Artificial neural network

Results: 1863



#Item
821Nonlinear Principal Component Analysis of Climate Data by Sailes K. Sengupta and James S. Boyle Program for Climate Model Diagnosis and Intercomparison Lawrence Livermore National Laboratory Livermore, CA USA

Nonlinear Principal Component Analysis of Climate Data by Sailes K. Sengupta and James S. Boyle Program for Climate Model Diagnosis and Intercomparison Lawrence Livermore National Laboratory Livermore, CA USA

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Source URL: www-pcmdi.llnl.gov

Language: English - Date: 2004-11-11 17:46:48
822Artificial 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
823Ethology / Open problems / Philosophy of artificial intelligence / Computational linguistics / Artificial intelligence / Cybernetics / Intelligence / Question answering / Neural network / Science / Computational neuroscience / Knowledge

Facebook artificial intelligence team serves up 20 tasks

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Source URL: techxplore.com

Language: English - Date: 2015-05-03 10:50:38
824Artificial Neural Networks – Lab 3 Simple neuron models and learning algorithms Purpose To study some basic neuron models and learning algorithms by using Matlab’s neural network toolbox.

Artificial Neural Networks – Lab 3 Simple neuron models and learning algorithms Purpose To study some basic neuron models and learning algorithms by using Matlab’s neural network toolbox.

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Source URL: aass.oru.se

Language: English - Date: 2005-02-08 05:38:24
825Detecting Anomalous Longitudinal Associations through Higher Order Mining∗ Liang Ping and John F. Roddick School of Computer Science, Engineering and Mathematics, Flinders University, PO Box 2100, Adelaide,

Detecting Anomalous Longitudinal Associations through Higher Order Mining∗ Liang Ping and John F. Roddick School of Computer Science, Engineering and Mathematics, Flinders University, PO Box 2100, Adelaide,

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Source URL: crpit.com

Language: English - Date: 2012-01-19 01:28:42
826Agent Building and Learning Environment  Outline

Agent Building and Learning Environment Outline

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Source URL: aass.oru.se

Language: English - Date: 2005-06-02 10:24:12
827Artificial Neural Networks Examination, March 2002 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 2002 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
828Instance Based Learning Read Ch. 8]  -Nearest Neighbor  Locally weighted regression  Radial basis functions  Case-based reasoning

Instance Based Learning Read Ch. 8]  -Nearest Neighbor  Locally weighted regression  Radial basis functions  Case-based reasoning

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Source URL: aass.oru.se

Language: English - Date: 2005-03-31 12:57:43
829Artificial 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
830Artificial 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