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ICASSP
2008
IEEE
14 years 2 months ago
Referential semantic language modeling for data-poor domains
This paper describes a referential semantic language model that achieves accurate recognition in user-defined domains with no available domain-specific training corpora. This mo...
Stephen Wu, Lane Schwartz, William Schuler
EKNOW
2009
13 years 5 months ago
Visual Middle-Out Modeling of Problem Spaces
Modeling is a complex and central activity in many domains. Domain experts and designers usually work by drawing and create models from the middle-out; however, visual and middle-...
Andrea Valente
AAAI
2011
12 years 7 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
ECAI
2010
Springer
13 years 4 months ago
Adaptive Markov Logic Networks: Learning Statistical Relational Models with Dynamic Parameters
Abstract. Statistical relational models, such as Markov logic networks, seek to compactly describe properties of relational domains by representing general principles about objects...
Dominik Jain, Andreas Barthels, Michael Beetz
INFORMATICALT
2000
114views more  INFORMATICALT 2000»
13 years 7 months ago
The Language-Centric Program Generator Models: 3L Paradigm
Abstract. In this paper we suggest a three-language (3L) paradigm for building the program generator models. The basis of the paradigm is a relationship model of the specification,...
Vytautas Stuikys, Giedrius Ziberkas, Robertas Dama...