All entries.
Showing Items 61-70 of 624 on page 7 of 63: First Previous 2 3 4 5 6 7 8 9 10 11 12 Next Last

Logo Libra 1.1.2d

by lowd - February 4, 2016, 08:51:50 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 22573 views, 4765 downloads, 3 subscriptions

About: The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, sum-product networks, arithmetic circuits, and mixtures of trees.


Version 1.1.2d (12/29/2015):

  • Minor fixes to scripts
  • Published in JMLR ML-OSS!

Logo JMLR Surrogate Modeling Toolbox 7.0.2

by dgorissen - September 4, 2010, 07:48:59 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 17526 views, 4765 downloads, 1 subscription

About: The SUMO Toolbox is a Matlab toolbox that automatically builds accurate surrogate models (also known as metamodels or response surface models) of a given data source (e.g., simulation code, data set, script, ...) within the accuracy and time constraints set by the user. The toolbox minimizes the number of data points (which it selects automatically) since they are usually expensive.


Incremental update, fixing some cosmetic issues, coincides with JMLR publication.

Logo figtree 0.9.2

by vmorariu - January 17, 2009, 00:13:32 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 5755 views, 4685 downloads, 1 subscription

About: A library for fast computation of Gauss transforms in multiple dimensions, using the Improved Fast Gauss Transform and a tree data structure. This library is useful for efficient Kernel Density [...]


Initial Announcement on

Logo BRML toolbox 070711

by DavidBarber - July 17, 2011, 19:30:15 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 64057 views, 4675 downloads, 1 subscription

About: Bayesian Reasoning and Machine Learning toolbox


Fixed some small bugs and updated some demos.

Logo Theano 0.8.1

by jaberg - April 1, 2016, 19:22:01 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 27259 views, 4626 downloads, 3 subscriptions

About: A Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Dynamically generates CPU and GPU modules for good performance. Deep Learning Tutorials illustrate deep learning with Theano.


Theano 0.8.1 (29th of March, 2016)

* Fix compilation on Mac with CLT 7.3

Theano 0.8 (21th of March, 2016)

We recommend to everyone to upgrade to this version.


* Python 2 and 3 support with the same code base
* Faster optimization
* Integration of CuDNN for better GPU performance
* Many Scan improvements (execution speed up, ...)
* optimizer=fast_compile moves computation to the GPU.
* Better convolution on CPU and GPU. (CorrMM, cudnn, 3d conv, more parameter)
* Interactive visualization of graphs with d3viz
* cnmem (better memory management on GPU)
* BreakpointOp
* Multi-GPU for data parallism via Platoon (
* More pooling parameter supported
* Bilinear interpolation of images
* New GPU back-end:

    * Float16 new back-end (need cuda 7.5)
    * Multi dtypes
    * Multi-GPU support in the same process

Logo r-cran-glmnet 1.9-3

by r-cran-robot - March 1, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 21252 views, 4564 downloads, 1 subscription

About: Lasso and elastic-net regularized generalized linear models


Fetched by r-cran-robot on 2013-04-01 00:00:05.081872

Logo JMLR EnsembleSVM 2.0

by claesenm - March 31, 2014, 08:06:20 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 13357 views, 4398 downloads, 2 subscriptions

About: The EnsembleSVM library offers functionality to perform ensemble learning using Support Vector Machine (SVM) base models. In particular, we offer routines for binary ensemble models using SVM base classifiers. Experimental results have shown the predictive performance to be comparable with standard SVM models but with drastically reduced training time. Ensemble learning with SVM models is particularly useful for semi-supervised tasks.


The library has been updated and features a variety of new functionality as well as more efficient implementations of original features. The following key improvements have been made:

  1. Support for multithreading in training and prediction with ensemble models. Since both of these are embarassingly parallel, this has induced a significant speedup (3-fold on quad-core).
  2. Extensive programming framework for aggregation of base model predictions which allows highly efficient prototyping of new aggregation approaches. Additionally we provide several predefined strategies, including (weighted) majority voting, logistic regression and nonlinear SVMs of your choice -- be sure to check out the esvm-edit tool! The provided framework also allows you to efficiently program your own, novel aggregation schemes.
  3. Full code transition to C++11, the latest C++ standard, which enabled various performance improvements. The new release requires moderately recent compilers, such as gcc 4.7.2+ or clang 3.2+.
  4. Generic implementations of convenient facilities have been added, such as thread pools, deserialization factories and more.

The API and ABI have undergone significant changes, many of which are due to the transition to C++11.

Logo JMLR LWPR 1.2.4

by sklanke - February 6, 2012, 19:55:41 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 35528 views, 4359 downloads, 1 subscription

About: Locally Weighted Projection Regression (LWPR) is a recent algorithm that achieves nonlinear function approximation in high dimensional spaces with redundant and irrelevant input dimensions. At its [...]


Version 1.2.4

  • Corrected typo in lwpr.c (wrong function name for multi-threaded helper function on Unix systems) Thanks to Jose Luis Rivero

Logo ADAMS 0.4.12

by fracpete - December 21, 2015, 22:48:18 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 22717 views, 4317 downloads, 3 subscriptions

About: The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows.


Some highlights of this release:

  • added adams-nlp package for some basic natural language processing (Stanford parser, tweet parsing)
  • VLC-based video player
  • Fonts can be customized now via preferences dialog (e.g. for better unicode support)
  • Flows can be saved/loaded with custom encodings
  • Many tweaks to search, preview browser, flow editor to improve interaction

Logo r-cran-Boruta 5.1.0

by r-cran-robot - October 1, 2016, 00:00:03 CET [ Project Homepage BibTeX Download ] 20397 views, 4244 downloads, 2 subscriptions

About: Wrapper Algorithm for All Relevant Feature Selection


Fetched by r-cran-robot on 2016-10-01 00:00:03.742650

Showing Items 61-70 of 624 on page 7 of 63: First Previous 2 3 4 5 6 7 8 9 10 11 12 Next Last