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» On learning algorithm selection for classification
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CORR
2010
Springer
126views Education» more  CORR 2010»
14 years 10 months ago
Computerized adaptive testing: implementation issues
Abstract. One of the fastest evolving field among teaching and learning research is students' performance evaluation. Computer based testing systems are increasingly adopted b...
Margit Antal, Levente Erös, Attila Imre
135
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KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 1 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu
128
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GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
15 years 7 months ago
Estimation of fitness landscape contours in EAs
Evolutionary algorithms applied in real domain should profit from information about the local fitness function curvature. This paper presents an initial study of an evolutionary...
Petr Posík, Vojtech Franc
ISCAS
2006
IEEE
103views Hardware» more  ISCAS 2006»
15 years 7 months ago
Towards autonomous adaptive behavior in a bio-inspired CNN-controlled robot
— This paper describes a general approach for the unsupervised learning of behaviors in a behavior-based robot. The key idea is to formalize a behavior produced by a Motor Map dr...
Paolo Arena, Luigi Fortuna, Mattia Frasca, Luca Pa...
112
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KBS
2006
150views more  KBS 2006»
15 years 1 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang