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KDD
1999
ACM
152views Data Mining» more  KDD 1999»
15 years 12 months ago
Applying General Bayesian Techniques to Improve TAN Induction
Tree Augmented Naive Bayes (TAN) has shown to be competitive with state-of-the-art machine learning algorithms [3]. However, the TAN induction algorithm that appears in [3] can be...
Jesús Cerquides
NIPS
1990
15 years 8 months ago
Convergence of a Neural Network Classifier
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
John S. Baras, Anthony LaVigna
IAT
2006
IEEE
16 years 1 months ago
Ontology-Based Content Management and Access Framework for Supporting E-Learning Systems
E-Learning is a fast, just-in-time, and non-linear learning process, which is now widely applied in distributed and dynamic environments such as on the World Wide Web. However, it...
Ming Mao, Yefei Peng, Daqing He
AI50
2006
15 years 11 months ago
Intrinsically Motivated Machines
Abstract. Children seem intrinsically motivated to manipulate, to explore, to test, to learn and they look for activities and situations that provide such learning opportunities. I...
Frédéric Kaplan, Pierre-Yves Oudeyer
UAI
1998
15 years 9 months ago
The Bayesian Structural EM Algorithm
In recent years there has been a flurry of works on learning Bayesian networks from data. One of the hard problems in this area is how to effectively learn the structure of a beli...
Nir Friedman