Computational statistics

Results: 2978



#Item
41Unsupervised Image Embedding Using Nonparametric Statistics Guobiao Mei University of California, Riverside   Abstract

Unsupervised Image Embedding Using Nonparametric Statistics Guobiao Mei University of California, Riverside Abstract

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Source URL: rlair.cs.ucr.edu

Language: English - Date: 2011-01-19 19:25:19
42Genome Informatics 11: 151–Clustering and Averaging of Images in Single-Particle Analysis

Genome Informatics 11: 151–Clustering and Averaging of Images in Single-Particle Analysis

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Source URL: www.jsbi.org

Language: English - Date: 2001-02-21 03:45:32
43Visualizing 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
44A Variational Analysis of Stochastic Gradient Algorithms  Stephan Mandt Columbia University, Data Science Institute, New York, USA  SM 3976@ COLUMBIA . EDU

A Variational Analysis of Stochastic Gradient Algorithms Stephan Mandt Columbia University, Data Science Institute, New York, USA SM 3976@ COLUMBIA . EDU

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Source URL: jmlr.org

Language: English - Date: 2016-07-20 01:41:10
45Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗   Princeton University, Computer Science Department

Simple, Efficient, and Neural Algorithms for Sparse Coding Sanjeev Arora∗ Princeton University, Computer Science Department

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Source URL: jmlr.org

Language: English - Date: 2015-07-20 20:08:35
46Learning Simple Statistics for Language Comprehension and Production: The CAPPUCCINO Model Stewart M. McCauley () Morten H. Christiansen () Department of Psychology, Cornell Univ

Learning Simple Statistics for Language Comprehension and Production: The CAPPUCCINO Model Stewart M. McCauley () Morten H. Christiansen () Department of Psychology, Cornell Univ

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Source URL: cnl.psych.cornell.edu

Language: English - Date: 2013-07-27 10:00:13
47Proposal for a tutorial at IJCNN’14  Prototype based methods: Mathematical foundations, interpretability, and data visualization Organizer

Proposal for a tutorial at IJCNN’14 Prototype based methods: Mathematical foundations, interpretability, and data visualization Organizer

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Source URL: www.conference123.org

Language: English - Date: 2014-07-16 23:21:33
484400 University Drive MS#4A5 Fairfax, VAUSA http://cs.gmu.eduDepartment of Computer Science

4400 University Drive MS#4A5 Fairfax, VAUSA http://cs.gmu.eduDepartment of Computer Science

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Source URL: cs.gmu.edu

Language: English - Date: 2005-02-21 13:23:30
49Wrangling Phosphoproteomic Data to Elucidate Cancer Signaling Pathways Mark L. Grimes1*, Wan-Jui Lee2, Laurens van der Maaten2, Paul Shannon3 1 Division of Biological Sciences, University of Montana, Missoula, Montana, U

Wrangling Phosphoproteomic Data to Elucidate Cancer Signaling Pathways Mark L. Grimes1*, Wan-Jui Lee2, Laurens van der Maaten2, Paul Shannon3 1 Division of Biological Sciences, University of Montana, Missoula, Montana, U

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Source URL: lvdmaaten.github.io

Language: English - Date: 2016-07-16 15:30:43
50Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science

Simplified Rules and Theoretical Analysis for Information Bottleneck Optimization and PCA with Spiking Neurons Lars Buesing, Wolfgang Maass Institute for Theoretical Computer Science

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Source URL: www.gatsby.ucl.ac.uk

Language: English - Date: 2014-10-13 19:51:13