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ICML
2005
IEEE
16 years 5 months ago
Preference learning with Gaussian processes
In this paper, we propose a probabilistic kernel approach to preference learning based on Gaussian processes. A new likelihood function is proposed to capture the preference relat...
Wei Chu, Zoubin Ghahramani
165
Voted
IEAAIE
2005
Springer
15 years 10 months ago
Discovering Learning Paths on a Domain Ontology Using Natural Language Interaction
The present work investigates the problem of determining a learning path inside a suitable domain ontology. The proposed approach enables the user of a web learning application to ...
Roberto Pirrone, Massimo Cossentino, Giovanni Pila...
156
Voted
ICGI
2004
Springer
15 years 10 months ago
Partial Learning Using Link Grammars Data
Abstract. Kanazawa has shown that several non-trivial classes of categorial grammars are learnable in Gold’s model. We propose in this article to adapt this kind of symbolic lear...
Erwan Moreau
DIS
1998
Springer
15 years 9 months ago
Learning with Globally Predictive Tests
We introduce a new bias for rule learning systems. The bias only allows a rule learner to create a rule that predicts class membership if each test of the rule in isolation is pred...
Michael J. Pazzani
ECTEL
2006
Springer
15 years 8 months ago
Socially-Aware Informal Learning Support: Potentials and Challenges of the Social Dimension
With increasingly conceiving learning as a social activity, technological support must become more aware of the social context of the individual in order to be able to provide adeq...
Simone Braun, Andreas Schmidt