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» Approximation Algorithms for Free-Label Maximization
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SDM
2011
SIAM
233views Data Mining» more  SDM 2011»
12 years 11 months ago
Multi-Instance Mixture Models
Multi-instance (MI) learning is a variant of supervised learning where labeled examples consist of bags (i.e. multi-sets) of feature vectors instead of just a single feature vecto...
James R. Foulds, Padhraic Smyth
COCOA
2008
Springer
13 years 10 months ago
On Recovering Syntenic Blocks from Comparative Maps
A genomic map is represented by a sequence of gene markers, and a gene marker can appear in several different genomic maps, in either positive or negative form. A strip (syntenic b...
Zhixiang Chen, Bin Fu, Minghui Jiang, Binhai Zhu
SIAMJO
2010
136views more  SIAMJO 2010»
13 years 3 months ago
A New Exchange Method for Convex Semi-Infinite Programming
In this paper we propose a new exchange method for solving convex semi-infinite programming (CSIP) problems. We introduce a new dropping-rule in the proposed exchange algorithm, wh...
Liping Zhang, Soon-Yi Wu, Marco A. López
STOC
2002
ACM
121views Algorithms» more  STOC 2002»
14 years 9 months ago
Average case analysis for batched disk scheduling and increasing subsequences
We consider the problem of estimating the tour length and finding approximation algorithms for the asymmetric traveling salesman problem arising from the disk scheduling problem. ...
Eitan Bachmat
APPROX
2004
Springer
122views Algorithms» more  APPROX 2004»
14 years 2 months ago
Maximum Coverage Problem with Group Budget Constraints and Applications
We study a variant of the maximum coverage problem which we label the maximum coverage problem with group budget constraints (MCG). We are given a collection of sets S = {S1, S2, ....
Chandra Chekuri, Amit Kumar