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» Regret Bounds for Prediction Problems
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CVPR
2009
IEEE
15 years 5 months ago
What's It Going to Cost You?: Predicting Effort vs. Informativeness for Multi-Label Image Annotations
Active learning strategies can be useful when manual labeling effort is scarce, as they select the most informative examples to be annotated first. However, for visual category ...
Sudheendra Vijayanarasimhan (University of Texas a...
IJDMB
2010
216views more  IJDMB 2010»
13 years 8 months ago
Struct-NB: predicting protein-RNA binding sites using structural features
: We explore whether protein-RNA interfaces differ from non-interfaces in terms of their structural features and whether structural features vary according to the type of the bound...
Fadi Towfic, Cornelia Caragea, David C. Gemperline...
CORR
2010
Springer
131views Education» more  CORR 2010»
13 years 10 months ago
A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering
We formulate weighted graph clustering as a prediction problem1 : given a subset of edge weights we analyze the ability of graph clustering to predict the remaining edge weights. ...
Yevgeny Seldin
SDM
2010
SIAM
144views Data Mining» more  SDM 2010»
13 years 11 months ago
Predictive Modeling with Heterogeneous Sources
Lack of labeled training examples is a common problem for many applications. In the same time, there is usually an abundance of labeled data from related tasks. But they have diff...
Xiaoxiao Shi, Qi Liu, Wei Fan, Qiang Yang, Philip ...
INFOCOM
1993
IEEE
14 years 2 months ago
Queueing Delays in Rate Controlled ATM Networks
This paper addresses the problem of finding the worst case end-to-end delay and buffer occupancy bounds in ATM networks with rate-controlled, non-work conserving servers. A theore...
Anindo Banerjea, Srinivasan Keshav