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SODA
2012
ACM
223views Algorithms» more  SODA 2012»
13 years 2 days ago
Data reduction for weighted and outlier-resistant clustering
Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...
Dan Feldman, Leonard J. Schulman
MLDM
2005
Springer
15 years 3 months ago
Using Clustering to Learn Distance Functions for Supervised Similarity Assessment
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
Christoph F. Eick, Alain Rouhana, Abraham Bagherje...
COLT
2001
Springer
15 years 2 months ago
On Using Extended Statistical Queries to Avoid Membership Queries
The Kushilevitz-Mansour (KM) algorithm is an algorithm that finds all the “large” Fourier coefficients of a Boolean function. It is the main tool for learning decision trees ...
Nader H. Bshouty, Vitaly Feldman
BMCBI
2007
114views more  BMCBI 2007»
14 years 9 months ago
False occurrences of functional motifs in protein sequences highlight evolutionary constraints
Background: False occurrences of functional motifs in protein sequences can be considered as random events due solely to the sequence composition of a proteome. Here we use a nume...
Allegra Via, Pier Federico Gherardini, Enrico Ferr...
ICANN
2010
Springer
14 years 9 months ago
Solving Independent Component Analysis Contrast Functions with Particle Swarm Optimization
Independent Component Analysis (ICA) is a statistical computation method that transforms a random vector in another one whose components are independent. Because the marginal distr...
Jorge Igual, Jehad I. Ababneh, Raul Llinares, Juli...