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Logo VoxForge 0.1

by nshmyrev - February 7, 2010, 02:25:43 CET [ Project Homepage BibTeX Download ] 3733 views, 1195 downloads, 0 comments, 1 subscription

About: Free Speech Database for ASR engines

Changes:

Initial Announcement on mloss.org.


Logo r-cran-SDDA 1.0-5

by r-cran-robot - February 2, 2010, 00:00:00 CET [ Project Homepage BibTeX Download ] 2073 views, 496 downloads, 0 subscriptions

About: Stepwise Diagonal Discriminant Analysis

Changes:

Fetched by r-cran-robot on 2012-02-01 00:00:11.677447


Logo OXlearn 1.0

by gwestermann - January 11, 2010, 11:48:26 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5593 views, 1198 downloads, 1 subscription

About: OXlearn is a free neural network simulation software that enables you to build, train, test and analyse connectionist neural network models. Because OXlearn is implemented as a Matlab toolbox you can run it on all operation systems (Windows, Linux, MAC, etc.), and there is a compiled version for XP.

Changes:

Initial Announcement on mloss.org.


Logo ROC algorithms 1.0

by tfawcett - January 9, 2010, 19:52:00 CET [ BibTeX BibTeX for corresponding Paper Download ] 5377 views, 1230 downloads, 1 subscription

About: A set of Perl programs for generating and manipulating ROC curves.

Changes:

Initial Announcement on mloss.org.


Logo ROCCH 2.2

by tfawcett - January 9, 2010, 07:47:47 CET [ BibTeX BibTeX for corresponding Paper Download ] 3644 views, 1231 downloads, 0 comments, 1 subscription

About: Given many points in ROC (Receiver Operator Characteristics) space, computes the convex hull.

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 ] 6783 views, 1206 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 svmPRAT 1.0

by rangwala - December 28, 2009, 00:27:03 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5326 views, 1328 downloads, 1 subscription

About: BACKGROUND:Over the last decade several prediction methods have been developed for determining the structural and functional properties of individual protein residues using sequence and sequence-derived information. Most of these methods are based on support vector machines as they provide accurate and generalizable prediction models. RESULTS:We present a general purpose protein residue annotation toolkit (svmPRAT) to allow biologists to formulate residue-wise prediction problems. svmPRAT formulates the annotation problem as a classification or regression problem using support vector machines. One of the key features of svmPRAT is its ease of use in incorporating any user-provided information in the form of feature matrices. For every residue svmPRAT captures local information around the reside to create fixed length feature vectors. svmPRAT implements accurate and fast kernel functions, and also introduces a flexible window-based encoding scheme that accurately captures signals and pattern for training eective predictive models. CONCLUSIONS:In this work we evaluate svmPRAT on several classification and regression problems including disorder prediction, residue-wise contact order estimation, DNA-binding site prediction, and local structure alphabet prediction. svmPRAT has also been used for the development of state-of-the-art transmembrane helix prediction method called TOPTMH, and secondary structure prediction method called YASSPP. This toolkit developed provides practitioners an efficient and easy-to-use tool for a wide variety of annotation problems. Availability: http://www.cs.gmu.edu/~mlbio/svmprat/

Changes:

Initial Announcement on mloss.org.


About: Matlab code for semi-supervised regression and dimensionality reduction using Hessian energy.

Changes:

Initial Announcement on mloss.org.


Logo r-cran-ROCR 1.0-4

by r-cran-robot - December 8, 2009, 00:00:00 CET [ Project Homepage BibTeX Download ] 6746 views, 1370 downloads, 1 subscription

About: Visualizing the performance of scoring classifiers.

Changes:

Fetched by r-cran-robot on 2013-04-01 00:00:08.344833


Logo SCD 2.1

by ambujtewari - December 3, 2009, 22:21:45 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 9235 views, 1818 downloads, 1 subscription

About: A (randomized) coordinate descent procedure to minimize L1 regularized loss for classification and regression purposes.

Changes:

Fixed some I/O bugs. Lines that ended with whitespace were not read correctly in the previous version.


Showing Items 501-510 of 623 on page 51 of 63: First Previous 46 47 48 49 50 51 52 53 54 55 56 Next Last