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» Conditional Models for Non-smooth Ranking Loss Functions
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ICML
2009
IEEE
14 years 8 months ago
A Bayesian approach to protein model quality assessment
Given multiple possible models b1, b2, . . . bn for a protein structure, a common sub-task in in-silico Protein Structure Prediction is ranking these models according to their qua...
Hetunandan Kamisetty, Christopher James Langmead
CSDA
2006
84views more  CSDA 2006»
13 years 7 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
CVPR
2009
IEEE
13 years 11 months ago
Learning to associate: HybridBoosted multi-target tracker for crowded scene
We propose a learning-based hierarchical approach of multi-target tracking from a single camera by progressively associating detection responses into longer and longer track fragm...
Yuan Li, Chang Huang, Ram Nevatia
OSN
2011
13 years 2 months ago
Performance modeling of HS-RR-TCP over load-balanced optical burst-switched (OBS) networks
TCP-over-OBS is a promising transport paradigm to support next-generation Internet. It is well-known that loadbalanced routing generally improves loss performance over OBS. We ide...
Neal Charbonneau, Vinod Vokkarane
RSKT
2010
Springer
13 years 6 months ago
Naive Bayesian Rough Sets
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Yiyu Yao, Bing Zhou