961![ARTIFICIAL NEURAL NETWORKS AND CRIME MAPPING by Andreas M. Olligschlaeger Carnegie Mellon University ARTIFICIAL NEURAL NETWORKS AND CRIME MAPPING by Andreas M. Olligschlaeger Carnegie Mellon University](https://www.pdfsearch.io/img/ebd29312204f73cba9ed94487aa3a0a8.jpg) | Add to Reading ListSource URL: www.popcenter.orgLanguage: English - Date: 2008-01-24 11:26:26
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962![Nonlin. Processes Geophys., 17, 809–815, 2010 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License. Nonlinear Processes Nonlin. Processes Geophys., 17, 809–815, 2010 www.nonlin-processes-geophys.net[removed]doi:[removed]npg[removed] © Author(s[removed]CC Attribution 3.0 License. Nonlinear Processes](https://www.pdfsearch.io/img/0ae634315d3aba0cf74dd3c78138a73e.jpg) | Add to Reading ListSource URL: clima.meteoam.itLanguage: English - Date: 2012-04-27 04:31:32
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963![Chapter 1 Introduction The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays, waves its arms, or looks about, it Chapter 1 Introduction The idea that we learn by interacting with our environment is probably the first to occur to us when we think about the nature of learning. When an infant plays, waves its arms, or looks about, it](https://www.pdfsearch.io/img/84b011c8c5921117f6e58dd6afa92e71.jpg) | Add to Reading ListSource URL: www.incompleteideas.netLanguage: English - Date: 2007-01-10 02:39:32
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964![Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines Kihyuk Sohn Guanyu Zhou Chansoo Lee Honglak Lee Learning and Selecting Features Jointly with Point-wise Gated Boltzmann Machines Kihyuk Sohn Guanyu Zhou Chansoo Lee Honglak Lee](https://www.pdfsearch.io/img/4907d7deb14886d51df9ed77bb30f246.jpg) | Add to Reading ListSource URL: jmlr.orgLanguage: English - Date: 2013-08-14 01:36:44
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965![Appendix C The multi-layer perceptron The multi-layer perceptron (MLP) neural network shown in figure C.1 is the most typical of the models used in current neural networks research. It is the work-horse of many practica Appendix C The multi-layer perceptron The multi-layer perceptron (MLP) neural network shown in figure C.1 is the most typical of the models used in current neural networks research. It is the work-horse of many practica](https://www.pdfsearch.io/img/95d66ff999dd21ff31272d40b3617184.jpg) | Add to Reading ListSource URL: www.q12.orgLanguage: English - Date: 2002-03-13 22:41:40
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966![Machine Learning with Templates Dr. Michael Fiske Aemea Institute [removed] Machine Learning with Templates Dr. Michael Fiske Aemea Institute [removed]](https://www.pdfsearch.io/img/363b65d71e298c2f503d58b21f6324de.jpg) | Add to Reading ListSource URL: www.aemea.orgLanguage: English - Date: 2012-07-19 16:26:41
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967![Using Neural Networks for Modelling and Representing Natural Languages Tomas Mikolov, Facebook AI Research COLING 2014 Using Neural Networks for Modelling and Representing Natural Languages Tomas Mikolov, Facebook AI Research COLING 2014](https://www.pdfsearch.io/img/013c35b25fcd196234d2f1c1fc9d3132.jpg) | Add to Reading ListSource URL: www.coling-2014.orgLanguage: English - Date: 2015-01-15 13:25:43
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968![Volatile Memristive Devices as Short-Term Memory in a Neuromorphic Learning Architecture Jens Bürger Christof Teuscher Volatile Memristive Devices as Short-Term Memory in a Neuromorphic Learning Architecture Jens Bürger Christof Teuscher](https://www.pdfsearch.io/img/4819c3cad8c80040e3c72ddeb35253bd.jpg) | Add to Reading ListSource URL: web.cecs.pdx.eduLanguage: English - Date: 2014-04-24 17:44:30
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969![Association for Information Systems AIS Electronic Library (AISeL) AMCIS 2010 Proceedings Americas Conference on Information Systems Association for Information Systems AIS Electronic Library (AISeL) AMCIS 2010 Proceedings Americas Conference on Information Systems](https://www.pdfsearch.io/img/78187bfa44bb9f0fa8cf230788ea2cb2.jpg) | Add to Reading ListSource URL: www.business.hku.hkLanguage: English - Date: 2011-11-01 05:52:35
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970![Is Neural Network a Reliable Forecaster on Earth? A MARS Query! † Ajith Abraham & Dan Steinberg Is Neural Network a Reliable Forecaster on Earth? A MARS Query! † Ajith Abraham & Dan Steinberg](https://www.pdfsearch.io/img/fcd0c8e2fdf87cabfcd9dab2ab388bfb.jpg) | Add to Reading ListSource URL: media.salford-systems.comLanguage: English - Date: 2013-07-26 03:41:36
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