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» On the Hardness of Approximate Reasoning
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BMCBI
2007
172views more  BMCBI 2007»
15 years 6 months ago
msBayes: Pipeline for testing comparative phylogeographic histories using hierarchical approximate Bayesian computation
Background: Although testing for simultaneous divergence (vicariance) across different population-pairs that span the same barrier to gene flow is of central importance to evoluti...
Michael J. Hickerson, Eli Stahl, Naoki Takebayashi
ATAL
2008
Springer
15 years 8 months ago
On k-optimal distributed constraint optimization algorithms: new bounds and algorithms
Distributed constraint optimization (DCOP) is a promising approach to coordination, scheduling and task allocation in multi agent networks. In large-scale or low-bandwidth network...
Emma Bowring, Jonathan P. Pearce, Christopher Port...
POPL
2010
ACM
16 years 3 months ago
A Theory of Indirection via Approximation
Building semantic models that account for various kinds of indirect reference has traditionally been a difficult problem. Indirect reference can appear in many guises, such as hea...
Aquinas Hobor, Robert Dockins, Andrew W. Appel
VMCAI
2007
Springer
16 years 15 days ago
Better Under-Approximation of Programs by Hiding Variables
Abstraction frameworks use under-approximating transitions in order to prove existential properties of concrete systems. Under-approximating transifer to the concrete states that c...
Thomas Ball, Orna Kupferman
AMAI
2004
Springer
15 years 11 months ago
Approximate Probabilistic Constraints and Risk-Sensitive Optimization Criteria in Markov Decision Processes
The majority of the work in the area of Markov decision processes has focused on expected values of rewards in the objective function and expected costs in the constraints. Althou...
Dmitri A. Dolgov, Edmund H. Durfee