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IFIP12
2008
13 years 10 months ago
Bayesian Networks Optimization Based on Induction Learning Techniques
Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
Paola Britos, Pablo Felgaer, Ramón Garc&iac...
IFIP12
2008
13 years 10 months ago
Teaching Autonomous Agents to Move in a Believable Manner within Virtual Institutions
Believability of computerised agents is a growing area of research. This paper is focused on one aspect of believability - believable movements of avatars in normative 3D Virtual W...
Anton Bogdanovych, Simeon J. Simoff, Marc Esteva, ...
IFIP12
2008
13 years 10 months ago
A Study with Class Imbalance and Random Sampling for a Decision Tree Learning System
Sampling methods are a direct approach to tackle the problem of class imbalance. These methods sample a data set in order to alter the class distributions. Usually these methods ar...
Ronaldo C. Prati, Gustavo E. A. P. A. Batista, Mar...
IFIP12
2008
13 years 10 months ago
Mining Fuzzy Association Rules from Composite Items
This paper presents an approach for mining fuzzy Association Rules (ARs) relating the properties of composite items, i.e. items that each feature a number of values derived from a ...
M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen
IFIP12
2008
13 years 10 months ago
Detecting Unusual Changes of Users Consumption
Paola Britos, Hernan Grosser, Darío Rodr&ia...
IFIP12
2008
13 years 10 months ago
Applying Data Mining to the Study of Joseki
Go is a strategic two player boardgame of Chinese origin. In terms of game theory, it is a deterministic perfect information game. But despite of these factors it is terribly comp...
Michiel Helvensteijn
IFIP12
2008
13 years 10 months ago
Learning Life Cycle in Autonomous Intelligent Systems
Autonomous Intelligent Systems (AIS) integrate planning, learning, and execution in a closed loop, showing an autonomous intelligent behavior. A Learning Life Cycle (LLC) Operators...
Jorge Salvador Ierache, Ramón García...
HIS
2007
13 years 10 months ago
Genetic Programming meets Model-Driven Development
Genetic programming is known to provide good solutions for many problems like the evolution of network protocols and distributed algorithms. In such cases it is most likely a hard...
Thomas Weise, Michael Zapf, Mohammad Ullah Khan, K...