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» Map Labeling and Its Generalizations
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NIPS
2001
13 years 10 months ago
Grammatical Bigrams
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
Mark A. Paskin
KI
2007
Springer
14 years 3 months ago
Relational Neural Gas
Abstract. Prototype-based clustering algorithms such as the Self Organizing Map (SOM) or Neural Gas (NG) offer powerful tools for automated data inspection. The distribution of pr...
Barbara Hammer, Alexander Hasenfuss
ISCIS
2009
Springer
14 years 3 months ago
Unsupervised learning of affordance relations on a humanoid robot
—In this paper, we study how a humanoid robot can learn affordance relations in his environment through its own interactions in an unsupervised way. Specifically, we developed a...
Baris Akgun, Nilgun Dag, Tahir Bilal, Ilkay Atil, ...
TACAS
1997
Springer
146views Algorithms» more  TACAS 1997»
14 years 1 months ago
Compositional State Space Generation from Lotos Programs
This paper describes a compositional approach to generate the labeled transition system representing the behavior of a Lotos program by repeatedly alternating composition and reduc...
Jean-Pierre Krimm, Laurent Mounier
SPLC
2008
13 years 10 months ago
Formal Modeling for Product Families Engineering
In this paper we propose a behavioural model, namely the Generalized Extended Modal Transition Systems, as a basis for the formalization of different notions of variability usuall...
Alessandro Fantechi, Stefania Gnesi