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NIPS
2003
13 years 11 months ago
Approximate Expectation Maximization
We discuss the integration of the expectation-maximization (EM) algorithm for maximum likelihood learning of Bayesian networks with belief propagation algorithms for approximate i...
Tom Heskes, Onno Zoeter, Wim Wiegerinck
MVA
1996
167views Computer Vision» more  MVA 1996»
13 years 11 months ago
Applying a Dynamic Recognition Scheme for Vehicle Recognition in Many Object Traffic Scenes
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 ...
Wlodzimierz Kasprzak, Heinrich Niemann
NIPS
1993
13 years 11 months ago
Mixtures of Controllers for Jump Linear and Non-Linear Plants
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...
Timothy W. Cacciatore, Steven J. Nowlan
NIPS
1990
13 years 11 months ago
Back Propagation is Sensitive to Initial Conditions
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...
John F. Kolen, Jordan B. Pollack
SIGCSE
2002
ACM
131views Education» more  SIGCSE 2002»
13 years 10 months ago
Integrating a simulation case study into CS2: developing design, empirical and analysis skills
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...
Kay A. Robbins, Catherine Sauls Key, Keith Dickins...