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JMLR
2006
123views more  JMLR 2006»
13 years 10 months ago
Adaptive Prototype Learning Algorithms: Theoretical and Experimental Studies
In this paper, we propose a number of adaptive prototype learning (APL) algorithms. They employ the same algorithmic scheme to determine the number and location of prototypes, but...
Fu Chang, Chin-Chin Lin, Chi-Jen Lu
TKDE
2008
175views more  TKDE 2008»
13 years 9 months ago
Efficient Phrase-Based Document Similarity for Clustering
Phrase has been considered as a more informative feature term for improving the effectiveness of document clustering. In this paper, we propose a phrase-based document similarity t...
Hung Chim, Xiaotie Deng
TSP
2008
121views more  TSP 2008»
13 years 9 months ago
Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input s...
Neil J. Bershad, José Carlos M. Bermudez, J...
TWC
2008
109views more  TWC 2008»
13 years 9 months ago
Semi-Blind Adaptive Spatial Equalization for MIMO Systems with High-Order QAM Signalling
This contribution investigates semi-blind adaptive spatial filtering or equalisation for multiple-input multiple-output (MIMO) systems that employ high-throughput quadrature amplit...
Sheng Chen, Wang Yao, Lajos Hanzo
MCS
2007
Springer
13 years 9 months ago
Exploiting Diversity in Ensembles: Improving the Performance on Unbalanced Datasets
Abstract. Ensembles are often capable of greater predictive performance than any of their individual classifiers. Despite the need for classifiers to make different kinds of err...
Nitesh V. Chawla, Jared Sylvester