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MLDM
2005
Springer
16 years 9 days ago
Clustering Large Dynamic Datasets Using Exemplar Points
In this paper we present a method to cluster large datasets that change over time using incremental learning techniques. The approach is based on the dynamic representation of clus...
William Sia, Mihai M. Lazarescu
PAKDD
2005
ACM
134views Data Mining» more  PAKDD 2005»
16 years 9 days ago
Improved Bayesian Spam Filtering Based on Co-weighted Multi-area Information
Abstract. Bayesian spam filters, in general, compute probability estimations for tokens either without considering the email areas of occurrences except the body or treating the s...
Raju Shrestha, Yaping Lin
VISUAL
2005
Springer
16 years 9 days ago
Face Recognition Using Modular Bilinear Discriminant Analysis
We present a Modular Bilinear Disciminant Analysis (MBDA) approach for face recognition. A set of classifiers are trained independently on specific face regions, and different c...
Muriel Visani, Christophe Garcia, Jean-Michel Joli...
WILF
2005
Springer
194views Fuzzy Logic» more  WILF 2005»
16 years 9 days ago
Learning Bayesian Classifiers from Gene-Expression MicroArray Data
Computing methods that allow the efficient and accurate processing of experimentally gathered data play a crucial role in biological research. The aim of this paper is to present a...
Andrea Bosin, Nicoletta Dessì, Diego Libera...
AI
2004
Springer
16 years 6 days ago
A Hybrid Schema for Systematic Local Search
Abstract. We present a new hybrid constraint solving schema which retains some systematicity of constructive search while incorporating the heuristic guidance and lack of commitmen...
William S. Havens, Bistra N. Dilkina