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GECCO
2006
Springer
138views Optimization» more  GECCO 2006»
15 years 1 months ago
Does overfitting affect performance in estimation of distribution algorithms
Estimation of Distribution Algorithms (EDAs) are a class of evolutionary algorithms that use machine learning techniques to solve optimization problems. Machine learning is used t...
Hao Wu, Jonathan L. Shapiro
ADHOCNOW
2008
Springer
14 years 11 months ago
Communication in Random Geometric Radio Networks with Positively Correlated Random Faults
Abstract. We study the feasibility and time of communication in random geometric radio networks, where nodes fail randomly with positive correlation. We consider a set of radio sta...
Evangelos Kranakis, Michel Paquette, Andrzej Pelc
FOCS
2007
IEEE
15 years 4 months ago
A Primal-Dual Randomized Algorithm for Weighted Paging
In the weighted paging problem there is a weight (cost) for fetching each page into the cache. We design a randomized O(log k)-competitive online algorithm for the weighted paging...
Nikhil Bansal, Niv Buchbinder, Joseph Naor
KDD
2003
ACM
127views Data Mining» more  KDD 2003»
15 years 10 months ago
Experiments with random projections for machine learning
Dimensionality reduction via Random Projections has attracted considerable attention in recent years. The approach has interesting theoretical underpinnings and offers computation...
Dmitriy Fradkin, David Madigan
APPROX
2005
Springer
80views Algorithms» more  APPROX 2005»
15 years 3 months ago
On Learning Random DNF Formulas Under the Uniform Distribution
Abstract: We study the average-case learnability of DNF formulas in the model of learning from uniformly distributed random examples. We define a natural model of random monotone ...
Jeffrey C. Jackson, Rocco A. Servedio