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Machine learning
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#	Item
821	This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 1 A Comparative Study of Predic Add to Reading List Source URL: sites.bu.edu Language: English - Date: 2015-10-26 12:04:59 Machine learning Ensemble learning Artificial intelligence Statistics Decision trees Econometrics Regression analysis Lidar Robotic sensing Gradient boosting Linear regression Random forest
822	Robert Gordon University, Sir Ian Wood Building Garthdee Road, Aberdeen, AB10 7GJ UK, Scotland Friday 2nd September 2016 Start Time Add to Reading List Source URL: www.eann.org.uk Language: English - Date: 2016-08-11 07:57:24 Artificial neural networks Computational neuroscience Computational statistics Applied mathematics Cybernetics Cognitive science Spiking neural network Deep learning Glenfiddich Machine learning Recurrent neural network Speech recognition
823	1 Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models Zhuowen Tu, Katherine L. Narr, Piotr Doll´ar, Ivo Dinov, Paul M. Thompson, and Arthur W. Toga Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2007-08-09 13:56:19 Artificial intelligence Machine learning Learning Graphical models Image segmentation Discriminative model Principal component analysis Conditional random field AdaBoost Functional magnetic resonance imaging Markov random field Bag-of-words model in computer vision
824	Team APL: Intelligent Fusion of CNN Ensembles Christopher M. Gifford, Pedro A. Rodriguez, Ryan Amundsen, Stefan Awad, Brant Chee, Clare Lau, Ajay Patrikar The Johns Hopkins University Applied Physics Laboratory (JHU/APL) Add to Reading List Source URL: image-net.org Language: English - Date: 2015-12-16 23:04:56 Computational neuroscience Artificial intelligence Machine learning Statistical classification Artificial neural networks Cognitive science Learning Computer vision Convolutional neural network Support vector machine Classifier Deep learning
825	UNIVERSITY OF CALIFORNIA, SAN DIEGO More like this: machine learning approaches to music similarity A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:02:40 Machine learning Information retrieval Information science Learning Dimensionality reduction Learning to rank K-nearest neighbors algorithm T-distributed stochastic neighbor embedding
826	Self-organizing map in Matlab: the SOM Toolbox Juha Vesanto, Johan Himberg, Esa Alhoniemi and Juha Parhankangas Laboratory of Computer and Information Science, Helsinki University of Technology, Finland Abstract The Sel Add to Reading List Source URL: www.cis.hut.fi Language: English - Date: 2000-10-09 05:53:25 Software Application software Mathematical software Artificial neural networks Array programming languages Machine learning Dimension reduction Self-organizing map Cross-platform software MATLAB Unsupervised learning U-matrix
827	Adaptively Learning the Crowd Kernel Omer Tamuz Microsoft Research New England and Weizmann Institute of Science Ce Liu Microsoft Research New England Add to Reading List Source URL: research.microsoft.com Language: English - Date: 2011-05-05 21:16:05 Statistics Multivariate statistics Data analysis Machine learning Statistical classification Dimension reduction Support vector machine Multidimensional scaling Similarity measure Principal component analysis K-nearest neighbors algorithm Positive-definite kernel
828	Supervised machine learning of fused RADAR and optical data for land cover classification Guido Cervone Barry Haack Add to Reading List Source URL: cervone.psu.edu Language: English - Date: 2015-11-18 09:12:45 Machine learning Artificial intelligence Learning Cognition Imaging Remote sensing Statistical classification Multispectral image Weka Supervised learning Geographic information system Data fusion
829	arXiv:1511.07147v1 [cs.LG] 23 NovA PAC Approach to Application-Specific Algorithm Selection∗ Rishi Gupta Tim Roughgarden Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-11-23 20:51:24 Mathematics Computational complexity theory Applied mathematics NP-complete problems Combinatorial optimization Operations research Mathematical optimization Machine learning Algorithm Greedy algorithm Heuristic Knapsack problem
830	© 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promo Add to Reading List Source URL: www.wjscheirer.com Language: English - Date: 2014-06-17 17:06:45 Statistics Learning Machine learning Statistical classification Support vector machines Statistical models Kernel method Probability distribution Platt scaling Pattern recognition Probability Bayesian network

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