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GECCO
2008
Springer
232views Optimization» more  GECCO 2008»
15 years 8 months ago
An efficient SVM-GA feature selection model for large healthcare databases
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
Rick Chow, Wei Zhong, Michael Blackmon, Richard St...
SIGMOD
2001
ACM
200views Database» more  SIGMOD 2001»
16 years 7 months ago
Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering
In this paper, we investigate how to scale hierarchical clustering methods (such as OPTICS) to extremely large databases by utilizing data compression methods (such as BIRCH or ra...
Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&oum...
CIKM
2008
Springer
15 years 9 months ago
A consensus based approach to constrained clustering of software requirements
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher
ENTCS
2008
95views more  ENTCS 2008»
15 years 7 months ago
A Formal Framework for Interactive Agents
This paper proposes a formal framework and architecture for specification and analysis of interactive agents. The framework can be used to explore the design space, study features...
Carolyn L. Talcott
SIGGRAPH
1995
ACM
15 years 10 months ago
Feature-based control of visibility error: a multi-resolution clustering algorithm for global illumination
In this paper we introduce a new approach to controlling error in hierarchical clustering algorithms for radiosity. The new method ensures that just enough work is done to meet th...
François X. Sillion, George Drettakis