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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
FGR
2006
IEEE
157views Biometrics» more  FGR 2006»
16 years 13 days ago
Evaluating Error Functions for Robust Active Appearance Models
Active appearance models (AAMs) are generative parametric models commonly used to track faces in video sequences. A limitation of AAMs is they are not robust to occlusion. A recen...
Barry-John Theobald, Iain Matthews, Simon Baker
187
Voted
ISQED
2007
IEEE
236views Hardware» more  ISQED 2007»
16 years 20 days ago
3DFFT: Thermal Analysis of Non-Homogeneous IC Using 3D FFT Green Function Method
Due to the roaring power dissipation and gaining popularity of 3D integration, thermal dissipation has been a critical concern of modern VLSI design. The availability for chip-lev...
Dongkeun Oh, Charlie Chung-Ping Chen, Yu Hen Hu
PPSN
1992
Springer
15 years 10 months ago
Nonstationary Function Optimization using the Structured Genetic Algorithm
In this paper, we describe the application of a new type of genetic algorithm called the Structured Genetic Algorithm (sGA) for function optimization in nonstationary environments...
Dipankar Dasgupta, Douglas R. McGregor
PPSN
1994
Springer
15 years 10 months ago
An Evolutionary Algorithm for Integer Programming
Abstract. The mutation distribution of evolutionary algorithms usually is oriented at the type of the search space. Typical examples are binomial distributions for binary strings i...
Günter Rudolph