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ICML
2009
IEEE
16 years 8 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
COCO
2001
Springer
149views Algorithms» more  COCO 2001»
16 years 3 days ago
Quantum versus Classical Learnability
Motivated by recent work on quantum black-box query complexity, we consider quantum versions of two wellstudied models of learning Boolean functions: Angluin’s model of exact le...
Rocco A. Servedio, Steven J. Gortler
CAEPIA
2007
Springer
16 years 1 months ago
Knowledge Engineering and Planning for the Automated Synthesis of Customized Learning Designs
This paper describes an approach to automatically obtain an HTN planning domain from a well structured learning objects repository and also to apply an HTN planner to obtain IMS Le...
Luis A. Castillo, Lluvia Morales, Arturo Gonz&aacu...
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 1 months 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