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» Learning a Generative Model for Structural Representations
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AI
2006
Springer
13 years 9 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
INCDM
2010
Springer
146views Data Mining» more  INCDM 2010»
14 years 27 days ago
Learning from Humanoid Cartoon Designs
Abstract. Character design is a key ingredient to the success of any comicbook, graphic novel, or animated feature. Artists typically use shape, size and proportion as the first de...
Md. Tanvirul Islam, Kaiser Md. Nahiduzzaman, Why Y...
NIPS
2004
13 years 10 months ago
Integrating Topics and Syntax
Statistical approaches to language learning typically focus on either short-range syntactic dependencies or long-range semantic dependencies between words. We present a generative...
Thomas L. Griffiths, Mark Steyvers, David M. Blei,...
VL
2000
IEEE
118views Visual Languages» more  VL 2000»
14 years 1 months ago
Towards Generic Rule-Based Visual Programming
This paper outlines DIAPLAN, a visual rule-based programming language and environment that is based on the computational model of graph transformation. Thanks to its genericity, D...
Berthold Hoffmann, Mark Minas
SOCIALCOM
2010
13 years 6 months ago
Facilitating Knowledge Exploration in Folksonomies: Expertise Ranking by Link and Semantic Structures
We developed user models of knowledge exploration in a social tagging system to test the expertise rankings generated by a link-structure method and a semantic-structure method. Th...
Wai-Tat Fu, Wei Dong