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142
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IBPRIA
2005
Springer
15 years 10 months ago
Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning
A natural way to deal with training samples in imbalanced class problems is to prune them removing redundant patterns, easy to classify and probably over represented, and label noi...
Iván Cantador, José R. Dorronsoro
130
Voted
MM
2004
ACM
122views Multimedia» more  MM 2004»
15 years 10 months ago
Context for semantic metadata
This article argues for the growing importance of quality metadata and the equation of that quality with precision and semantic grounding. Such semantic grounding requires metadat...
Kenneth B. Haase
155
Voted
SC
2004
ACM
15 years 10 months ago
Rating Compiler Optimizations for Automatic Performance Tuning
To achieve maximum performance gains through compiler optimization, most automatic performance tuning systems use a feed-back directed approach to rate the code versions generated...
Zhelong Pan, Rudolf Eigenmann
SIGIR
2004
ACM
15 years 10 months ago
Learning to cluster web search results
Organizing Web search results into clusters facilitates users' quick browsing through search results. Traditional clustering techniques are inadequate since they don't g...
Hua-Jun Zeng, Qi-Cai He, Zheng Chen, Wei-Ying Ma, ...
EUROGP
2004
Springer
133views Optimization» more  EUROGP 2004»
15 years 10 months ago
Lymphoma Cancer Classification Using Genetic Programming with SNR Features
Lymphoma cancer classification with DNA microarray data is one of important problems in bioinformatics. Many machine learning techniques have been applied to the problem and produc...
Jin-Hyuk Hong, Sung-Bae Cho
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