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» Efficient Algorithms for Online Decision Problems
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ASE
2005
137views more  ASE 2005»
15 years 3 months ago
Rewriting-Based Techniques for Runtime Verification
Techniques for efficiently evaluating future time Linear Temporal Logic (abbreviated LTL) formulae on finite execution traces are presented. While the standard models of LTL are i...
Grigore Rosu, Klaus Havelund
SAT
2005
Springer
123views Hardware» more  SAT 2005»
15 years 9 months ago
Bounded Model Checking with QBF
Current algorithms for bounded model checking (BMC) use SAT methods for checking satisfiability of Boolean formulas. These BMC methods suffer from a potential memory explosion prob...
Nachum Dershowitz, Ziyad Hanna, Jacob Katz
AAAI
2006
15 years 5 months ago
Estimating Search Tree Size
We propose two new online methods for estimating the size of a backtracking search tree. The first method is based on a weighted sample of the branches visited by chronological ba...
Philip Kilby, John K. Slaney, Sylvie Thiéba...
ICML
2008
IEEE
16 years 4 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
NIPS
2008
15 years 5 months ago
Clustering via LP-based Stabilities
A novel center-based clustering algorithm is proposed in this paper. We first formulate clustering as an NP-hard linear integer program and we then use linear programming and the ...
Nikos Komodakis, Nikos Paragios, Georgios Tziritas