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PR
2008
85views more  PR 2008»
13 years 8 months ago
Quadratic boosting
This paper presents a strategy to improve the AdaBoost algorithm with a quadratic combination of base classifiers. We observe that learning this combination is necessary to get be...
Thang V. Pham, Arnold W. M. Smeulders
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 2 months ago
Evolutionary selection of minimum number of features for classification of gene expression data using genetic algorithms
Selecting the most relevant factors from genetic profiles that can optimally characterize cellular states is of crucial importance in identifying complex disease genes and biomark...
Alper Küçükural, Reyyan Yeniterzi...
ICDCS
2000
IEEE
14 years 1 months ago
Static and Adaptive Data Replication Algorithms for Fast Information Access in Large Distributed Systems
Creating replicas of frequently accessed objects across a read-intensive network can result in large bandwidth savings which, in turn, can lead to reduction in user response time....
Thanasis Loukopoulos, Ishfaq Ahmad
CORR
2011
Springer
229views Education» more  CORR 2011»
13 years 3 months ago
"Improved FCM algorithm for Clustering on Web Usage Mining"
In this paper we present clustering method is very sensitive to the initial center values ,requirements on the data set too high, and cannot handle noisy data the proposal method ...
K. Suresh
JCP
2008
167views more  JCP 2008»
13 years 8 months ago
Accelerated Kernel CCA plus SVDD: A Three-stage Process for Improving Face Recognition
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
Ming Li, Yuanhong Hao