Generalization error

Results: 82



#Item
41Nonlinear Estimation and Classification, Springer, The Boosting Approach to Machine Learning An Overview Robert E. Schapire AT&T Labs Research

Nonlinear Estimation and Classification, Springer, The Boosting Approach to Machine Learning An Overview Robert E. Schapire AT&T Labs Research

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Source URL: www.lira.dist.unige.it

Language: English - Date: 2011-12-08 18:16:11
42Artificial Neural Networks Examination, March 2001 Instructions For each question, please select a maximum of ONE of the given answers (either A, B, C, D or E). You should select the one answer that represents the BEST p

Artificial Neural Networks Examination, March 2001 Instructions For each question, please select a maximum of ONE of the given answers (either A, B, C, D or E). You should select the one answer that represents the BEST p

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Source URL: aass.oru.se

Language: English - Date: 2004-06-07 09:38:12
43Artificial Neural Networks Examination, June/August 2003 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The to

Artificial Neural Networks Examination, June/August 2003 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The to

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Source URL: aass.oru.se

Language: English - Date: 2004-06-07 09:38:12
44Artificial Neural Networks Examination, June 2005 Instructions There are SIXTY questions. (The pass mark is 30 out of 60). For each question, please select a maximum of ONE of the given answers (either A, B, C, D or E).

Artificial Neural Networks Examination, June 2005 Instructions There are SIXTY questions. (The pass mark is 30 out of 60). For each question, please select a maximum of ONE of the given answers (either A, B, C, D or E).

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Source URL: aass.oru.se

Language: English - Date: 2005-06-05 12:55:59
45Artificial Neural Networks Examination, March 2005 Instructions There are SIXTY questions. (The pass mark is 30 out of 60.) For each question, please select a maximum of ONE of the given answers (either A, B, C, D or E).

Artificial Neural Networks Examination, March 2005 Instructions There are SIXTY questions. (The pass mark is 30 out of 60.) For each question, please select a maximum of ONE of the given answers (either A, B, C, D or E).

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Source URL: aass.oru.se

Language: English - Date: 2005-03-21 10:47:39
46Artificial Neural Networks Examination, March 2004 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The total pa

Artificial Neural Networks Examination, March 2004 Instructions There are SIXTY questions (worth up to 60 marks). The exam mark (maximum 60) will be added to the mark obtained in the laborations (maximum 5). The total pa

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Source URL: aass.oru.se

Language: English - Date: 2004-06-07 09:38:12
47M ODEL S ELECTION AND R EGULARIZATION PARAMETER C HOICE R EGULARIZATION M ETHODS FOR H IGH D IMENSIONAL L EARNING Francesca Odone and Lorenzo Rosasco  -

M ODEL S ELECTION AND R EGULARIZATION PARAMETER C HOICE R EGULARIZATION M ETHODS FOR H IGH D IMENSIONAL L EARNING Francesca Odone and Lorenzo Rosasco -

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Source URL: lcsl.mit.edu

Language: English - Date: 2014-07-02 03:10:16
48Neuroscience / Science / Modular neural networks / Backpropagation / Modularity / Connectionism / Retina / Brain / Generalization error / Neural networks / Computational neuroscience / Cybernetics

3 Neural Systems and Artificial Life Group, Institute of Cognitive Sciences and Technologies National Research Council, Rome

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Source URL: laral.istc.cnr.it

Language: English - Date: 2013-07-02 08:15:26
49NAVAL POSTGRADUATE SCHOOL Monterey, California THESIS FORECASTING FINANCIAL MARKETS USING NEURAL NETWORKS: AN ANALYSIS

NAVAL POSTGRADUATE SCHOOL Monterey, California THESIS FORECASTING FINANCIAL MARKETS USING NEURAL NETWORKS: AN ANALYSIS

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Source URL: www.smartquant.com

Language: English - Date: 2014-02-08 06:27:39
50From: AAAI-99 Proceedings. Copyright © 1999, AAAI (www.aaai.org). All rights reserved.  Estimating Generalization Error Using Out-of-Bag Estimates Tom Bylander and Dennis Hanzlik Division of Computer Science University

From: AAAI-99 Proceedings. Copyright © 1999, AAAI (www.aaai.org). All rights reserved. Estimating Generalization Error Using Out-of-Bag Estimates Tom Bylander and Dennis Hanzlik Division of Computer Science University

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Source URL: www.aaai.org

Language: English - Date: 2006-01-10 21:55:34