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Showing Items 611-620 of 664 on page 62 of 67: First Previous 57 58 59 60 61 62 63 64 65 66 67 Next

Logo markov thebeast 0.0.2

by sebastian - June 14, 2008, 17:01:31 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 6709 views, 1440 downloads, 0 comments, 1 subscription

About: markov thebeast is a Markov Logic interpreter. We also see it as structured prediction framework in which the user can define a loglinear distribution over a complex output space.

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Initial Announcement on mloss.org.


Logo mcmkl 0.1

by ong - May 15, 2008, 15:30:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 10581 views, 2148 downloads, 1 subscription

About: We provide some preliminary code for multiclass multiple kernel learning in Matlab using CPLEX as a base solver.

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Initial Announcement on mloss.org.


Logo FlexCRFs 0.3

by pxhieu - May 10, 2008, 09:24:54 CET [ Project Homepage BibTeX Download ] 7113 views, 3478 downloads, 1 subscription

About: FlexCRFs is a conditional random field toolkit for segmenting and labeling sequence data written in C/C++ using STL library. It was implemented based on the theoretic model presented in (Lafferty et [...]

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Initial Announcement on mloss.org.


Logo GibbsLDA 0.2

by pxhieu - May 9, 2008, 22:18:52 CET [ Project Homepage BibTeX Download ] 7789 views, 3068 downloads, 1 subscription

About: GibbsLDA++: A C/C++ Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for parameter estimation and inference. GibbsLDA++ is fast and is designed to analyze hidden/latent topic [...]

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Initial Announcement on mloss.org.


Logo monte python 0.1.0

by roro - May 9, 2008, 21:45:47 CET [ Project Homepage BibTeX Download ] 7578 views, 2742 downloads, 1 subscription

About: Monte (python) is a small machine learning library written in pure Python. The focus is on gradient based learning, in particular on the construction of complex models from many smaller components.

Changes:

Initial Announcement on mloss.org.


Logo Logistic regression with dual spectral regularization 1.0

by ryota - April 27, 2008, 08:44:51 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 7666 views, 1843 downloads, 1 subscription

About: It solves a classification problem over symmetric matrices with dual spectral norm (trace norm) regularization using a simple interior point method. It was successfully applied to single trial EEG [...]

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Logo OpenCV, The Open Computer Vision Library 1.0

by bornet - April 24, 2008, 12:15:59 CET [ Project Homepage BibTeX Download ] 8756 views, 2223 downloads, 0 comments, 1 subscription

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About: The Open Computer Vision Library is a collection of algorithms and sample code for various computer vision problems. The library is compatible with IPL and utilizes Intel Integrated Performance [...]

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Initial Announcement on mloss.org.


Logo Spike train feature extraction by Bayesian binning 0.1

by dendres - September 24, 2008, 16:19:14 CET [ BibTeX BibTeX for corresponding Paper Download ] 7623 views, 1921 downloads, 0 comments, 1 subscription

About: *binsdfc* is a command line implementation of the algorithm described in [Endres,Oram,Schindelin,Foldiak:*Bayesian binning beats approximate alternatives: estimating peri-stimulus time histograms*, [...]

Changes:

Changed build system from automake to cmake. Moved download page to www.compsens.uni-tuebingen.de


Logo JMLR JNCC2 1.11

by gcorani - January 1, 2009, 03:22:47 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 17411 views, 2236 downloads, 0 comments, 1 subscription

About: JNCC2 is the open-source implementation of the Naive Credal Classifier2 (NCC2), i.e., an extension of Naive Bayes towards imprecise probabilities, designed to deliver robust classifications even on [...]

Changes:

Initial Announcement on mloss.org.


Logo BSVM 2.06

by biconnect - January 30, 2008, 10:27:13 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 10700 views, 2050 downloads, 1 subscription

About: BSVM solves support vector machines (SVM) for the solution of large classification and regression problems. It includes three methods

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Initial Announcement on mloss.org.


Showing Items 611-620 of 664 on page 62 of 67: First Previous 57 58 59 60 61 62 63 64 65 66 67 Next