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Computational statistics
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#	Item
11	THE USE OF ARTIFICIAL INTELLIGENCE IN THE AUTOMATED PLACEMENT OF CARTOGRAPHIC NAMES David S. Johnson Dr. Umit Basoglu Intergraph Corporation One Madison Industrial Park Add to Reading List Source URL: mapcontext.com Language: English - Date: 2008-08-30 00:56:36 Computational neuroscience Applied mathematics Computational statistics Academia Machine learning Cybernetics Mathematical psychology Automatic label placement Artificial neural networks Algorithm Feature Cartographic labeling
12	ABOUT MANUSCRIPTS FOR IJ ITA Add to Reading List Source URL: foibg.com Language: English - Date: 2015-02-02 08:47:02 Information technology Information Computing Business intelligence Computational statistics Data management Formal sciences Group method of data handling Pentaho Predictive analytics Predictive Model Markup Language Data mining
13	MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering. Albert Bifet1 , Geoff Holmes1 , Bernhard Pfahringer1 , Philipp Kranen2 , Hardy Kremer2 , Timm Jansen2 , and Thomas Seidl2 1 Add to Reading List Source URL: moa.cs.waikato.ac.nz Language: English - Date: 2014-11-07 23:43:25 Data mining Statistics Computational statistics Software Machine learning Massive Online Analysis Cluster analysis Formal sciences Data stream mining K-means clustering Concept drift Weka
14	A Collaborative Filtering Approach to Real-Time Hand Pose Estimation Chiho Choi, Ayan Sinha, Joon Hee Choi, Sujin Jang, Karthik Ramani Purdue University West Lafayette, IN 47907, USA {chihochoi, sinha12, choi240, jang64, Add to Reading List Source URL: engineering.purdue.edu Language: English - Date: 2015-12-13 20:51:49 Artificial intelligence Computer vision Statistics Search algorithms Mathematics Robot control Computational neuroscience Convolutional neural network Random sample consensus Nearest neighbor search K-nearest neighbors algorithm Recommender system
15	The Imagination of Crowds: Conversational AAC Language Modeling using Crowdsourcing and Large Data Sources Keith Vertanen Department of Computer Science Princeton University Add to Reading List Source URL: www.keithv.com Language: English - Date: 2011-07-24 21:23:37 Language modeling Statistics Artificial intelligence Physics Computational linguistics Natural language processing Perplexity Audio codecs Markov models Entropy Advanced Audio Coding Language model
16	Learning to Rank on Network Data Majid Yazdani Ronan Collobert Andrei Popescu-Belis Add to Reading List Source URL: majid.yazdani.me Language: English - Date: 2015-08-19 06:57:43 Information science Information retrieval Statistics Computational neuroscience Cybernetics Dimension reduction Machine learning PageRank Feature selection Learning to rank Artificial neural network Ranking
17	A method for quantitative evaluation of audio quality over packet networks and its comparison with existing techniques Samir Mohamed Gerardo Rubino Add to Reading List Source URL: www.cnl.fi Language: English - Date: 2011-03-31 06:34:25 Digital television Codecs Applied mathematics Data compression Digital media Computational neuroscience Computational statistics Noise Video quality PSQM Artificial neural network Random neural network
18	Model-Free Imitation Learning with Policy Optimization Jonathan Ho Jayesh K. Gupta Stefano Ermon Stanford University Add to Reading List Source URL: jmlr.org Language: English - Date: 2016-07-20 01:41:08 Applied mathematics Statistics Numerical analysis Computational statistics Machine learning Cybernetics Apprenticeship learning Reinforcement learning Artificial neural network Mathematical optimization Loss function Sine
19	LETTER Communicated by Friedrich Sommer A Sparse Generative Model of V1 Simple Cells with Intrinsic Plasticity Add to Reading List Source URL: fias.uni-frankfurt.de Language: English - Date: 2008-09-09 03:37:37 Nervous system Computational neuroscience Neuroscience Computational statistics Artificial neural network Mathematical psychology Receptive field Biological neuron model Hebbian theory Visual cortex Feature learning Visual tilt effects
20	Quantifying Generalization in Linearly Weighted Neural Networks (Short title: Quantifying Generalization) Martin Anthony1 and Sean B. Holden2 Abstract Add to Reading List Source URL: www.maths.lse.ac.uk Language: English - Date: 2000-04-03 14:52:08 Machine learning Learning Artificial intelligence Computational learning theory Computational statistics Statistical classification Computational neuroscience VC dimension Artificial neural network Probably approximately correct learning Probability distribution Uniform convergence