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» Feature Subset Selection Using a Genetic Algorithm
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IJCNN
2008
IEEE
15 years 9 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
121
Voted
IE
2007
15 years 4 months ago
Implementation and evaluation of a background music reactive game
This paper discusses further work on the authors’ “background music reactive games” concept, where background music is used to modify video game parameters and thus actions ...
Khalid Aallouche, Homam Albeiriss, Redouane Zargho...
162
Voted
ECCV
2010
Springer
15 years 7 months ago
Robust Multi-View Boosting with Priors
Many learning tasks for computer vision problems can be described by multiple views or multiple features. These views can be exploited in order to learn from unlabeled data, a.k.a....
129
Voted
SDM
2008
SIAM
165views Data Mining» more  SDM 2008»
15 years 3 months ago
On the Dangers of Cross-Validation. An Experimental Evaluation
Cross validation allows models to be tested using the full training set by means of repeated resampling; thus, maximizing the total number of points used for testing and potential...
R. Bharat Rao, Glenn Fung
IM
2003
15 years 3 months ago
Generic On-Line Discovery of Quantitative Models for Service Level Management
: Quantitative models are needed for a variety of management tasks, including (a) identification of critical variables to use for health monitoring, (b) anticipating service level...
Yixin Diao, Frank Eskesen, Steve Froehlich, Joseph...