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SETN
2004
Springer
15 years 7 months ago
Taxonomy-Based Annotation of XML Documents: Application to eLearning Resources
In this paper we propose an automatic mechanism for annotating XML documents. This mechanism relies on a simple data model whose main features are: (1) a modeling of XML documents ...
Birahim Gueye, Philippe Rigaux, Nicolas Spyratos
ICPR
2010
IEEE
15 years 3 months ago
Learning Probabilistic Models of Contours
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
Laure Amate, Maria João Rendas
117
Voted
UAI
2008
15 years 3 months ago
Learning Inclusion-Optimal Chordal Graphs
Chordal graphs can be used to encode dependency models that are representable by both directed acyclic and undirected graphs. This paper discusses a very simple and efficient algo...
Vincent Auvray, Louis Wehenkel
NIPS
1998
15 years 3 months ago
Learning a Continuous Hidden Variable Model for Binary Data
A directed generative model for binary data using a small number of hidden continuous units is investigated. A clipping nonlinearity distinguishes the model from conventional prin...
Daniel D. Lee, Haim Sompolinsky
CCR
2006
114views more  CCR 2006»
15 years 1 months ago
A preliminary performance comparison of five machine learning algorithms for practical IP traffic flow classification
The identification of network applications through observation of associated packet traffic flows is vital to the areas of network management and surveillance. Currently popular m...
Nigel Williams, Sebastian Zander, Grenville J. Arm...