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» A Hybrid Data Mining Metaheuristic for the p-Median Problem.
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
14 years 5 months ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
14 years 2 months ago
Diversity-Based Weighting Schemes for Clustering Ensembles.
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
Andrea Tagarelli, Francesco Gullo, Sergio Greco
PKDD
2009
Springer
184views Data Mining» more  PKDD 2009»
13 years 9 months ago
Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
Abstract. This paper focuses on Active Learning with a limited number of queries; in application domains such as Numerical Engineering, the size of the training set might be limite...
Philippe Rolet, Michèle Sebag, Olivier Teyt...
ISBRA
2010
Springer
13 years 11 months ago
"Master-Slave" Biological Network Alignment
d abstract), Nicola Ferraro, Luigi Palopoli, Simona Panni and Simona E. Rombo. Uncovering Hidden Phylogenetic Consensus d abstract), Nicholas Pattengale, Krister Swenson and Bernar...
Nicola Ferraro, Luigi Palopoli, Simona Panni, Simo...
ESOP
2006
Springer
13 years 8 months ago
Path Optimization in Programs and Its Application to Debugging
We present and solve a path optimization problem on programs. Given a set of program nodes, called critical nodes, we find a shortest path through the program's control flow g...
Akash Lal, Junghee Lim, Marina Polishchuk, Ben Lib...