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112
Voted
NIPS
2003
15 years 1 months ago
2003
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
122
Voted
MVA
1996
15 years 1 months ago
1996
An adaptive object recognition scheme for image sequences of many object scenes is described. The scheme is applied for t r d c object recognition under ego-motion. The recursive ...
114
Voted
NIPS
1993
15 years 1 months ago
1993
We describe an extension to the Mixture of Experts architecture for modelling and controlling dynamical systems which exhibit multiple modesof behavior. This extension is based on...
87
Voted
NIPS
1990
15 years 1 months ago
1990
This paper explores the effect of initial weight selection on feed-forward networks learning simple functions with the back-propagation technique. We first demonstrate, through th...
102
Voted
SIGCSE
2002
ACM
15 years 7 days ago
2002
ACM
Case studies are widely used in business and medicine to help students learn from the successes and failures of practitioners in the field. This paper discusses the potential bene...