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GECCO
2006
Springer
162views Optimization» more  GECCO 2006»
13 years 12 months ago
Evolutionary learning with kernels: a generic solution for large margin problems
In this paper we embed evolutionary computation into statistical learning theory. First, we outline the connection between large margin optimization and statistical learning and s...
Ingo Mierswa
ICDM
2010
IEEE
226views Data Mining» more  ICDM 2010»
13 years 6 months ago
Edge Weight Regularization over Multiple Graphs for Similarity Learning
The growth of the web has directly influenced the increase in the availability of relational data. One of the key problems in mining such data is computing the similarity between o...
Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu ...
INFOCOM
2010
IEEE
13 years 6 months ago
An Axiomatic Theory of Fairness in Network Resource Allocation
We present a set of five axioms for fairness measures in resource allocation. A family of fairness measures satisfying the axioms is constructed. Well-known notions such as -fairne...
Tian Lan, David Kao, Mung Chiang, Ashutosh Sabharw...
CGF
2006
191views more  CGF 2006»
13 years 8 months ago
A Robust Two-Step Procedure for Quad-Dominant Remeshing
We propose a new technique for quad-dominant remeshing which separates the local regularity requirements from the global alignment requirements by working in two steps. In the fir...
Martin Marinov, Leif Kobbelt
BMCBI
2006
126views more  BMCBI 2006»
13 years 8 months ago
Differential prioritization between relevance and redundancy in correlation-based feature selection techniques for multiclass ge
Background: Due to the large number of genes in a typical microarray dataset, feature selection looks set to play an important role in reducing noise and computational cost in gen...
Chia Huey Ooi, Madhu Chetty, Shyh Wei Teng