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» Machine-Learning Applications of Algorithmic Randomness
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TEC
2008
165views more  TEC 2008»
13 years 8 months ago
Population-Based Incremental Learning With Associative Memory for Dynamic Environments
In recent years, interest in studying evolutionary algorithms (EAs) for dynamic optimization problems (DOPs) has grown due to its importance in real-world applications. Several app...
Shengxiang Yang, Xin Yao
VEE
2006
ACM
142views Virtualization» more  VEE 2006»
14 years 2 months ago
Secure and practical defense against code-injection attacks using software dynamic translation
One of the most common forms of security attacks involves exploiting a vulnerability to inject malicious code into an executing application and then cause the injected code to be ...
Wei Hu, Jason Hiser, Daniel Williams, Adrian Filip...
TIT
2008
90views more  TIT 2008»
13 years 8 months ago
Scanning and Sequential Decision Making for Multidimensional Data - Part II: The Noisy Case
We consider the problem of sequential decision making for random fields corrupted by noise. In this scenario, the decision maker observes a noisy version of the data, yet judged wi...
Asaf Cohen, Tsachy Weissman, Neri Merhav
SAGA
2007
Springer
14 years 2 months ago
Probabilistic Techniques in Algorithmic Game Theory
We consider applications of probabilistic techniques in the framework of algorithmic game theory. We focus on three distinct case studies: (i) The exploitation of the probabilistic...
Spyros C. Kontogiannis, Paul G. Spirakis
DATE
2009
IEEE
133views Hardware» more  DATE 2009»
14 years 3 months ago
Energy efficient multiprocessor task scheduling under input-dependent variation
— In this paper, we propose a novel, energy aware scheduling algorithm for applications running on DVS-enabled multiprocessor systems, which exploits variation in execution times...
Jason Cong, Karthik Gururaj