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Feature learning
Results: 920

#	Item
31	Feature: 6 Regions Embrace 21st Century Learning “Six regions in the nation are infusing a new approach to education reform that iteratively but dramatically changes the way learning happens in schools.” And New Engl Add to Reading List Source URL: www.nmefoundation.org - Date: 2015-10-20 20:49:08
32	Feature: How Is Personalized Learning Changing Lives? Thomas Rooney describes how his school district - one where students face incredible odds - is seeing remarkable success with personalized, competency-based learning. Add to Reading List Source URL: www.nmefoundation.org - Date: 2016-02-20 11:00:17
33	– the FoM for “rock” appears to have become very poor now. • Combining all feature dimensions from acoustic information below 20 Hz and above 4186 Hz. – (Rock recovers partly) 3.3MUSIC FilteringCONTENT Add to Reading List Source URL: wp.nyu.edu Language: English - Date: 2016-08-16 16:20:31 Algebra Physics Statistics Linear algebra Multivariate statistics Statistical classification Support vector machine Machine learning Euclidean vector Principal component analysis Light scattering Scattering
34	MODELLING ACOUSTIC FEATURE DEPENDENCIES WITH ARTIFICIAL NEURAL NETWORKS: TRAJECTORY-RNADE Benigno Uria1 1 Iain Murray1 Add to Reading List Source URL: www.cstr.inf.ed.ac.uk Language: English - Date: 2015-09-29 11:06:25 Computational linguistics Artificial intelligence Humancomputer interaction Academia Speech recognition Artificial neural network Acoustic model Time series Speech synthesis Pattern recognition Machine learning
35	¨ ETH Zurich Computer Science Department Prof. Marc Pollefeys Prof. Luc Van Gool Add to Reading List Source URL: www.cvg.ethz.ch Language: English - Date: 2015-12-15 08:50:27 Artificial intelligence Statistics Machine learning Nonparametric statistics Statistical classification Feature detection Learning Histogram Naive Bayes classifier Outline of object recognition K-means clustering Bag-of-words model
36	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
37	Feature: Reinventing High School Takes Making It All About The Teens We know America’s public high schools aren’t sufficiently preparing young people for life after graduation. “[But] it’s past time when we can p Add to Reading List Source URL: www.nmefoundation.org Language: English - Date: 2016-05-22 17:32:48 Education Software Pedagogy Euthenics Social media Social networking services Universal Windows Platform apps Learning environment Personalized learning Twitter Student voice Facebook
38	Feature: 5 Steps To Support College And Career Readiness Most educators agree that high schools should strive to have students college and career ready. But many schools lack a clear definition of what this means, and ho Add to Reading List Source URL: www.nmefoundation.org Language: English - Date: 2015-10-20 20:48:16 Software Education Computing Pedagogy Social media Educational practices Social networking services Universal Windows Platform apps Blended learning Facebook Twitter Charter schools in the United States
39	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
40	Structural Graphical Lasso for Learning Mouse Brain Connectivity Sen Yang Qian Sun Add to Reading List Source URL: peterwonka.net Language: English - Date: 2015-11-20 08:10:54 Statistics Estimation theory Inverse problems Dimension reduction Maximum likelihood estimation Lasso Graphical lasso Feature selection Estimation of covariance matrices Regularization Matrix Loss function