Michael Jordan

 

Comments and Ratings by Michael		View all 1 - 5 of 19
Updated	File	Comments	Rating
31 Mar 2009	Kernel Smoothing Regression A non-parametrical regression (smoothing) tool using Gaussian kernel. Author: Yi Cao
31 Mar 2009	Bidirectional Branch and Bound Solvers for Worst Case Loss Minimization Two branch and bound solvers using worst case loss criterion to select controlled variables. Author: Yi Cao
06 Feb 2009	Principal Component Analysis for Large Matrix This function will occupy large storage space during running time. Author: Richang Hong
04 Feb 2009	Video: GUIDE Advanced Techniques Advanced techniques in GUI building with GUIDE. Techniques include: multi-window GUIs, application. Author: Doug Hull
04 Feb 2009	Video: GUIDE Basics Tutorial Five minute video about building GUIs in MATLAB. Author: Doug Hull

Files Matching Michael's Watch List					View all 1 - 5 of 74
Updated		File	Tags	Downloads (last 30 days)	Comments	Rating
04 Feb 2012		EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision. Author: Michael Chen	em, clustering, gaussian, gmm, mixture, mle	336	39	4.53333 4.5 | 15 ratings
24 Nov 2011		Experimental (Semi-) Variogram calculate the isotropic and anisotropic experimental (semi-) variogram Author: Wolfgang Schwanghart	kriging, variogram, spatial modelling, dimensions, geostatistics	89	14	4.85714 4.9 | 7 ratings
15 Sep 2011		Hungarian Algorithm for Linear Assignment Problems (V2.3) An extremely fast implementation of the Hungarian algorithm on a native Matlab code. Author: Yi Cao	optimization, munkres algorithm, hungarian algorithm, assignment problem, function missing in y..., bsxfunminus	63	21	5.0 5.0 | 9 ratings
12 Sep 2011		Active contour platform Compare the performance of different level sets and active contours methods. Author: olivier bernard	level sets, active contours, segmentation, computer vision, image processing	84	11	4.6 4.6 | 5 ratings
05 Jul 2011		MPC Tutorial III: MPC in Simulink V2 A tutorial on using MPC in Simulink. Author: Yi Cao	mpc, simulink, tutorial	33	1	3.66667 3.7 | 3 ratings

Comments and Ratings Matching Michael's Watch List			1-5 of 87
Date	File	Comment by	Comments	Rating
08 Feb 2012	EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision.	Michael Chen	Hi Andreas, that function is in statistics toolbox. It random sample k integers between 1 to n.	Comment only
08 Feb 2012	EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision.	Andreas	Hi Michael, A small question: the randsample function called at line 44 seemingly does not exist, as I get an error. I am running R2011b. Are other, non-native, files required to run emgm? Thanks.	Comment only
07 Feb 2012	EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision.	Michael Chen	Nicolas: I dont see problem	Comment only
07 Feb 2012	EM algorithm for Gaussian mixture model EM algorithm for Gaussian mixture. Works on arbitray dimensions with high speed and precision.	Michael Chen	For any one having question about changing result: Please read wiki page. EM is only finding local minimal, which means the result depend on initialization.	Comment only
04 Feb 2012	Boosting Demo A demo to illustrate the behaviour of Adaboost with various base learners on a few toy datasets.	sahar	I find this code very inetrsting,I want to add an other data with inputs is a matrix(n,m) with n>2 and the output is a vector(1,m). But I find error of size of matrix	Comment only