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» Building Classifiers with Independency Constraints
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BMCBI
2006
129views more  BMCBI 2006»
13 years 7 months ago
Independent Component Analysis-motivated Approach to Classificatory Decomposition of Cortical Evoked Potentials
Background: Independent Component Analysis (ICA) proves to be useful in the analysis of neural activity, as it allows for identification of distinct sources of activity. Applied t...
Tomasz G. Smolinski, Roger Buchanan, Grzegorz M. B...
KDD
1998
ACM
170views Data Mining» more  KDD 1998»
13 years 11 months ago
Mining Audit Data to Build Intrusion Detection Models
In this paper we discuss a data mining framework for constructing intrusion detection models. The key ideas are to mine system audit data for consistent and useful patterns of pro...
Wenke Lee, Salvatore J. Stolfo, Kui W. Mok
HICSS
2006
IEEE
139views Biometrics» more  HICSS 2006»
14 years 1 months ago
Tools for Building Intelligent Tutoring Systems
Intelligent Tutoring Systems (ITSs) have proved useful in a variety of domains, but are notoriously resource intensive to build. We have created two programs (“tutor generatorsâ...
Viswanathan Kodaganallur, Rob R. Weitz, David Rose...
ICCV
2003
IEEE
14 years 9 months ago
Constraining Human Body Tracking
Our paper addresses the problem of enforcing constraints in human body tracking. A projection technique is derived to impose kinematic constraints on independent multi-body motion...
David Demirdjian, Teresa Ko, Trevor Darrell
ML
2000
ACM
154views Machine Learning» more  ML 2000»
13 years 7 months ago
Lazy Learning of Bayesian Rules
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Zijian Zheng, Geoffrey I. Webb