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» Learning Compositional Categorization Models
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ICWS
2004
IEEE
13 years 9 months ago
Dynamic Workflow Composition using Markov Decision Processes
The advent of Web services has made automated workflow composition relevant to Web based applications. One technique that has received some attention, for automatically composing ...
Prashant Doshi, Richard Goodwin, Rama Akkiraju, Ku...
ICML
2009
IEEE
14 years 8 months ago
MedLDA: maximum margin supervised topic models for regression and classification
Supervised topic models utilize document's side information for discovering predictive low dimensional representations of documents; and existing models apply likelihoodbased...
Jun Zhu, Amr Ahmed, Eric P. Xing
ICGI
1998
Springer
13 years 11 months ago
Meaning Helps Learning Syntax
In this paper, we propose a new framework for the computational learning of formal grammars with positive data. In this model, both syntactic and semantic information are taken int...
Isabelle Tellier
SARA
2005
Springer
14 years 1 months ago
The Cruncher: Automatic Concept Formation Using Minimum Description Length
Abstract. We present The Cruncher, a simple representation framework and algorithm based on minimum description length for automatically forming an ontology of concepts from attrib...
Marc Pickett, Tim Oates
ICONIP
2004
13 years 9 months ago
A Connectionist Account of Ontological Boundary Shifting
Previous research on children's categorizations has suggested that children use perceptual and conceptual knowledge to generalize object names. Especially, the relation betwee...
Shohei Hidaka, Jun Saiki