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» Learning Rule Representations from Boolean Data
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119
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NIPS
2007
15 years 2 months ago
Sparse Feature Learning for Deep Belief Networks
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...
Marc'Aurelio Ranzato, Y-Lan Boureau, Yann LeCun
NIPS
2000
15 years 1 months ago
Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...
138
Voted
MCS
2009
Springer
15 years 7 months ago
True Path Rule Hierarchical Ensembles
Abstract. Hierarchical classification problems gained increasing attention within the machine learning community, and several methods for hierarchically structured taxonomies have...
Giorgio Valentini
119
Voted
AISS
2010
171views more  AISS 2010»
14 years 7 months ago
An Investigation into Influence Factor of Student Programming Grade Using Association Rule Mining
Computer programming is one of the most essential skills which each graduate has to acquire. However, there are reports that they are unable to write a program well. Researches in...
Mohamad Farhan Mohamad Mohsin, Mohd Helmy Abd Waha...
ICML
2002
IEEE
16 years 1 months ago
IEMS - The Intelligent Email Sorter
Classification of email is an important everyday task for a large and growing number of users. This paper describes the machine learning approaches underlying the i-ems (Intellige...
Elisabeth Crawford, Judy Kay, Eric McCreath