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341	Components of a Research 2.0 Infrastructure Thomas Daniel Ullmann1, Fridolin Wild1, Peter Scott1, Erik Duval2, Bram Vandeputte2, Gonzalo Parra2, Wolfgang Reinhardt3, Nina Heinze4, Peter Kraker5, Angela Fessl5, Stefanie L Add to Reading List Source URL: www.know-center.tugraz.at Language: English - Date: 2014-07-22 07:19:15 Web 2.0 Graphical user interfaces Social information processing Brand management Software widget Mashup Widget Science 2.0
342	Can the Computer Learn to Play Music Expressively? Christopher Raphael Department of Mathematics and Statistics, University of Massachusetts at Amherst, Amherst, MA, Add to Reading List Source URL: music.informatics.indiana.edu Language: English - Date: 2000-11-10 09:32:54 Graphical models Statistical models Bayesian network Networks Normal distribution Hidden Markov model
343	IEEE TRANSACTIONS ON MEDICAL IMAGING, VOL. 28, NO. 3, MARCHJoint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors Add to Reading List Source URL: pages.ucsd.edu Language: English - Date: 2009-03-20 23:01:14 Neuroanatomy Ensemble learning Sulcus Cerebrum AdaBoost Curve Gyrus Boosting
344	MEI Tasks for Casio Graphical Calculators Statistics on the fx-9860 Mean and standard deviation of single variable data The following are the number of accurate passes by the starting 11 players in the 2011 Champions lea Add to Reading List Source URL: www.casiomedia.co.uk Language: English - Date: 2013-11-29 07:33:32 Programmable calculators Casio Graphing calculator Calculator Standard deviation Statistics Casio graphic calculators Casio FX-603P
345	Windows Vista and Windows 7 - Resolving display issues Overview The information below should help resolve a wide range of display issues that can occur on our website when using Windows Vista or Windows 7. The website ha Add to Reading List Source URL: content001.bet365.com Language: English - Date: 2015-04-24 07:36:11 Windows 7 Windows Vista Windows 8 Graphical user interfaces Windows 10 version history Features new to Windows 7
346	Learning Conditional Random Fields for Stereo Daniel Scharstein Middlebury College Middlebury, VT, USA Chris Pal Add to Reading List Source URL: www.cs.middlebury.edu Language: English - Date: 2007-06-15 21:08:12 Machine learning Graphical models Conditional random field Stereoscopy Vision Image segmentation Markov random field Mixture model Supervised learning Stereopsis Regression analysis
347	SIGCHI Conference Paper Format Add to Reading List Source URL: giove.isti.cnr.it Language: English - Date: 2016-06-22 02:34:09 Virtual reality User interface techniques Graphical user interfaces Human communication Humanmachine interaction User interface Windows 8.1 Widget Software MARIA XML Natural user interface
348	SOS Visual Playlist Editor (Preview Edition) November 2015 Version 5.0 Add to Reading List Source URL: sos.noaa.gov Language: English - Date: 2015-11-20 18:59:27 Graphical user interfaces Widget Screenshot
349	894 IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, VOL. 6, NO. 3, SEPTEMBER 2011 A Message-Passing Approach to Combating Desynchronization Attacks Add to Reading List Source URL: coleman.ucsd.edu Language: English Coding theory Error detection and correction Graphical models Low-density parity-check code Belief propagation Repetition code Factor graph Additive white Gaussian noise
350	Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction Stephen H. Bach Bert Huang Add to Reading List Source URL: psl.umiacs.umd.edu Language: English - Date: 2013-11-10 21:52:40 Graphical models Markov models Probability theory Markov random field Structured prediction Bayesian network Random field Markov chain Support vector machine Markov logic network Algorithm Hidden Markov model

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