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ICALT
2006
IEEE
16 years 1 months ago
Learning about and through Empirical Modelling
Empirical Modelling is a body of principles and tools that has been developed for the construction of interactive environments. Our previous research has indicated respects in whi...
Russell Boyatt, Antony Harfield, Meurig Beynon
ICCBR
2005
Springer
16 years 22 days ago
Learning Semantic Annotations for Textual Cases
Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine le...
Eni Mustafaraj, Martin Hoof, Bernd Freisleben
COLT
2003
Springer
16 years 13 days ago
Learning Random Log-Depth Decision Trees under the Uniform Distribution
We consider three natural models of random logarithmic depth decision trees over Boolean variables. We give an efficient algorithm that for each of these models learns all but an ...
Jeffrey C. Jackson, Rocco A. Servedio
ACL
2007
15 years 8 months ago
Grammar Approximation by Representative Sublanguage: A New Model for Language Learning
We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic ...
Smaranda Muresan, Owen Rambow
AAAI
2004
15 years 8 months ago
On the Integration of Grounding Language and Learning Objects
This paper presents a multimodal learning system that can ground spoken names of objects in their physical referents and learn to recognize those objects simultaneously from natur...
Chen Yu, Dana H. Ballard