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134
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ML
2002
ACM
140views Machine Learning» more  ML 2002»
15 years 2 months ago
A Probabilistic Framework for SVM Regression and Error Bar Estimation
In this paper, we elaborate on the well-known relationship between Gaussian Processes (GP) and Support Vector Machines (SVM) under some convex assumptions for the loss functions. ...
Junbin Gao, Steve R. Gunn, Chris J. Harris, Martin...
108
Voted
EDUTAINMENT
2009
Springer
15 years 9 months ago
Little Big Difference: Gender Aspects and Gender-Based Adaptation in Educational Games
Computer games are tremendously successful and this is why the potential of using this medium for educational purposes is increasingly recognized and researched. However, as new le...
Christina M. Steiner, Michael D. Kickmeier-Rust, D...
ICALT
2008
IEEE
15 years 9 months ago
Learning Application Suite Creating and Playing SCORM Compatible Web and Computer Based Training
In the process of developing Web Based Training (WBT) applications, the Sharable Content Object Reference Model (SCORM) has become the most common eLearning standard making it pos...
Marco Nordmann, Jens Neumann
137
Voted
ICDM
2006
IEEE
119views Data Mining» more  ICDM 2006»
15 years 8 months ago
Fast On-line Kernel Learning for Trees
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
129
Voted
ICML
2003
IEEE
16 years 3 months ago
Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky