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ICML
1998
IEEE
14 years 8 months ago
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions
This paper introduces a new algorithm, Q2, foroptimizingthe expected output ofamultiinput noisy continuous function. Q2 is designed to need only a few experiments, it avoids stron...
Andrew W. Moore, Jeff G. Schneider, Justin A. Boya...
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 1 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
INFOCOM
2000
IEEE
14 years 2 days ago
Optimal Streaming of Layered Video
Abstract—This paper presents a model and theory for streaming layered video. We model the bandwidth available to the streaming application as a stochastic process whose statistic...
Despina Saparilla, Keith W. Ross
EMSOFT
2007
Springer
14 years 1 months ago
Buffer optimization and dispatching scheme for embedded systems with behavioral transparency
Software components are modular and can enable post-deployment update, but their high overhead in runtime and memory is prohibitive for many embedded systems. This paper proposes ...
Jiwon Hahn, Pai H. Chou
DMIN
2006
126views Data Mining» more  DMIN 2006»
13 years 9 months ago
Comparison and Analysis of Mutation-based Evolutionary Algorithms for ANN Parameters Optimization
Mutation-based Evolutionary Algorithms, also known as Evolutionary Programming (EP) are commonly applied to Artificial Neural Networks (ANN) parameters optimization. This paper pre...
Kristina Davoian, Alexander Reichel, Wolfram-Manfr...