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» Evolving by Maximizing the Number of Rules: Complexity Study
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BMCBI
2006
94views more  BMCBI 2006»
14 years 9 months ago
Noise-injected neural networks show promise for use on small-sample expression data
Background: Overfitting the data is a salient issue for classifier design in small-sample settings. This is why selecting a classifier from a constrained family of classifiers, on...
Jianping Hua, James Lowey, Zixiang Xiong, Edward R...
CBMS
2004
IEEE
15 years 1 months ago
Toward a Systems Biology Software Toolkit
Insight to complex problems may be revealed when domain data sets are viewed or structured in new and innovative ways. Systems approaches to biomedical problems fundamentally invo...
Donald J. Johann, Michael D. McGuigan, Stanimire T...
CORR
2007
Springer
141views Education» more  CORR 2007»
14 years 9 months ago
Managing Uncertainty: A Case for Probabilistic Grid Scheduling
The Grid technology is evolving into a global, service-orientated architecture – a universal platform for delivering future high demand computational services. Strong adoption of...
Aleksandar Lazarevic, Lionel Sacks, Ognjen Prnjat
JMLR
2010
145views more  JMLR 2010»
14 years 4 months ago
Kernel Partial Least Squares is Universally Consistent
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Gilles Blanchard, Nicole Krämer
CORR
2007
Springer
143views Education» more  CORR 2007»
14 years 9 months ago
On Myopic Sensing for Multi-Channel Opportunistic Access
We consider a multi-channel opportunistic communication system where the states of these channels evolve as independent and statistically identical Markov chains (the Gilbert-Elli...
Qing Zhao, Bhaskar Krishnamachari, Keqin Liu