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AI
2004
Springer
14 years 11 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
CMOT
2002
112views more  CMOT 2002»
14 years 11 months ago
Finding Optimal Targets for Change Agents: A Computer Simulation of Innovation Diffusion
We introduce a diffusion of innovation model based on a network threshold approach. Realistic network and threshold data were gathered regarding the diffusion of new software tool...
Dirk Maienhofer, Thomas A. Finholt
JAR
2000
129views more  JAR 2000»
14 years 11 months ago
Heavy-Tailed Phenomena in Satisfiability and Constraint Satisfaction Problems
We study the runtime distributions of backtrack procedures for propositional satisfiability and constraint satisfaction. Such procedures often exhibit a large variability in perfor...
Carla P. Gomes, Bart Selman, Nuno Crato, Henry A. ...
NECO
1998
100views more  NECO 1998»
14 years 11 months ago
Memory Maintenance via Neuronal Regulation
Since their conception half a century ago Hebbian cell assemblies have become a basic term in the Neurosciences, and the idea that learning takes place through synaptic modi catio...
David Horn, Nir Levy, Eytan Ruppin
CORR
2011
Springer
186views Education» more  CORR 2011»
14 years 6 months ago
Similarity Join Size Estimation using Locality Sensitive Hashing
Similarity joins are important operations with a broad range of applications. In this paper, we study the problem of vector similarity join size estimation (VSJ). It is a generali...
Hongrae Lee, Raymond T. Ng, Kyuseok Shim