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» Measuring the Complexity of Classification Problems
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ATAL
2006
Springer
13 years 11 months ago
Junta distributions and the average-case complexity of manipulating elections
Encouraging voters to truthfully reveal their preferences in an election has long been an important issue. Previous studies have shown that some voting protocols are hard to manip...
Ariel D. Procaccia, Jeffrey S. Rosenschein
JMLR
2010
182views more  JMLR 2010»
13 years 2 months ago
Quadratic Programming Feature Selection
Identifying a subset of features that preserves classification accuracy is a problem of growing importance, because of the increasing size and dimensionality of real-world data se...
Irene Rodriguez-Lujan, Ramón Huerta, Charle...
DATE
2008
IEEE
128views Hardware» more  DATE 2008»
14 years 2 months ago
Robust and Low Complexity Rate Control for Solar Powered Sensors
This paper is concerned with solar driven sensors deployed in an outdoor environment. We present feedback controllers which adapt parameters of the application such that a maximal...
Clemens Moser, Lothar Thiele, Davide Brunelli, Luc...
GECCO
2009
Springer
190views Optimization» more  GECCO 2009»
13 years 11 months ago
Genetic programming for protein related text classification
Since the genomics revolution, bioinformatics has never been so popular. Many researchers have investigated with great success the use of evolutionary computation in bioinformatic...
Marc Segond, Cyril Fonlupt, Denis Robilliard
JIIS
2006
73views more  JIIS 2006»
13 years 7 months ago
Using KCCA for Japanese-English cross-language information retrieval and document classification
Kernel Canonical Correlation Analysis (KCCA) is a method of correlating linear relationship between two variables in a kernel defined feature space. A machine learning algorithm b...
Yaoyong Li, John Shawe-Taylor