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» On the Complexity of Function Learning
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CBMS
2009
IEEE
16 years 1 months ago
Comparative study of spine vertebra shape retrieval using learning-based feature selection
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
Haiying Guan, Sameer Antani, L. Rodney Long, Georg...
SAC
2009
ACM
16 years 1 months ago
Celling SHIM: compiling deterministic concurrency to a heterogeneous multicore
Parallel architectures are the way of the future, but are notoriously difficult to program. In addition to the low-level constructs they often present (e.g., locks, DMA, and non-...
Nalini Vasudevan, Stephen A. Edwards
TACAS
2009
Springer
128views Algorithms» more  TACAS 2009»
16 years 1 months ago
All-Termination(T)
We introduce the All-Termination(T) problem: given a termination solver, T, and a program (a set of functions), find every set of formal arguments whose consideration is sufficie...
Panagiotis Manolios, Aaron Turon
CEC
2009
IEEE
16 years 1 months ago
Optimization of the sizing of a solar thermal electricity plant: Mathematical programming versus genetic algorithms
— Genetic algorithms (GAs) have been argued to constitute a flexible search thereby enabling to solve difficult problems which classical optimization methodologies may find ha...
Jose M. Cabello, Jose M. Cejudo, Mariano Luque, Fr...
CEC
2009
IEEE
16 years 1 months ago
The multiobjective evolutionary algorithm based on determined weight and sub-regional search
— By dividing the multiobjective optimization of the decision space into several small regions, this paper proposes multi-objective optimization algorithm based on sub-regional s...
Hai-lin Liu, Xueqiang Li
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