ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. Many complex control problems are not amenable to traditional controller design. Not only is it difficult to model real systems, but often it is unclear what kind of beha...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
In Nearest Rectangle (NR) learning, training instances are generalized into hyperrectangles and a query is classified according to the class of its nearest rectangle. The method ha...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Automatically acquiring control-knowledge for planning, as it is the case for Machine Learning in general, strongly depends on the training examples. In the case of planning, examp...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Minimum volume covering ellipsoid estimation is important in areas such as systems identification, control, video tracking, sensor management, and novelty detection. It is well kno...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Trees provide a suited structural representation to deal with complex tasks such as web information extraction, RNA secondary structure prediction, or conversion of tree structured...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Abstract. A combinatorial random variable is a discrete random variable defined over a combinatorial set (e.g., a power set of a given set). In this paper we introduce combinatoria...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...