Search results

Create the page "PCA" on this wiki! See also the search results found.

Page title matches

• 10-601 PCA
  ...pca.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-601/601-pca.pdf Slides in PDF]. * Murphy Chap 12. PCA is not covered in Mitchell.
  1 KB (188 words) - 15:29, 21 April 2016

Page text matches

• 10-601 PCA
  ...pca.pptx Slides in Powerpoint], [http://www.cs.cmu.edu/~wcohen/10-601/601-pca.pdf Slides in PDF]. * Murphy Chap 12. PCA is not covered in Mitchell.
  1 KB (188 words) - 15:29, 21 April 2016
• 10-601 Matrix Factorization
  * [http://www.cs.cmu.edu/~wcohen/10-601/pca+mf.pdf Slides in PDF]. * Murphy Chap 12. PCA is not covered in Mitchell.
  1 KB (238 words) - 15:33, 21 April 2016
• 10-601 CF
  * How PCA, SVD, k-means, and other clustering methods relate to matrix factorization.
  617 bytes (88 words) - 11:45, 31 October 2013
• R. K. Ando and T. Zhang. ACL 2005
  They also explained the difference between this algorithm and [[UsesMethod::PCA]], where ...ASO]] find principle components in the predictor space while [[UsesMethod::PCA]] seeks in data space.
  2 KB (357 words) - 05:46, 23 November 2010
• Tang et al.: ICDM 2009
  ...tures from each dimension of the network via modularity maximization; then PCA is applied on the concatenated data to select the top eigenvectors. Afterwa
  3 KB (423 words) - 18:43, 31 March 2011
• The Untold Story of the Clones: Content-agnostic Factors that Impact YouTube Video Popularity
  ...atistical tools are used: 1) [[UsesMethod::Principal Component Analysis]] (PCA) for grouping of variables responsible for the popularity variation, 2) Cor 1. By applying Principal Component Analysis (PCA) on each of the 48 collected clone sets, the two primary components roughly
  4 KB (542 words) - 21:39, 2 November 2012
• Syllabus for Machine Learning 10-601 in Fall 2014
  ...d 11/12 ('''Wm''') || Thur 11/13 (Wm) || [[10-601 Matrix Factorization|PCA and Matrix Factorization]]|| ''slides to be updated'' || [http://www.cs.cmu ...and Network Models]] || || HW8: Topic models (worksheet, experiments with PCA code) - due 11/24. Kuo Liu and Yipei Wang.
  8 KB (1,059 words) - 10:37, 3 December 2014
• Compare Y. Borghol et al. 2011 and The Untold Story of the Clones: Content-agnostic Factors that Impact YouTube Video Popularity
  ...nt for temporal varying factors that impact popularity, while Paper 2 uses PCA, correlation analysis techniques, and a multi-linear regression model for a
  2 KB (304 words) - 14:38, 5 November 2012
• Draft schedule for 10-601B in Spring 2016
  | W 4/13 || [[10-601_Matrix_Factorization|PCA and dimension reduction]] || William || HW7: Deep Learning || TBA
  3 KB (339 words) - 10:21, 12 January 2016
• Kernel Dependency Estimation, Weston, Chapelle, Elisseeff, Schoelkopf, and Vapnik, 2003
  ...l matrix <math>L_{ij} = l(y_i, y_j)</math>. Perform a kernel [[UsesMethod::PCA]]. The eigenvectors corresponding to the top 'n' eigenvalues constitute the
  3 KB (431 words) - 00:42, 1 December 2011
• Syllabus for Machine Learning 10-601B in Spring 2016
  | W 4/13 || [[10-601_PCA|PCA and dimension reduction]] || William || HW7: Deep Learning || Zichao
  4 KB (549 words) - 21:14, 5 September 2016