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140
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BMCBI
2005
122views more  BMCBI 2005»
15 years 3 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
ICONIP
2007
15 years 5 months ago
Using Image Stimuli to Drive fMRI Analysis
We introduce a new unsupervised fMRI analysis method based on Kernel Canonical Correlation Analysis which differs from the class of supervised learning methods that are increasing...
David R. Hardoon, Janaina Mourão Miranda, M...
105
Voted
NIPS
2000
15 years 5 months ago
An Information Maximization Approach to Overcomplete and Recurrent Representations
The principle of maximizing mutual information is applied to learning overcomplete and recurrent representations. The underlying model consists of a network of input units driving...
Oren Shriki, Haim Sompolinsky, Daniel D. Lee
144
Voted
DAGSTUHL
2006
15 years 5 months ago
On Complexity of Optimized Crossover for Binary Representations
We consider the computational complexity of producing the best possible offspring in a crossover, given two solutions of the parents. The crossover operators are studied on the cla...
Anton V. Eremeev
129
Voted
SIGECOM
2009
ACM
108views ECommerce» more  SIGECOM 2009»
15 years 10 months ago
Selling ad campaigns: online algorithms with cancellations
We study online pricing problems in markets with cancellations, i.e., markets in which prior allocation decisions can be revoked, but at a cost. In our model, a seller receives re...
Moshe Babaioff, Jason D. Hartline, Robert D. Klein...