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COLT
2004
Springer
14 years 28 days ago
Performance Guarantees for Regularized Maximum Entropy Density Estimation
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
Miroslav Dudík, Steven J. Phillips, Robert ...
UAI
2004
13 years 9 months ago
MOB-ESP and other Improvements in Probability Estimation
A key prerequisite to optimal reasoning under uncertainty in intelligent systems is to start with good class probability estimates. This paper improves on the current best probabi...
Rodney Nielsen
SASN
2005
ACM
14 years 1 months ago
A key pre-distribution scheme for secure sensor networks using probability density function of node deployment
Pairwise key establishment is a fundamental service provided in secure sensor networks. However, due to resource constraints, establishing pairwise keys is not a trivial task. Rec...
Takashi Ito, Hidenori Ohta, Nori Matsuda, Takeshi ...
ICML
2006
IEEE
14 years 8 months ago
Cost-sensitive learning with conditional Markov networks
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
Prithviraj Sen, Lise Getoor
BMVC
2000
13 years 9 months ago
The Cross Ratio: A Revisit to its Probability Density Function
The cross ratio has wide applications in computer vision because of its invariance under projective transformation. In active vision where the projections of quadruples of colline...
D. Q. Huynh