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» A New Class Based Associative Classification Algorithm
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CVPR
2008
IEEE
16 years 5 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
PAMI
2008
162views more  PAMI 2008»
15 years 2 months ago
Bayes Optimality in Linear Discriminant Analysis
We present an algorithm which provides the one-dimensional subspace where the Bayes error is minimized for the C class problem with homoscedastic Gaussian distributions. Our main ...
Onur C. Hamsici, Aleix M. Martínez
115
Voted
AAAI
2006
15 years 4 months ago
Proposing a New Term Weighting Scheme for Text Categorization
In text categorization, term weighting methods assign appropriate weights to the terms to improve the classification performance. In this study, we propose an effective term weigh...
Man Lan, Chew Lim Tan, Hwee-Boon Low
122
Voted
CDC
2009
IEEE
172views Control Systems» more  CDC 2009»
15 years 7 months ago
Approximate dynamic programming using fluid and diffusion approximations with applications to power management
—TD learning and its refinements are powerful tools for approximating the solution to dynamic programming problems. However, the techniques provide the approximate solution only...
Wei Chen, Dayu Huang, Ankur A. Kulkarni, Jayakrish...
130
Voted
ECSQARU
2009
Springer
15 years 22 days ago
When in Doubt ... Be Indecisive
For a presented case, a Bayesian network classifier in essence computes a posterior probability distribution over its class variable. Based upon this distribution, the classifier&#...
Linda C. van der Gaag, Silja Renooij, Wilma Steene...