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JCIT
2010
148views more  JCIT 2010»
14 years 11 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...
161
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JMLR
2010
128views more  JMLR 2010»
14 years 11 months ago
Fluid Dynamics Models for Low Rank Discriminant Analysis
We consider the problem of reducing the dimensionality of labeled data for classification. Unfortunately, the optimal approach of finding the low-dimensional projection with minim...
Yung-Kyun Noh, Byoung-Tak Zhang, Daniel D. Lee
PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
14 years 10 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
PERVASIVE
2011
Springer
14 years 7 months ago
Disaggregated End-Use Energy Sensing for the Smart Grid
Most utility installed energy meters are primarily intended to support a utility's billing function. They report only the aggregate energy consumption of a home or business o...
Jon Froehlich, Eric Larson, Sidhant Gupta, Gabe Co...
ICPR
2008
IEEE
16 years 5 months ago
Fast and regularized local metric for query-based operations
To learn a metric for query?based operations, we combine the concept underlying manifold learning algorithms and the minimum volume ellipsoid metric in a unified algorithm to find...
Frank P. Ferrie, Karim T. Abou-Moustafa