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UAI
1998
15 years 5 months ago
A Multivariate Discretization Method for Learning Bayesian Networks from Mixed Data
In this paper we address the problem of discretization in the context of learning Bayesian networks (BNs) from data containing both continuous and discrete variables. We describe ...
Stefano Monti, Gregory F. Cooper
IJCV
2008
266views more  IJCV 2008»
15 years 4 months ago
Learning to Recognize Objects with Little Supervision
This paper shows (i) improvements over state-of-the-art local feature recognition systems, (ii) how to formulate principled models for automatic local feature selection in object c...
Peter Carbonetto, Gyuri Dorkó, Cordelia Sch...
CE
2007
93views more  CE 2007»
15 years 4 months ago
Web3D technologies in learning, education and training
Web3D open standards allow the delivery of interactive 3D virtual learning environments through the Internet, reaching potentially large numbers of learners worldwide, at any time...
Luca Chittaro, Roberto Ranon
IJIM
2007
174views more  IJIM 2007»
15 years 4 months ago
Contextual Mobile Learning: A Step Further to Mastering Professional Appliances
—In this paper we describe our approach whose objective is to apply MOCOCO concepts to e-learning. After a short presentation of MOCOCO (Mobility, COoperation, Contextua-lisation...
Bertrand T. David, René Chalon, Olivier Cha...
JALC
2007
95views more  JALC 2007»
15 years 4 months ago
Learning Regular Tree Languages from Correction and Equivalence Queries
Inspired by the results obtained in the string case, we present in this paper the extension of the correction queries to regular tree languages. Relying on Angluin’s and Sakakib...
Catalin Ionut Tîrnauca, Cristina Tîrna...