Post-training discriminative pruning for RBMs

Author:

Sánchez-Gutiérrez MáximoORCID,Albornoz Enrique M.,Rufiner Hugo L.,Close John Goddard

Funder

CONACyT

PACT, CAI+D, PRODACT

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Reference55 articles.

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2. Albornoz EM, Sánchez-Gutiérrez M, Martinez-Licona F, Rufiner HL, Goddard J (2014) Spoken emotion recognition using deep learning. Springer, Berlin

3. Atwood J, Towsley D, Gile K, Jensen DD (2014) Learning to generate networks. In: Networks: from graphs to rich data, NIPS 2014 Workshop, Montreal

4. Bengio Y (2009) Learning deep architectures for AI. Found Trends Mach Learn 2(1):1–127

5. Berglund M, Raiko T, Cho K (2015) Measuring the usefulness of hidden units in Boltzmann machines with mutual information. Neural Netw 64:12–18

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