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CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 9 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
CCGRID
2009
IEEE
14 years 3 months ago
Reliability-Oriented Genetic Algorithm for Workflow Applications Using Max-Min Strategy
— To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solut...
Xiaofeng Wang, Rajkumar Buyya, Jinshu Su
CASES
2011
ACM
12 years 8 months ago
Cost-effective safety and fault localization using distributed temporal redundancy
Cost pressure is driving vendors of safety-critical systems to integrate previously distributed systems. One natural approach we have previous introduced is On-Demand Redundancy (...
Brett H. Meyer, Benton H. Calhoun, John Lach, Kevi...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
13 years 7 months ago
Scalable similarity search with optimized kernel hashing
Scalable similarity search is the core of many large scale learning or data mining applications. Recently, many research results demonstrate that one promising approach is creatin...
Junfeng He, Wei Liu, Shih-Fu Chang
IPPS
2007
IEEE
14 years 3 months ago
C++ based System Synthesis of Real-Time Video Processing Systems targeting FPGA Implementation
Implementing real-time video processing systems put high requirements on computation and memory performance. FPGAs have proven to be effective implementation architecture for thes...
Najeem Lawal, Mattias O'Nils, Benny Thörnberg