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» Tackling Large State Spaces in Performance Modelling
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CCE
2004
13 years 8 months ago
Dynamic programming in a heuristically confined state space: a stochastic resource-constrained project scheduling application
The Resource-Constrained Project Scheduling Problem(RCPSP) is a significant challenge in highly regulated industries, such as pharmaceuticals and agrochemicals, where a large numb...
Jaein Choi, Matthew J. Realff, Jay H. Lee
ATAL
2004
Springer
14 years 17 days ago
State-Space Reduction Techniques in Agent Verification
We have developed a set of tools to allow the use of model-checking techniques for the verification of systems directly implemented in an agent-oriented programming language. The ...
Rafael H. Bordini, Michael Fisher, Willem Visser, ...
TASLP
2010
106views more  TASLP 2010»
13 years 3 months ago
Efficient and Robust Music Identification With Weighted Finite-State Transducers
We present an approach to music identification based on weighted finite-state transducers and Gaussian mixture models, inspired by techniques used in large-vocabulary speech recogn...
Mehryar Mohri, Pedro Moreno, Eugene Weinstein
ASPLOS
2012
ACM
12 years 4 months ago
Providing safe, user space access to fast, solid state disks
Emerging fast, non-volatile memories (e.g., phase change memories, spin-torque MRAMs, and the memristor) reduce storage access latencies by an order of magnitude compared to state...
Adrian M. Caulfield, Todor I. Mollov, Louis Alex E...
FGCS
2006
83views more  FGCS 2006»
13 years 8 months ago
Memory-efficient Kronecker algorithms with applications to the modelling of parallel systems
We present a new algorithm for computing the solution of large Markov chain models whose generators can be represented in the form of a generalized tensor algebra, such as network...
Anne Benoit, Brigitte Plateau, William J. Stewart