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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 3 months ago
Learning to rank networked entities
Several algorithms have been proposed to learn to rank entities modeled as feature vectors, based on relevance feedback. However, these algorithms do not model network connections...
Alekh Agarwal, Soumen Chakrabarti, Sunny Aggarwal
NETWORKS
2010
15 years 1 months ago
A mean-variance model for the minimum cost flow problem with stochastic arc costs
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
Stephen D. Boyles, S. Travis Waller
ACCV
2006
Springer
15 years 4 months ago
Learning Multi-category Classification in Bayesian Framework
Abstract. We propose an algorithm for Sparse Bayesian Classification for multi-class problems using Automatic Relevance Determination(ARD). Unlike other approaches which treat mult...
Atul Kanaujia, Dimitris N. Metaxas
CP
2007
Springer
15 years 9 months ago
Model-Driven Visualizations of Constraint-Based Local Search
Visualization is often invaluable to understand the behavior of optimization algorithms, identify their bottlenecks or pathological behaviors, and suggest remedial techniques. Yet ...
Grégoire Dooms, Pascal Van Hentenryck, Laur...
NIPS
2004
15 years 4 months ago
Distributed Information Regularization on Graphs
We provide a principle for semi-supervised learning based on optimizing the rate of communicating labels for unlabeled points with side information. The side information is expres...
Adrian Corduneanu, Tommi Jaakkola