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Neural networks
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#	Item
391	MNIT-FIRE-NER-HINDI Report for NER Track at FIRE 2013 Lokesh Kumar Sharma1, Dr. Namita Mittal2 1 PhD Scholar, 2Asst. Professor Add to Reading List Source URL: www.isical.ac.in Language: English - Date: 2013-11-28 04:43:30 Computational linguistics Artificial neural networks Named-entity recognition Computational science Perceptron Artificial intelligence Natural language processing Algorithm NP Linguistics Structured prediction Part-of-speech tagging
392	Grasp Pose Detection in Dense Clutter Using Deep Learning Marcus Gualtieri† , Andreas ten Pas† , Kate Saenko‡ , Robert Platt† of Computer and Information Science, Northeastern University ‡ Department of Compute Add to Reading List Source URL: juxi.net Language: English - Date: 2016-06-17 12:14:31 Computer vision Artificial neural networks Robot kinematics Child development Grasp Pose Robot end effector Robotics Degrees of freedom Convolutional neural network
393	Sentient World: Human-Based Procedural Cartography An Experiment in Interative Sketching and Iterative Refining Antonios Liapis1 , Georgios N. Yannakakis1,2 , and Julian Togelius1 1 Center for Computer Games Research Add to Reading List Source URL: antoniosliapis.com Language: English - Date: 2014-12-01 05:19:04 Computational neuroscience Artificial neural networks Computational statistics Mathematical psychology Web mapping Backpropagation Neuroevolution Here Usability Heightmap
394	ROHIT DUA CAMPUS ADDRESS 116, EECH, 1870 Miner Circle University of Missouri - Rolla Rolla, MO 65409. Add to Reading List Source URL: acil.mst.edu Language: English - Date: 2014-01-22 05:24:00 Computational neuroscience Mathematical psychology Institute of Electrical and Electronics Engineers Artificial neural networks
395	Multilayer Perceptrons and Backpropagation Informatics 1 CG: Lecture 6 Mirella Lapata School of Informatics University of Edinburgh Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-01-31 15:41:31 Artificial neural networks Multilayer perceptron Feedforward neural network Perceptron Backpropagation Artificial neuron Activation function Connectionism Extreme learning machine Convolutional neural network
396	Lars Buesing Personal Information Office Address Department of Statistics, Columbia University Office 930, SSW, 1255 Amsterdam Avenue, New York, NY 10027 Add to Reading List Source URL: www.gatsby.ucl.ac.uk Language: English - Date: 2014-10-13 14:12:05 Computational neuroscience Computational statistics Artificial neural networks Neuroscience Cognitive neuroscience Spiking neural network Conference on Neural Information Processing Systems Deep learning Systems neuroscience Biological neural network Network: Computation In Neural Systems
397	Thriving in Complex Times BY DRs. JOEL AND MICHELLE LEVEY Management practices seem to change daily. These changes sometimes go unnoticed due to the much bigger changes that are occurring around us, called “VUCA times, Add to Reading List Source URL: www.wisdomatwork.com Language: English - Date: 2013-07-17 19:17:38 Social psychology Neural networks Mindfulness Meditation Mindbody interventions Artificial neural network VUCA Leadership Neuropsychology Empathy Mind Brain
398	Artificial Neural Networks Martin Anthony Abstract ‘Artificial neural networks’ are machines (or models of computation) based loosely on the ways in which the brain is believed to work. In this chapter, we discuss so Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2000-04-03 14:18:14 Artificial neural networks Feedforward neural network Perceptron Boltzmann machine Backpropagation Supervised learning Artificial neuron Restricted Boltzmann machine Deep learning
399	Microsoft Word - Final Report Safety Critical Eunite 2003.rtf Add to Reading List Source URL: www.eunite.org Language: English - Date: 2014-12-13 03:39:48 Artificial intelligence Computational neuroscience Computational statistics Neural networks Artificial neural network Mathematical psychology Intelligent control Fuzzy logic Software development process Biological neural network Control theory Cellular neural network
400	Sequence Classification For Protein Analysis Sepp Hochreiter and Klaus Obermayer Technische Universit¨at Berlin To analyze the sequential data obtained from genome sequencing (DNA and the translated protein sequences), Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2013-01-23 02:38:18 Artificial neural networks Computational neuroscience Bioinformatics Computational biology Sepp Hochreiter Protein structure Long short-term memory Sequence alignment Artificial intelligence Protein superfamily Protein domain Threading

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