratory and from public re...
Kyu Baek Hwang, Sek Won Kong, Steven A. Greenberg,...
GCC
2003
Springer
15 years 2 months ago
A Load Balancing Algorithm for Web Based Server Grids
Load balance is a critical issue in distributed systems, such as server grids. In this paper, we propose a Balanced Load Queue (BLQ) model, which combines the queuing theory and hy...
Shui Yu, John Casey, Wanlei Zhou
BMVC
2010
14 years 7 months ago
A general boosting-based framework for active object recognition
We propose a novel general framework with a boosting algorithm to achieve active object classification by view selection. The proposed framework actively decides the next best vie...
Zhaoyin Jia, Yao-Jen Chang, Tsuhan Chen