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Showing Items 301-310 of 561 on page 31 of 57: First Previous 26 27 28 29 30 31 32 33 34 35 36 Next Last

Logo Tuwo 1.0

by nowozin - May 19, 2009, 09:19:41 CET [ Project Homepage BibTeX Download ] 3910 views, 947 downloads, 1 subscription

About: C++ Library for High-level Computer Vision Tasks

Changes:

Initial Announcement on mloss.org.


Logo Incomplete Cholesky Decomposition for Dense Matrices 1.0

by mseeger - November 10, 2007, 22:23:52 CET [ Project Homepage BibTeX Download ] 4462 views, 947 downloads, 0 subscriptions

About: The incomplete Cholesky decomposition for a dense symmetric positive definite matrix A is a simple way of approximating A by a matrix of low rank (you can choose the rank). It has been used [...]

Changes:

Initial Announcement on mloss.org.


Logo sofia ml 0.1

by dsculley - December 29, 2009, 23:30:58 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5210 views, 938 downloads, 0 comments, 1 subscription

About: A fast implementation of several stochastic gradient descent learners for classification, ranking, and ROC area optimization, suitable for large, sparse data sets. Includes Pegasos SVM, SGD-SVM, Passive-Aggressive Perceptron, Perceptron with Margins, Logistic Regression, and ROMMA. Commandline utility and API libraries are provided.

Changes:

Initial Announcement on mloss.org.


Logo stroll 0.1

by ppletscher - April 1, 2009, 14:32:31 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4244 views, 937 downloads, 1 subscription

About: stroll (STRuctured Output Learning Library) is a library for Structured Output Learning.

Changes:

Initial Announcement on mloss.org.


Logo Dirichlet Forest LDA 0.1.1

by davidandrzej - July 16, 2009, 21:59:53 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4775 views, 934 downloads, 1 subscription

About: This software implements the Dirichlet Forest (DF) Prior within the Latent Dirichlet Allocation (LDA) model. When combined with LDA, the Dirichlet Forest Prior allows the user to encode domain knowledge (must-links and cannot-links between words) into the prior on topic-word multinomials.

Changes:

Initial Announcement on mloss.org.


Logo Neural network designer 1.1.1

by bragi - December 28, 2012, 11:38:10 CET [ Project Homepage BibTeX Download ] 3196 views, 931 downloads, 1 subscription

About: a dbms for resonating neural networks. Create and use different types of machine learning algorithms.

Changes:

AIML compatible (AIML files can be imported); new 'Grid channel' for developing board games; improved topics editor; new demo project: ALice (from AIML); lots of bug-fixes and speed improvements


About: hapFabia is an R package for identification of very short segments of identity by descent (IBD) characterized by rare variants in large sequencing data.

Changes:

o citation update

o plot function improved


Logo Some essential Matlab extensions 1.0

by mseeger - November 10, 2007, 22:15:31 CET [ Project Homepage BibTeX Download ] 3393 views, 929 downloads, 0 comments, 0 subscriptions

About: This is a set of MATLAB(R) functions and MEX files which I wrote to make working with this system somewhat bearable. They allow to call BLAS and LAPACK functions, which do very efficient dense [...]

Changes:

Initial Announcement on mloss.org.


Logo r-cran-predbayescor 1.1-4

by r-cran-robot - December 1, 2012, 00:00:07 CET [ Project Homepage BibTeX Download ] 3475 views, 922 downloads, 1 subscription

About: Classification rule based on Bayesian naive Bayes models with feature selection bias corrected

Changes:

Fetched by r-cran-robot on 2012-12-01 00:00:07.510624


Logo cbMDS Correlation Based Multi Dimensional Scaling 1.2

by emstrick - July 27, 2013, 14:35:36 CET [ BibTeX BibTeX for corresponding Paper Download ] 3680 views, 919 downloads, 1 subscription

About: The aim is to embed a given data relationship matrix into a low-dimensional Euclidean space such that the point distances / distance ranks correlate best with the original input relationships. Input relationships may be given as (sparse) (asymmetric) distance, dissimilarity, or (negative!) score matrices. Input-output relations are modeled as low-conditioned. (Weighted) Pearson and soft Spearman rank correlation, and unweighted soft Kendall correlation are supported correlation measures for input/output object neighborhood relationships.

Changes:
  • Initial release (Ver 1.0): Weighted Pearson and correlation and soft Spearman rank correlation, Tue Dec 4 16:14:51 CET 2012

  • Ver 1.1 Added soft Kendall correlation, Fri Mar 8 08:41:09 CET 2013

  • Ver 1.2 Added reconstruction of sparse relationship matrices, Fri Jul 26 16:58:37 CEST 2013


Showing Items 301-310 of 561 on page 31 of 57: First Previous 26 27 28 29 30 31 32 33 34 35 36 Next Last