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DMIN
2007
186views Data Mining» more  DMIN 2007»
15 years 5 months ago
Cost-Sensitive Learning vs. Sampling: Which is Best for Handling Unbalanced Classes with Unequal Error Costs?
- The classifier built from a data set with a highly skewed class distribution generally predicts the more frequently occurring classes much more often than the infrequently occurr...
Gary M. Weiss, Kate McCarthy, Bibi Zabar
126
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LREC
2010
166views Education» more  LREC 2010»
15 years 5 months ago
Corpora for Automatically Learning to Map Natural Language Questions into SQL Queries
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Alessandra Giordani, Alessandro Moschitti
ICONIP
2007
15 years 5 months ago
Policy Learning for Motor Skills
Policy learning which allows autonomous robots to adapt to novel situations has been a long standing vision of robotics, artificial intelligence, and cognitive sciences. However, ...
Jan Peters, Stefan Schaal
IJCAI
2007
15 years 5 months ago
Locality Sensitive Discriminant Analysis
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
Deng Cai, Xiaofei He, Kun Zhou, Jiawei Han, Hujun ...
IWRT
2007
167views Communications» more  IWRT 2007»
15 years 5 months ago
The Practicality of Multi-Tag RFID Systems
Radio Frequency Identification (RFID) is an increasingly popular technology that uses radio signals for object identification. Successful object identification is the primary o...
Leonid Bolotnyy, Scott Krize, Gabriel Robins