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NIPS
2004
15 years 6 months ago
Optimal Aggregation of Classifiers and Boosting Maps in Functional Magnetic Resonance Imaging
We study a method of optimal data-driven aggregation of classifiers in a convex combination and establish tight upper bounds on its excess risk with respect to a convex loss funct...
Vladimir Koltchinskii, Manel Martínez-Ram&o...
ICCAD
2003
IEEE
142views Hardware» more  ICCAD 2003»
16 years 1 months ago
Energy Optimization of Distributed Embedded Processors by Combined Data Compression and Functional Partitioning
Transmitting compressed data can reduce inter-processor communication traffic and create new opportunities for DVS (dynamic voltage scaling) in distributed embedded systems. Howe...
Jinfeng Liu, Pai H. Chou
FPL
2004
Springer
103views Hardware» more  FPL 2004»
15 years 10 months ago
Automating Optimized Table-with-Polynomial Function Evaluation for FPGAs
Abstract. Function evaluation is at the core of many compute-intensive applications which perform well on reconfigurable platforms. Yet, in order to implement function evaluation ...
Dong-U Lee, Oskar Mencer, David J. Pearce, Wayne L...
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
15 years 8 months ago
Local search for multiobjective function optimization: pareto descent method
Genetic Algorithm (GA) is known as a potent multiobjective optimization method, and the effectiveness of hybridizing it with local search (LS) has recently been reported in the li...
Ken Harada, Jun Sakuma, Shigenobu Kobayashi
GECCO
2004
Springer
118views Optimization» more  GECCO 2004»
15 years 10 months ago
Better Spread and Convergence: Particle Swarm Multiobjective Optimization Using the Maximin Fitness Function
Maximin strategy has its origin in game theory, but it can be adopted for effective multiobjective optimization. This paper proposes a particle swarm multiobjective optimiser, max...
Xiaodong Li