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2011
Springer
9 years 10 months ago
On the Expressive Power of Deep Architectures
Deep architectures are families of functions corresponding to deep circuits. Deep Learning algorithms are based on parametrizing such circuits and tuning their parameters so as to ...
Yoshua Bengio, Olivier Delalleau
ML
2011
ACM
308views Machine Learning» more  ML 2011»
10 years 4 months ago
Relational information gain
Abstract. Type Extension Trees (TET) have been recently introduced as an expressive representation language allowing to encode complex combinatorial features of relational entities...
Marco Lippi, Manfred Jaeger, Paolo Frasconi, Andre...
ML
2011
ACM
307views Machine Learning» more  ML 2011»
10 years 5 months ago
Editorial survey: swarm intelligence for data mining
David Martens, Bart Baesens, Tom Fawcett
Machine Learning
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