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TEC
2002
133views more  TEC 2002»
13 years 8 months ago
Learning and optimization using the clonal selection principle
The clonal selection principle is used to explain the basic features of an adaptive immune response to an antigenic stimulus. It establishes the idea that only those cells that rec...
Leandro Nunes de Castro, Fernando J. Von Zuben
ARC
2010
Springer
387views Hardware» more  ARC 2010»
14 years 3 months ago
Optimising Memory Bandwidth Use for Matrix-Vector Multiplication in Iterative Methods
Computing the solution to a system of linear equations is a fundamental problem in scientific computing, and its acceleration has drawn wide interest in the FPGA community [1–3]...
David Boland, George A. Constantinides
INAP
2001
Springer
14 years 1 months ago
A Modern Approach to Searching the World Wide Web: Ranking Pages by Inference over Content
The Hypertext-based Webs such as Intranets contain a vast amount of information pertaining to an enormous number of subjects. It is, however, an organically grown and thus essentia...
Bronson Trevor, Edgar Weippl, Werner Winiwarter
GECCO
2006
Springer
179views Optimization» more  GECCO 2006»
14 years 19 days 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
CIKM
2008
Springer
13 years 11 months ago
Error-driven generalist+experts (edge): a multi-stage ensemble framework for text categorization
We introduce a multi-stage ensemble framework, ErrorDriven Generalist+Expert or Edge, for improved classification on large-scale text categorization problems. Edge first trains a ...
Jian Huang 0002, Omid Madani, C. Lee Giles