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MCS
2007
Springer
14 years 1 months ago
An Ensemble Approach for Incremental Learning in Nonstationary Environments
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
Michael Muhlbaier, Robi Polikar
BMCBI
2010
111views more  BMCBI 2010»
13 years 7 months ago
Dynamic probe selection for studying microbial transcriptome with high-density genomic tiling microarrays
Background: Current commercial high-density oligonucleotide microarrays can hold millions of probe spots on a single microscopic glass slide and are ideal for studying the transcr...
Hedda Høvik, Tsute Chen
ICSE
2001
IEEE-ACM
14 years 5 days ago
Dynamic and Selective Combination of Extensions in Component-Based Applications
Support for dynamic and client-specific customization is required in many application areas. We present a (distributed) application as consisting of a minimal functional core – ...
Eddy Truyen, Bart Vanhaute, Wouter Joosen, Pierre ...
ICPR
2006
IEEE
14 years 8 months ago
Adaptive Weighting of Local Classifiers by Particle Filter
This paper presents adaptive weighting method for combining local classifiers by particle filter. In recent years, the effectiveness of combination of local classifiers (features)...
Kazuhiro Hotta
NIPS
2001
13 years 9 months ago
Generating velocity tuning by asymmetric recurrent connections
Asymmetric lateral connections are one possible mechanism that can account for the direction selectivity of cortical neurons. We present a mathematical analysis for a class of the...
Xiaohui Xie, Martin A. Giese