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» Approximation Spaces in Machine Learning and Pattern Recogni...
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105
Voted
ICML
1999
IEEE
16 years 1 months ago
Machine-Learning Applications of Algorithmic Randomness
Most machine learning algorithms share the following drawback: they only output bare predictions but not the con dence in those predictions. In the 1960s algorithmic information t...
Volodya Vovk, Alexander Gammerman, Craig Saunders
73
Voted
MLDM
2001
Springer
15 years 5 months ago
First-Order Rule Induction for the Recognition of Morphological Patterns in Topographic Maps
Donato Malerba, Floriana Esposito, Antonietta Lanz...
131
Voted
CIARP
2010
Springer
14 years 10 months ago
A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...
Emanuele Frandi, Maria Grazia Gasparo, Stefano Lod...
128
Voted
ISVC
2010
Springer
14 years 11 months ago
Automatic Learning of Gesture Recognition Model Using SOM and SVM
In this paper, we propose an automatic learning method for gesture recognition. We combine two different pattern recognition techniques: the SelfOrganizing Map (SOM) and Support Ve...
Masaki Oshita, Takefumi Matsunaga
116
Voted
ICML
2010
IEEE
15 years 2 months ago
Learning Fast Approximations of Sparse Coding
In Sparse Coding (SC), input vectors are reconstructed using a sparse linear combination of basis vectors. SC has become a popular method for extracting features from data. For a ...
Karol Gregor, Yann LeCun