Network model

Results: 3864



#Item
81Issues in Iterative TIN Generation to  Support Large Scale Simulations Michael F. Polis*

Issues in Iterative TIN Generation to Support Large Scale Simulations Michael F. Polis*

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Source URL: mapcontext.com

Language: English - Date: 2008-08-29 22:11:58
82Client Name: The Philippine Research, Education, and Government Information Network (PREGINET) School-over-the-Internet Asia (SOI Asia): A Model for the Philippines for Enabling Collaborative Environments Through Researc

Client Name: The Philippine Research, Education, and Government Information Network (PREGINET) School-over-the-Internet Asia (SOI Asia): A Model for the Philippines for Enabling Collaborative Environments Through Researc

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Source URL: www.asti.dost.gov.ph

Language: English - Date: 2014-07-22 03:44:07
83AN INTEGRATED DTM-GIS DATA STRUCTURE:  A RELATIONAL APPROACH by

AN INTEGRATED DTM-GIS DATA STRUCTURE: A RELATIONAL APPROACH by

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Source URL: mapcontext.com

Language: English - Date: 2008-08-29 21:54:47
84Top-down Visual Attention Computational Model Using Visual Feature Distribution of Search Target Toshiya Ohira Takatsugu Hirayama

Top-down Visual Attention Computational Model Using Visual Feature Distribution of Search Target Toshiya Ohira Takatsugu Hirayama

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Source URL: workshops.acin.tuwien.ac.at

Language: English - Date: 2014-03-11 11:44:35
85Towards a Robust Top-Down Model for Valuation of Mining Assets Blanchet, J., Dolan, C., Iyengar, G., and Lall, U. Abstract Our goal is to create a simple, yet robust, statistical model which can be used to

Towards a Robust Top-Down Model for Valuation of Mining Assets Blanchet, J., Dolan, C., Iyengar, G., and Lall, U. Abstract Our goal is to create a simple, yet robust, statistical model which can be used to

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Source URL: water.columbia.edu

Language: English - Date: 2015-11-04 11:08:53
86Regional climate change in London from urbanisation and energy use Report for ARCADIAMark McCarthy, Maggie Hendry, Michael Sanderson

Regional climate change in London from urbanisation and energy use Report for ARCADIAMark McCarthy, Maggie Hendry, Michael Sanderson

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Source URL: www.arcc-network.org.uk

Language: English - Date: 2015-08-28 12:27:49
87Visualizing and Understanding Neural Models in NLP Jiwei Li1 , Xinlei Chen2 , Eduard Hovy2 and Dan Jurafsky1 1 Computer Science Department, Stanford University, Stanford, CA 94305, USA Technology Institute, Carnegie Mell

Visualizing and Understanding Neural Models in NLP Jiwei Li1 , Xinlei Chen2 , Eduard Hovy2 and Dan Jurafsky1 1 Computer Science Department, Stanford University, Stanford, CA 94305, USA Technology Institute, Carnegie Mell

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Source URL: web.stanford.edu

Language: English - Date: 2016-06-08 15:36:19
88Variational Bayesian Learning of Cooperative Vector Quantizer Model - The Theory  

Variational Bayesian Learning of Cooperative Vector Quantizer Model - The Theory  

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Source URL: people.cs.pitt.edu

Language: English - Date: 2003-05-06 15:46:12
89A Neural Click Model for Web Search Alexey Borisov†, ‡ Ilya Markov‡ Maarten de Rijke‡ Pavel Serdyukov†

A Neural Click Model for Web Search Alexey Borisov†, ‡ Ilya Markov‡ Maarten de Rijke‡ Pavel Serdyukov†

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Source URL: staff.fnwi.uva.nl

Language: English - Date: 2016-05-08 14:58:20
90SAT-LHUC: SPEAKER ADAPTIVE TRAINING FOR LEARNING HIDDEN UNIT CONTRIBUTIONS Pawel Swietojanski and Steve Renals The Centre for Speech Technology Research, University of Edinburgh {p.swietojanski, s.renals}@ed.ac.uk

SAT-LHUC: SPEAKER ADAPTIVE TRAINING FOR LEARNING HIDDEN UNIT CONTRIBUTIONS Pawel Swietojanski and Steve Renals The Centre for Speech Technology Research, University of Edinburgh {p.swietojanski, s.renals}@ed.ac.uk

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Source URL: homepages.inf.ed.ac.uk

Language: English - Date: 2016-01-18 16:34:00