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» An Open Model for Learning Path Construction
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IJPRAI
2008
144views more  IJPRAI 2008»
14 years 9 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
UAI
1997
14 years 11 months ago
Sequential Update of Bayesian Network Structure
There is an obvious need for improving the performance and accuracy of a Bayesian network as new data is observed. Because of errors in model construction and changes in the dynam...
Nir Friedman, Moisés Goldszmidt
IJCNN
2007
IEEE
15 years 3 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
BMCBI
2010
229views more  BMCBI 2010»
14 years 9 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
ENVSOFT
2006
144views more  ENVSOFT 2006»
14 years 9 months ago
Ten iterative steps in development and evaluation of environmental models
Models are increasingly being relied upon to inform and support natural resource management. They are incorporating an ever broader range of disciplines and now often confront peo...
Anthony J. Jakeman, Rebecca A. Letcher, John P. No...