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Feature learning
Results: 920

#	Item
81	Feature: Learning Theory In The 21st-Century Classroom Wherever your journey in education takes you, student-centered classrooms eventually lead to mastery, learning personalization, and competency education as a way for Add to Reading List Source URL: www.nmefoundation.org Language: English - Date: 2016-02-20 11:39:27 Education Educational psychology Pedagogy Educational practices Philosophy of education Personalized learning Competency-based learning Learning theory Educational technology Learning Student-centred learning Situated learning
82	1 An Empirical Evaluation of Deep Learning on Highway Driving arXiv:1504.01716v3 [cs.RO] 17 Apr 2015 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-04-19 21:01:25 Computational neuroscience Applied mathematics Feature detection Cybernetics Artificial neural networks Artificial intelligence Deep learning Outline of object recognition Convolutional neural network Minimum bounding box Computer vision Intelligent transportation system
83	Perspectives Beverly P. Wood, MD, MSc Feedback: A Key Feature of Medical Training1 As we instruct trainees in the health sciences, we serve as teachers, tutors, and Add to Reading List Source URL: medicalpartnership.usg.edu Language: English - Date: 2015-01-09 09:22:33 Education Educational psychology Learning Cognition Educational technology Practice Online tutoring Educational theory of apprenticeship
84	Feature: How Personalized Learning Defeats Inequity Schools often fail to address the needs of low-income students and students of color, leaving them disengaged and unprepared for college or career. Rebecca Wolfe of Job Add to Reading List Source URL: www.nmefoundation.org Language: English - Date: 2015-10-20 20:47:11 Education Pedagogy Learning Educational psychology Blended learning Competency-based learning Personalized learning Educational technology Learning environment
85	LEARNING SIMPLE TEXTURE DISCRIMINATION FILTERS Rui F. C. Guerreiro Pedro M. Q. Aguiar Institute for Systems and Robotics, Instituto Superior T´ecnico Add to Reading List Source URL: users.isr.ist.utl.pt Language: English - Date: 2010-06-29 10:21:08 Algebra Mathematics Mathematical analysis Image processing Functional analysis Linear filters Feature detection Filter theory Image texture Convolution Distribution Filter
86	Unsupervised Deep Embedding for Clustering Analysis Junyuan Xie University of Washington arXiv:1511.06335v2 [cs.LG] 24 May 2016 Add to Reading List Source URL: ai2-website.s3.amazonaws.com Language: English - Date: 2016-06-23 15:15:13 Machine learning Statistics Learning Cluster analysis Data analysis Multivariate statistics K-means clustering Feature learning Spectral clustering Deep learning Pattern recognition Dimensionality reduction
87	Learning Quadratic Forms by Density Estimation and its Applications to Image Coding Hauke Bartsch, Sepp Hochreiter and Klaus Obermayer Dept. of Computer Science, Technische Universit¨ at Berlin, Germany, Add to Reading List Source URL: www.bioinf.jku.at Language: English - Date: 2006-05-15 05:02:22 Statistics Applied mathematics Image processing Feature detection Computational neuroscience Artificial neural network Mathematical psychology Expectationmaximization algorithm Density estimation Gabor filter Machine learning Sepp Hochreiter
88	JMLR: Workshop and Conference Proceedings vol 40:1–77, 2015 Learning Overcomplete Latent Variable Models through Tensor Methods Animashree Anandkumar Add to Reading List Source URL: jmlr.org Language: English - Date: 2015-07-20 20:08:35 Algebra Mathematics Machine learning Linear algebra Statistical models Signal processing Multivariate statistics Higher-order singular value decomposition Independent component analysis Tensor Feature learning Unsupervised learning
89	Continuous Deep Q-Learning with Model-based Acceleration arXiv:1603.00748v1 [cs.LG] 2 Mar 2016 Shixiang Gu1 2 3 SG 717@ CAM . AC . UK Add to Reading List Source URL: arxiv.org Language: English - Date: 2016-03-02 20:31:58 Artificial intelligence Machine learning Computational neuroscience Learning Applied mathematics Artificial neural network Mathematical psychology Q-learning Reinforcement learning Supervised learning Feature learning Temporal difference learning
90	Feature: 5 K-12 Trends To Watch In 2016 What will be the most influential K-12 trends in 2016? Education Dive predicts personalized learning and holistic approaches to education will be at the top of the list. share: fac Add to Reading List Source URL: www.nmefoundation.org Language: English - Date: 2016-02-20 11:38:32 Education Software Computing Pedagogy Educational psychology Social media Educational practices Universal Windows Platform apps Blended learning Competency-based learning Twitter Personalized learning

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