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KDD
2009
ACM
204views Data Mining» more  KDD 2009»
16 years 2 months ago
Improving classification accuracy using automatically extracted training data
Classification is a core task in knowledge discovery and data mining, and there has been substantial research effort in developing sophisticated classification models. In a parall...
Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, R...
BMCBI
2008
113views more  BMCBI 2008»
15 years 2 months ago
A novel application of quantile regression for identification of biomarkers exemplified by equine cartilage microarray data
Background: Identification of biomarkers among thousands of genes arrayed for disease classification has been the subject of considerable research in recent years. These studies h...
Liping Huang, Wenying Zhu, Christopher P. Saunders...
ACII
2005
Springer
15 years 7 months ago
Gesture-Based Affective Computing on Motion Capture Data
Abstract. This paper presents research using full body skeletal movements captured using video-based sensor technology developed by Vicon Motion Systems, to train a machine to iden...
Asha Kapur, Ajay Kapur, Naznin Virji-Babul, George...
FSKD
2006
Springer
124views Fuzzy Logic» more  FSKD 2006»
15 years 5 months ago
An Effective Combination of Multiple Classifiers for Toxicity Prediction
This paper presents an investigation into the combination of different classifiers for toxicity prediction. These classification methods involved in generating classifiers for comb...
Gongde Guo, Daniel Neagu, Xuming Huang, Yaxin Bi
CIKM
2008
Springer
15 years 3 months ago
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
We introduce a multi-stage ensemble framework, ErrorDriven Generalist+Expert or Edge, for improved classification on large-scale text categorization problems. Edge first trains a ...
Jian Huang 0002, Omid Madani, C. Lee Giles