Computational model

Results: 4679



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314.2   Neuromorphic Architectures for Spiking Deep Neural Networks

4.2 Neuromorphic Architectures for Spiking Deep Neural Networks

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Source URL: ncs.ethz.ch

Language: English - Date: 2016-01-10 15:53:18
32arXiv:1505.04514v1 [cs.DC] 18 MayA Local Broadcast Layer for the SINR Network Model Magn´ us M. Halld´orsson∗

arXiv:1505.04514v1 [cs.DC] 18 MayA Local Broadcast Layer for the SINR Network Model Magn´ us M. Halld´orsson∗

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Source URL: arxiv.org

Language: English - Date: 2015-05-18 20:53:11
335A.5	 Examining	the	response	of	tropical	cyclone	characteristics	to	projected		 	 climate	change	in	northeast	Australia	through	WRF	simulations	and	Pseudo Global	Warming	Technique.

5A.5 Examining the response of tropical cyclone characteristics to projected climate change in northeast Australia through WRF simulations and Pseudo Global Warming Technique.

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Source URL: www2.mmm.ucar.edu

Language: English - Date: 2016-06-16 12:19:59
34STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom In this paper,

STRUCTURED DISCRIMINATIVE MODELS USING DEEP NEURAL-NETWORK FEATURES R. C. van Dalen, J. Yang, H. Wang, A. Ragni, C. Zhang, M. J. F. Gales Department of Engineering, University of Cambridge, United Kingdom In this paper,

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Source URL: mi.eng.cam.ac.uk

Language: English - Date: 2016-03-11 05:30:19
35The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources Keith Vertanen Department of Computer Science Princeton University

The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources Keith Vertanen Department of Computer Science Princeton University

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Source URL: www.keithv.com

Language: English - Date: 2011-07-24 21:23:37
36Aligning protein sequences with predicted secondary structure John Kececioglu∗ Eagu Kim†

Aligning protein sequences with predicted secondary structure John Kececioglu∗ Eagu Kim†

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Source URL: www.cs.arizona.edu

Language: English - Date: 2010-03-22 00:58:21
37DEEP NEURAL NETWORKS EMPLOYING MULTI-TASK LEARNING AND STACKED BOTTLENECK FEATURES FOR SPEECH SYNTHESIS Zhizheng Wu Cassia Valentini-Botinhao

DEEP NEURAL NETWORKS EMPLOYING MULTI-TASK LEARNING AND STACKED BOTTLENECK FEATURES FOR SPEECH SYNTHESIS Zhizheng Wu Cassia Valentini-Botinhao

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Source URL: www.cstr.inf.ed.ac.uk

Language: English - Date: 2015-09-29 11:06:25
38Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora 
Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora

Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora

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Source URL: pars.ie

Language: English - Date: 2015-09-10 14:28:49
39Model-Free Imitation Learning with Policy Optimization  Jonathan Ho Jayesh K. Gupta Stefano Ermon Stanford University

Model-Free Imitation Learning with Policy Optimization Jonathan Ho Jayesh K. Gupta Stefano Ermon Stanford University

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Source URL: jmlr.org

Language: English - Date: 2016-07-20 01:41:08
40LETTER  Communicated by Friedrich Sommer A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity

LETTER Communicated by Friedrich Sommer A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity

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Source URL: fias.uni-frankfurt.de

Language: English - Date: 2008-09-09 03:37:37