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» Simple Algorithms for a Weighted Interval Selection Problem
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UAI
2004
13 years 9 months ago
Active Model Selection
Classical learning assumes the learner is given a labeled data sample, from which it learns a model. The field of Active Learning deals with the situation where the learner begins...
Omid Madani, Daniel J. Lizotte, Russell Greiner
CP
2009
Springer
14 years 8 months ago
Approximating Weighted Max-SAT Problems by Compensating for Relaxations
We introduce a new approach to approximating weighted Max-SAT problems that is based on simplifying a given instance, and then tightening the approximation. First, we relax its str...
Arthur Choi, Trevor Standley, Adnan Darwiche
RTCSA
2003
IEEE
14 years 28 days ago
Scheduling Jobs with Multiple Feasible Intervals
This paper addresses the problem of scheduling real-time jobs that have multiple feasible intervals. The problem is NP-hard. We present an optimal branch-and-bound algorithm. When...
Chi-Sheng Shih, Jane W.-S. Liu, Infan Kuok Cheong
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 6 months ago
Faster Algorithms for Semi-Matching Problems
We consider the problem of finding semi-matching in bipartite graphs which is also extensively studied under various names in the scheduling literature. We give faster algorithms ...
Jittat Fakcharoenphol, Bundit Laekhanukit, Danupon...
CORR
2008
Springer
169views Education» more  CORR 2008»
13 years 7 months ago
Tight Approximation Ratio of a General Greedy Splitting Algorithm for the Minimum k-Way Cut Problem
For an edge-weighted connected undirected graph, the minimum k-way cut problem is to find a subset of edges of minimum total weight whose removal separates the graph into k connect...
Mingyu Xiao, Leizhen Cai, Andrew C. Yao