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» Interval Methods: An Introduction
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CEC
2003
IEEE
14 years 3 months ago
Adaptive temperature schedule determined by genetic algorithm for parallel simulated annealing
Abstract- Simulated annealing (SA) is an effective general heuristic method for solving many combinatorial optimization problems. This paper deals with two problems in SA. One is ...
Mitsunori Miki, Tomoyuki Hiroyasu, Jun'ya Wako, Ta...
USENIX
2003
13 years 11 months ago
Learning Spam: Simple Techniques For Freely-Available Software
The problem of automatically filtering out spam e-mail using a classifier based on machine learning methods is of great recent interest. This paper gives an introduction to mach...
Bart Massey, Mick Thomure, Raya Budrevich, Scott L...
COR
2004
146views more  COR 2004»
13 years 9 months ago
An exact algorithm for the robust shortest path problem with interval data
The robust deviation shortest path problem with interval data is studied in this paper. After the formulation of the problem in mathematical terms, an exact algorithm, based on a ...
Roberto Montemanni, Luca Maria Gambardella
SAC
2004
ACM
14 years 3 months ago
Interval and dynamic time warping-based decision trees
This work presents decision trees adequate for the classification of series data. There are several methods for this task, but most of them focus on accuracy. One of the requirem...
Juan José Rodríguez, Carlos J. Alons...
GTTSE
2007
Springer
15 years 8 months ago
A Gentle Introduction to Multi-stage Programming-Part II
As domain-specific languages (DSLs) permeate into mainstream software engineering, there is a need for economic methods for implementing languages. Following up on a paper with a s...
Walid Taha