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» Modelling Bounded Rationality Using Evolutionary Techniques
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GECCO
2004
Springer
175views Optimization» more  GECCO 2004»
14 years 3 months ago
Enhanced Innovation: A Fusion of Chance Discovery and Evolutionary Computation to Foster Creative Processes and Decision Making
Abstract. Human-based genetic algorithms are powerful tools for organizational modeling. If we enhance them using chance discovery techniques, we obtain an innovative approach for ...
Xavier Llorà, Kei Ohnishi, Ying-Ping Chen, ...
ISSAC
2007
Springer
130views Mathematics» more  ISSAC 2007»
14 years 4 months ago
On probabilistic analysis of randomization in hybrid symbolic-numeric algorithms
Algebraic randomization techniques can be applied to hybrid symbolic-numeric algorithms. Here we consider the problem of interpolating a sparse rational function from noisy values...
Erich Kaltofen, Zhengfeng Yang, Lihong Zhi
STOC
2006
ACM
166views Algorithms» more  STOC 2006»
14 years 10 months ago
New upper and lower bounds for randomized and quantum local search
Local Search problem, which finds a local minimum of a black-box function on a given graph, is of both practical and theoretical importance to combinatorial optimization, complexi...
Shengyu Zhang
NIPS
1998
13 years 11 months ago
Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm
We present the CEM (Conditional Expectation Maximization) algorithm as an extension of the EM (Expectation Maximization) algorithm to conditional density estimation under missing ...
Tony Jebara, Alex Pentland
ICDCS
1995
IEEE
14 years 1 months ago
Analysis of Resource Lower Bounds in Real-Time Applications
Tasks in a real-time application usually have several stringent timing, resource, and communication requirements. Designing a distributed computing system which can meet all these...
Raed Alqadi, Parameswaran Ramanathan