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» Performance data collection using a hybrid approach
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SIGIR
2005
ACM
15 years 7 months ago
Automatic web query classification using labeled and unlabeled training data
Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization be...
Steven M. Beitzel, Eric C. Jensen, Ophir Frieder, ...
BIBE
2007
IEEE
148views Bioinformatics» more  BIBE 2007»
15 years 7 months ago
A New Smoothing Model for Analyzing Array CGH Data
—Array based Comparative Genomic Hybridization (CGH) is a molecular cytogenetic method for the detection of chromosomal imbalances and it has been extensively used for studying c...
Nha Nguyen, Heng Huang, Soontorn Oraintara, An P. ...
FSKD
2008
Springer
174views Fuzzy Logic» more  FSKD 2008»
15 years 2 months ago
A Hybrid Re-sampling Method for SVM Learning from Imbalanced Data Sets
Support Vector Machine (SVM) has been widely studied and shown success in many application fields. However, the performance of SVM drops significantly when it is applied to the pr...
Peng Li, Pei-Li Qiao, Yuan-Chao Liu
DAC
2006
ACM
16 years 2 months ago
Low-power bus encoding using an adaptive hybrid algorithm
In this paper, we propose an adaptive low-power bus encoding algorithm based on weighted code mapping (WCM) and the delayed bus technique. The WCM algorithm transforms an original...
Avnish R. Brahmbhatt, Jingyi Zhang, Qing Wu, Qinru...
KDD
2004
ACM
141views Data Mining» more  KDD 2004»
16 years 1 months ago
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...