126
Voted
IFIP12
2008
15 years 1 months ago
2008
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...
115
click to vote
IFIP12
2008
15 years 1 months ago
2008
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...
121
click to vote
IFIP12
2008
15 years 1 months ago
2008
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...
84
Voted
IFIP12
2008
15 years 1 months ago
2008
105
Voted
IFIP12
2008
15 years 1 months ago
2008
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 ...
75
Voted
IFIP12
2008
15 years 1 months ago
2008
73
Voted
IFIP12
2008
15 years 1 months ago
2008
IFIP12
2008
15 years 1 months ago
2008
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...
88
Voted
IFIP12
2008
15 years 1 months ago
2008
Autonomous Intelligent Systems (AIS) integrate planning, learning, and execution in a closed loop, showing an autonomous intelligent behavior. A Learning Life Cycle (LLC) Operators...
113
Voted
HIS
2007
15 years 1 months ago
2007
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...