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» Simple Algorithms for a Weighted Interval Selection Problem
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IJCAI
2003
13 years 9 months ago
Does a New Simple Gaussian Weighting Approach Perform Well in Text Categorization?
A new approach to the Text Categorization problem is here presented. It is called Gaussian Weighting and it is a supervised learning algorithm that, during the training phase, est...
Giorgio Maria Di Nunzio, Alessandro Micarelli
FAW
2009
Springer
134views Algorithms» more  FAW 2009»
14 years 2 months ago
Pathwidth is NP-Hard for Weighted Trees
The pathwidth of a graph G is the minimum clique number of H minus one, over all interval supergraphs H of G. We prove in this paper that the PATHWIDTH problem is NP-hard for parti...
Rodica Mihai, Ioan Todinca
NN
2007
Springer
13 years 7 months ago
From memory-based decisions to decision-based movements: A model of interval discrimination followed by action selection
The interval discrimination task is a classical experimental paradigm that is employed to study working memory and decision making and typically involves four phases. First, the s...
Prashant Joshi
GECCO
2004
Springer
124views Optimization» more  GECCO 2004»
14 years 1 months ago
A Statistical Model of GA Dynamics for the OneMax Problem
A model of the dynamics of solving the counting-ones (OneMax) problem using a simple genetic algorithm (GA) is developed. It uses statistics of the early generations of GA runs to ...
Bulent Buyukbozkirli, Erik D. Goodman
EUROGP
2001
Springer
105views Optimization» more  EUROGP 2001»
14 years 4 days ago
Adaptive Genetic Programming Applied to New and Existing Simple Regression Problems
Abstract. In this paper we continue our study on adaptive genetic programming. We use Stepwise Adaptation of Weights (saw) to boost performance of a genetic programming algorithm o...
Jeroen Eggermont, Jano I. van Hemert