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ICANN
2001
Springer
13 years 11 months ago
The Bayesian Committee Support Vector Machine
Empirical evidence indicates that the training time for the support vector machine (SVM) scales to the square of the number of training data points. In this paper, we introduce the...
Anton Schwaighofer, Volker Tresp
ICML
2007
IEEE
14 years 8 months ago
Piecewise pseudolikelihood for efficient training of conditional random fields
Discriminative training of graphical models can be expensive if the variables have large cardinality, even if the graphical structure is tractable. In such cases, pseudolikelihood...
Charles A. Sutton, Andrew McCallum
ICN
2009
Springer
13 years 12 months ago
Trainspotting, a WSN-Based Train Integrity System
In contrast to classic train protection systems where most of the safety measures are built into the rail infrastructure, future versions of the European railway safety system ERT...
Hans Scholten, Roel Westenberg, Manfred Schoemaker
ACL
1996
13 years 8 months ago
Using Parsed Corpora for Structural Disambiguation in the TRAINS Domain
This paper describes a prototype disambiguation module, KANKEI, which was tested on two corpora of the TRAINS project. In ambiguous verb phrases of form V ... NP PP or V ... NP ad...
Mark G. Core
ICPR
2010
IEEE
13 years 9 months ago
Fast Training of Object Detection Using Stochastic Gradient Descent
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
Rob Wijnhoven, Peter H. N. De With