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IJCAI
1997
15 years 8 months ago
Learning Topological Maps with Weak Local Odometric Information
cal maps provide a useful abstraction for robotic navigation and planning. Although stochastic mapscan theoreticallybe learned using the Baum-Welch algorithm,without strong prior ...
Hagit Shatkay, Leslie Pack Kaelbling
ICDE
2007
IEEE
96views Database» more  ICDE 2007»
15 years 10 months ago
Mining Software Data
Data mining techniques and machine learning methods are commonly used in several disciplines. It is possible that they could also provide a basis for quality assessment of softwar...
Burak Turhan, F. Onur Kutlubay
ECML
2006
Springer
15 years 10 months ago
Variational Bayesian Dirichlet-Multinomial Allocation for Exponential Family Mixtures
Abstract. This paper studies a Bayesian framework for density modeling with mixture of exponential family distributions. Variational Bayesian Dirichlet-Multinomial allocation (VBDM...
Shipeng Yu, Kai Yu, Volker Tresp, Hans-Peter Krieg...
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AIED
2005
Springer
16 years 7 days ago
Automatic Textual Feedback for Guided Inquiry Learning
We briefly introduce the online learning environment INFACT, and then we describe its textual feedback system. The system automatically provides written comments to students as the...
Steven L. Tanimoto, Susan Hubbard, William Winn
ILP
2005
Springer
16 years 5 days ago
Learning Teleoreactive Logic Programs from Problem Solving
In this paper, we focus on the problem of learning reactive skills for use by physical agents. We propose a new representation for such procedures, teleoreactive logic programs, al...
Dongkyu Choi, Pat Langley