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ICML
2009
IEEE
15 years 10 months ago
Convex variational Bayesian inference for large scale generalized linear models
We show how variational Bayesian inference can be implemented for very large generalized linear models. Our relaxation is proven to be a convex problem for any log-concave model. ...
Hannes Nickisch, Matthias W. Seeger
CRV
2008
IEEE
120views Robotics» more  CRV 2008»
15 years 4 months ago
Ray-based Color Image Segmentation
We propose a ray-based segmentation method for color images. A segment is represented by a centroid and evenlydistributed rays shooting out from it. First, a bottom-up low-level b...
Changhai Xu, Yong Jae Lee, Benjamin Kuipers
PKDD
2005
Springer
167views Data Mining» more  PKDD 2005»
15 years 3 months ago
Hybrid Cost-Sensitive Decision Tree
Cost-sensitive decision tree and cost-sensitive naïve Bayes are both new cost-sensitive learning models proposed recently to minimize the total cost of test and misclassifications...
Shengli Sheng, Charles X. Ling
DATE
2004
IEEE
116views Hardware» more  DATE 2004»
15 years 1 months ago
A Novel SAT All-Solutions Solver for Efficient Preimage Computation
In this paper, we present a novel all-solutions preimage SAT solver, SOLALL, with the following features: (1) a new success-driven learning algorithm employing smaller cut sets; (...
Bin Li, Michael S. Hsiao, Shuo Sheng
COLT
2005
Springer
14 years 11 months ago
Loss Bounds for Online Category Ranking
Category ranking is the task of ordering labels with respect to their relevance to an input instance. In this paper we describe and analyze several algorithms for online category r...
Koby Crammer, Yoram Singer