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Feature model
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#	Item
91	arXiv:1110.0107v2 [cs.CV] 5 AprLearning to relate images: Mapping units, complex cells and simultaneous eigenspaces Roland Memisevic University of Frankfurt Add to Reading List Source URL: arxiv.org Language: English - Date: 2012-04-08 20:12:35 Machine learning Learning Artificial intelligence Estimation theory Computational neuroscience Computational statistics Dimension reduction Feature learning Mixture model Linear regression Autoencoder Gibbs sampling
92	Extracting Software Product Lines: A Case Study Using Conditional Compilation Marcus Vinicius Couto Institute of Informatics, PUC Minas Belo Horizonte, Brazil Add to Reading List Source URL: argouml-spl.tigris.org Language: English - Date: 2011-08-28 15:35:53 Aspect-oriented software development ArgoUML Software metrics Feature-oriented programming Feature model UML tool STING Product family engineering Preprocessor Source lines of code Aspect-oriented programming SPL
93	Parallel Feature Selection inspired by Group Testing Yingbo Zhou∗ Utkarsh Porwal∗ CSE Department SUNY at Buffalo {yingbozh, utkarshp}@buffalo.edu Add to Reading List Source URL: papers.nips.cc Language: English - Date: 2014-12-02 18:42:35 Statistics Statistical classification Computer programming Data Machine learning Model selection Nonparametric statistics Support vector machine Feature selection Test set Separable space Recursion
94	IEEE TRANSACTIONS OF PATTERN ANALYSIS AND MACHINE INTELLIGENCE 1 Multi-Scale Categorical Object Recognition Using Contour Fragments Add to Reading List Source URL: jamie.shotton.org Language: English - Date: 2013-04-10 20:20:44 Image processing Feature detection Computer vision Generalised Hough transform Shape context Image segmentation K-means clustering Outline of object recognition Constellation model Centroid Edge detection Caltech 101
95	Model-Independent Phenotyping of C. elegans Locomotion Using Scale-Invariant Feature Transform Add to Reading List Source URL: behave.csc.mrc.ac.uk Language: English - Date: 2015-04-08 12:17:57
96	Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation Kyunghyun Cho Bart van Merri¨enboer Caglar Gulcehre Universit´e de Montr´eal Add to Reading List Source URL: arxiv.org Language: English - Date: 2014-09-03 21:21:41 Artificial neural networks Artificial intelligence Machine learning Applied mathematics Deep learning Recurrent neural network Recursive neural network Feature learning Word embedding Statistical machine translation Language model Autoencoder
97	ROBERTO BATTITI, MAURO BRUNATO. The LION Way: Machine Learning plus Intelligent Optimization. LIONlab, University of Trento, Italy, Apr 2015 http://intelligentoptimization.org/LIONbook Add to Reading List Source URL: intelligent-optimization.org Language: English - Date: 2015-10-06 09:20:21 Machine learning Model selection Learning Dimension reduction Feature selection Pattern recognition Roberto Battiti Feature Dimensionality reduction
98	Model Kit Report Keith Pruitt This Month Tools are the Feature Tools are needed in all forms of modeling. Add to Reading List Source URL: www.hobbymerchandiser.com Language: English - Date: 2013-10-01 17:14:13
99	MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE Benigno Uria1 1 Iain Murray1 Add to Reading List Source URL: www.cstr.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Speech recognition Acoustic model Artificial neural network Time series Speech synthesis Pattern recognition Machine learning Deep learning
100	AN ADVANCED FEATURE COMPENSATION METHOD EMPLOYING ACOUSTIC MODEL WITH PHONETICALLY CONSTRAINED STRUCTURE Wooil Kim1 and John H. L. Hansen2 1 2 Add to Reading List Source URL: www.utdallas.edu Language: English - Date: 2013-05-28 13:45:30 Machine learning Artificial intelligence Learning Markov models Computer accessibility Speech recognition Mixture model Markov chain

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