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JCIT
2010
148views more  JCIT 2010»
13 years 1 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
GECCO
2009
Springer
188views Optimization» more  GECCO 2009»
13 years 11 months ago
Exploiting multiple classifier types with active learning
Many approaches to active learning involve training one classifier by periodically choosing new data points about which the classifier has the least confidence, but designing a co...
Zhenyu Lu, Josh Bongard
MEDINFO
2007
129views Healthcare» more  MEDINFO 2007»
13 years 8 months ago
Confidentiality Preserving Audits of Electronic Medical Record Access
Failure to supply a care provider with timely access to a patient's medical record can lead to patient harm or death. As such, healthcare organizations often endow care provi...
Bradley Malin, Edoardo Airoldi
ICMCS
2009
IEEE
153views Multimedia» more  ICMCS 2009»
13 years 4 months ago
Audio-visual privacy protection for video conference
Group video-conferencing systems are routinely used in major corporations, hospitals and universities for meetings, tele-medicine and distance learning among participants from very...
M. Vijay Venkatesh, Jian Zhao, L. Profitt, Sen-Chi...
NIPS
2004
13 years 8 months ago
Boosting on Manifolds: Adaptive Regularization of Base Classifiers
In this paper we propose to combine two powerful ideas, boosting and manifold learning. On the one hand, we improve ADABOOST by incorporating knowledge on the structure of the dat...
Balázs Kégl, Ligen Wang