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ICML
2003
IEEE
16 years 2 days ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
CDC
2009
IEEE
142views Control Systems» more  CDC 2009»
15 years 11 months ago
Optimized rate allocation for state feedback control over noisy channels
Abstract— Optimal rate allocation in a networked control system with highly limited communication resources is instrumental to achieve satisfactory overall performance. In this p...
Lei Bao, Mikael Skoglund, Carlo Fischione, Karl He...
STACS
2009
Springer
15 years 11 months ago
Asymptotically Optimal Lower Bounds on the NIH-Multi-Party Information Complexity of the AND-Function and Disjointness
Here we prove an asymptotically optimal lower bound on the information complexity of the k-party disjointness function with the unique intersection promise, an important special ca...
Andre Gronemeier
IEEEPACT
2000
IEEE
15 years 11 months ago
Region Formation Analysis with Demand-Driven Inlining for Region-Based Optimization
Region-based compilation repartitions a program into more desirable compilation units for optimization and scheduling, particularly beneficial for ILP architectures. With region-...
Tom Way, Ben Breech, Lori L. Pollock
ICCAD
1994
IEEE
90views Hardware» more  ICCAD 1994»
15 years 11 months ago
Algorithm selection: a quantitative computation-intensive optimization approach
Given a set of specifications for a targeted application, algorithm selection refers to choosing the most suitable algorithm for a given goal, among several functionally equivalen...
Miodrag Potkonjak, Jan M. Rabaey