3694 search results - page 165 / 739 » Stochastic complexity in learning |
NIPS
2007
14 years 11 months ago
2007
Unsupervised learning algorithms aim to discover the structure hidden in the data, and to learn representations that are more suitable as input to a supervised machine than the ra...
JMLR
2010
14 years 8 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
JMLR
2012
13 years 16 days ago
2012
We transform the outputs of each hidden neuron in a multi-layer perceptron network to have zero output and zero slope on average, and use separate shortcut connections to model th...
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PROPOR
2010
Springer
15 years 5 months ago
2010
Springer
We address the problem of simplifying Portuguese texts at the sentence level treating it as a "translation task". We use the Statistical Machine Translation (SMT) framewo...
ILP
2003
Springer
15 years 3 months ago
2003
Springer
We study several complexity parameters for first order formulas and their suitability for first order learning models. We show that the standard notion of size is not captured by...