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ICCBR
2009
Springer
15 years 9 months ago
Improving Reinforcement Learning by Using Case Based Heuristics
This work presents a new approach that allows the use of cases in a case base as heuristics to speed up Reinforcement Learning algorithms, combining Case Based Reasoning (CBR) and ...
Reinaldo A. C. Bianchi, Raquel Ros, Ramon Ló...
137
Voted
ICCS
2009
Springer
15 years 9 months ago
A Holistic Approach for Performance Measurement and Analysis for Petascale Applications
Abstract. Contemporary high-end Terascale and Petascale systems are composed of hundreds of thousands of commodity multi-core processors interconnected with high-speed custom netwo...
Heike Jagode, Jack Dongarra, Sadaf R. Alam, Jeffre...
99
Voted
ICNC
2009
Springer
15 years 9 months ago
Estimating Strength of Concrete Using a Grammatical Evolution
The main purpose of this paper is to propose an incorporating a grammatical evolution (GE) into the genetic algorithm (GA), called GEGA, and apply it to estimate the compressive s...
Hsun-Hsin Hsu, Li Chen, Chang-Huan Kou, Tai-Sheng ...
IWDW
2009
Springer
15 years 9 months ago
Estimating the Information Theoretic Optimal Stego Noise
We recently developed a new benchmark for steganography, underpinned by the square root law of capacity, called Steganographic Fisher Information (SFI). It is related to the multip...
Andrew D. Ker
PKDD
2009
Springer
147views Data Mining» more  PKDD 2009»
15 years 9 months ago
Kernel Polytope Faces Pursuit
Abstract. Polytope Faces Pursuit (PFP) is a greedy algorithm that approximates the sparse solutions recovered by 1 regularised least-squares (Lasso) [4,10] in a similar vein to (Or...
Tom Diethe, Zakria Hussain