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IDEAL
2007
Springer
13 years 10 months ago
A Tool for Web Usage Mining
This paper presents a tool for web usage mining. The aim is centered on providing a tool that facilitates the mining process rather than implement elaborated algorithms and techniq...
José M. Domenech, Javier Lorenzo
IDEAL
2007
Springer
13 years 10 months ago
Modularity, Product Innovation, and Consumer Satisfaction: An Agent-Based Approach
Abstract. The importance of modularity in product innovation is analyzed in this paper. Through simulations with an agent-based modular economic model, we examine the significance...
Shu-Heng Chen, Bin-Tzong Chie
IDEAL
2007
Springer
13 years 10 months ago
Quality of Adaptation of Fusion ViSOM
This work presents a research on the performance capabilities of an extension of the ViSOM (Visualization Induced SOM) algorithm by the use of the ensemble meta-algorithm and a lat...
Bruno Baruque, Emilio Corchado, Hujun Yin
IDEAL
2007
Springer
13 years 10 months ago
Skill Combination for Reinforcement Learning
Recently researchers have introduced methods to develop reusable knowledge in reinforcement learning (RL). In this paper, we define simple principles to combine skills in reinforce...
Zhihui Luo, David A. Bell, Barry McCollum
IDEAL
2007
Springer
13 years 10 months ago
Reverse Engineering an Agent-Based Hidden Markov Model for Complex Social Systems
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
IDEAL
2007
Springer
13 years 10 months ago
Partitioning-Clustering Techniques Applied to the Electricity Price Time Series
Clustering is used to generate groupings of data from a large dataset, with the intention of representing the behavior of a system as accurately as possible. In this sense, cluster...
Francisco Martínez-Álvarez, Alicia T...
IDEAL
2007
Springer
13 years 10 months ago
Methods to Bicluster Validation and Comparison in Microarray Data
There are lots of validation indexes and techniques to study clustering results. Biclustering algorithms have been applied in Systems Biology, principally in DNA Microarray analysi...
Rodrigo Santamaría, Luis Quintales, Roberto...
IDEAL
2007
Springer
13 years 10 months ago
Out of Bootstrap Estimation of Generalization Error Curves in Bagging Ensembles
The dependence of the classification error on the size of a bagging ensemble can be modeled within the framework of Monte Carlo theory for ensemble learning. These error curves ar...
Daniel Hernández-Lobato, Gonzalo Mart&iacut...
IDEAL
2007
Springer
13 years 10 months ago
Analysis of Tiling Microarray Data by Learning Vector Quantization and Relevance Learning
We apply learning vector quantization to the analysis of tiling microarray data. As an example we consider the classification of C. elegans genomic probes as intronic or exonic. T...
Michael Biehl, Rainer Breitling, Yang Li