4930 search results - page 92 / 986 » Learning minimal abstractions |
105
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ML
2006
ACM
15 years 17 days ago
2006
ACM
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
90
Voted
ICML
2008
IEEE
16 years 1 months ago
2008
IEEE
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
105
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CORR
2006
Springer
15 years 19 days ago
2006
Springer
We present a novel approach to semisupervised learning which is based on statistical physics. Most of the former work in the field of semi-supervised learning classifies the point...
70
Voted
BMCBI
2008
15 years 22 days ago
2008
Background: By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Na
84
Voted
NAACL
2003
15 years 2 months ago
2003
We describe a simple unsupervised technique for learning morphology by identifying hubs in an automaton. For our purposes, a hub is a node in a graph with in-degree greater than o...