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CP
2006
Springer
13 years 8 months ago
Performance Prediction and Automated Tuning of Randomized and Parametric Algorithms
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
FSS
2006
107views more  FSS 2006»
13 years 4 months ago
Parametric indices of fuzziness for automated image enhancement
This paper presents an automated fuzziness-driven algorithm for image enhancement.A class of parametric indices of fuzziness is introduced, which serves as the optimization criter...
Ioannis K. Vlachos, George D. Sergiadis
EGPGV
2004
Springer
165views Visualization» more  EGPGV 2004»
13 years 10 months ago
Tuning of Algorithms for Independent Task Placement in the Context of Demand-Driven Parallel Ray Tracing
This paper investigates assignment strategies (load balancing algorithms) for process farms which solve the problem of online placement of a constant number of independent tasks w...
Tomas Plachetka
SIGMOD
2008
ACM
138views Database» more  SIGMOD 2008»
13 years 4 months ago
Configuration-parametric query optimization for physical design tuning
Automated physical design tuning for database systems has recently become an active area of research and development. Existing tuning tools explore the space of feasible solutions...
Nicolas Bruno, Rimma V. Nehme
EC
2006
121views ECommerce» more  EC 2006»
13 years 4 months ago
A Study of Structural and Parametric Learning in XCS
The performance of a learning classifier system is due to its two main components. First, it evolves new structures by generating new rules in a genetic process; second, it adjust...
Tim Kovacs, Manfred Kerber