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Generalization
Results: 621

#	Item
331	Generalization of Cadastral CHanges Jan Kloster Staunstrup Geographic Information and Media Technology Aalborg University Fibigerstræde 11, 9220 Aalborg Ø, Denmark Add to Reading List Source URL: itcnt05.itc.nl Language: English - Date: 2005-02-02 17:00:00 Geography Science Spatial analysis Cartographic generalization Data model Georeference IGN France International ILWIS Geographic information systems Cartography Statistics
332	Optim Lett:287–295 DOIs11590ORIGINAL PAPER A generalization of the Motzkin–Straus theorem to hypergraphs Add to Reading List Source URL: www.dsi.unive.it Language: English - Date: 2010-08-27 12:14:22 Clique Extremal graph theory Hypergraph Degree Line graph Graph structure theorem Graph theory NP-complete problems Graph operations
333	Flavors of v in the Agent/ECM Correlation Based on the contrast between the believe-class and the wager-class verbs, Pesetskymakes a generalization that agentive verbs do not allow ECM (the Agent/ECM Correlation) Add to Reading List Source URL: eastcoastfive.files.wordpress.com Language: English - Date: 2015-03-24 10:47:14 Music industry Exceptional case-marking Verb argument ECM Records
334	INTERPROCESSOR COMMUNICATION SEEN AS LOAD-STORE INSTRUCTION GENERALIZATION Manolis G.H. Katevenis† Institute of Computer Science, Foundation for Research and Technology - Hellas (FORTH-ICS), Vassilika Vouton, Heraklion Add to Reading List Source URL: www.ics.forth.gr Language: English - Date: 2013-12-23 07:16:59 Computer architecture CPU cache Scratchpad memory Direct memory access Multi-core processor Cell Remote direct memory access Cache Scheduling Computer hardware Computing Computer memory
335	Analytical Cartography: Past, Present, and Future Harold Moellering Dept. of Geography Ohio State University 1036 Derby Hall Columbus, OH Add to Reading List Source URL: itcnt05.itc.nl Language: English - Date: 2005-02-02 17:00:00 Science Geodesy Physical geography Geostatistics Spatial analysis Spatial data analysis Field Geographic information system Cartographic generalization Cartography Geography Statistics
336	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 Add to Reading List Source URL: aass.oru.se Language: English - Date: 2004-06-07 09:38:12 Science Feedforward neural network Perceptron Artificial neural network Generalization error Backpropagation Hopfield network Supervised learning Pattern recognition Neural networks Machine learning Cybernetics
337	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 Add to Reading List Source URL: aass.oru.se Language: English - Date: 2004-06-07 09:38:12 Statistics Perceptron Artificial neural network Multilayer perceptron Generalization error Backpropagation Supervised learning Statistical classification Pattern recognition Neural networks Machine learning Cybernetics
338	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). Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-06-05 12:55:59 Artificial intelligence Perceptron Artificial neural network Feedforward neural network Multilayer perceptron Backpropagation Generalization error Statistical classification ADALINE Neural networks Cybernetics Science
339	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). Add to Reading List Source URL: aass.oru.se Language: English - Date: 2005-03-21 10:47:39 Learning Artificial neuron Artificial neural network Perceptron Generalization error Statistical classification Supervised learning Multilayer perceptron Activation function Neural networks Cybernetics Artificial intelligence
340	Natural Methods for Robot Task Learning: Instructive Demonstrations, Generalization and Practice Monica N. Nicolescu and Maja J. Matari´c monica Add to Reading List Source URL: cres.usc.edu Language: English - Date: 2002-11-12 14:35:44 Mobile robot Machine learning Behavior Artificial intelligence Education Learning Robot Cognitive robotics

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