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Showing Items 61-70 of 519 on page 7 of 52: First Previous 2 3 4 5 6 7 8 9 10 11 12 Next Last

About: RLLib is a lightweight C++ template library that implements incremental, standard, and gradient temporal-difference learning algorithms in Reinforcement Learning. It is an optimized library for robotic applications that operates under fast duty cycles (e.g., ≤ 30 ms). RLLib has been tested and evaluated on Robocup 3D Soccer Simulation agents and physical NAO V4 humanoid robots to learn behaviors and represent learnable knowledge.

Changes:

Current release version is v1.6.


Logo Jubatus 0.5.0

by hido - November 30, 2013, 17:41:50 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1395 views, 228 downloads, 1 subscription

About: Jubatus is a general framework library for online and distributed machine learning. It currently supports classification, regression, clustering, recommendation, nearest neighbors, anomaly detection, and graph analysis. Loose model sharing provides higher scalability, better performance, and real-time capabilities, by combining online learning with distributed computations.

Changes:

0.5.0 add new supports for clustering and nearest neighbors. For more detail, see http://t.co/flMcTcYZVs


Logo hca 0.41

by wbuntine - November 29, 2013, 03:16:11 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1547 views, 252 downloads, 2 subscriptions

About: Non-parametric topic models (HDP-LDA, DCMLDA, and other variants of LDA) implemented in C using efficient Gibbs sampling, with hyperparameter sampling and other flexible controls.

Changes:

Added example on using burstiness.


Logo r-cran-evtree 0.1-4

by r-cran-robot - November 25, 2013, 00:00:00 CET [ Project Homepage BibTeX Download ] 2417 views, 498 downloads, 0 subscriptions

About: Evolutionary Learning of Globally Optimal Trees

Changes:

Fetched by r-cran-robot on 2014-04-01 00:00:04.866198


Logo GBAC 0.0.4

by henrydcl - November 22, 2013, 20:04:16 CET [ BibTeX BibTeX for corresponding Paper Download ] 1565 views, 552 downloads, 2 subscriptions

About: Probabilistic performance evaluation for multiclass classification using the posterior balanced accuracy

Changes:

Added bibtex information.


Logo Bayesian Model Averaging Library 0.3

by duric1 - November 16, 2013, 04:42:05 CET [ Project Homepage BibTeX Download ] 568 views, 121 downloads, 1 subscription

About: Bayesian Model Averaging for linear models with a wide choice of (customizable) priors. Built-in priorss include coefficient priors (fixed, flexible and hyper-g priors), 5 kinds of model priors, moreover model sampling by enumeration or various MCMC approaches.

Changes:

Initial Announcement on mloss.org.


  • Authors: Duric
  • License: Gnu
  • Programming Language: R

Logo JMLR GPML Gaussian Processes for Machine Learning Toolbox 3.4

by hn - November 11, 2013, 14:46:52 CET [ Project Homepage BibTeX Download ] 14686 views, 3880 downloads, 3 subscriptions

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About: The GPML toolbox is a flexible and generic Octave 3.2.x and Matlab 7.x implementation of inference and prediction in Gaussian Process (GP) models.

Changes:
  • derivatives w.r.t. inducing points xu in infFITC, infFITC_Laplace, infFITC_EP so that one can treat the inducing points either as fixed given quantities or as additional hyperparameters
  • new GLM likelihood likExp for inter-arrival time modeling
  • new GLM likelihood likWeibull for extremal value regression
  • new GLM likelihood likGumbel for extremal value regression
  • new mean function meanPoly depending polynomially on the data
  • infExact can deal safely with the zero noise variance limit
  • support of GP warping through the new likelihood function likGaussWarp

Logo libstb 1.7

by wbuntine - November 8, 2013, 22:48:40 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3185 views, 595 downloads, 1 subscription

About: Generalised Stirling Numbers for Pitman-Yor Processes: this library provides ways of computing generalised 2nd-order Stirling numbers for Pitman-Yor and Dirichlet processes. Included is a tester and parameter optimiser. This accompanies Buntine and Hutter's article: http://arxiv.org/abs/1007.0296, and a series of papers by Buntine and students at NICTA and ANU.

Changes:

This version, in its default form, doesn't need any other libraries, no GSL. Done to make installation on non-Linux boxes easier.


About: The glm-ie toolbox contains scalable estimation routines for GLMs (generalised linear models) and SLMs (sparse linear models) as well as an implementation of a scalable convex variational Bayesian inference relaxation. We designed the glm-ie package to be simple, generic and easily expansible. Most of the code is written in Matlab including some MEX files. The code is fully compatible to both Matlab 7.x and GNU Octave 3.2.x. Probabilistic classification, sparse linear modelling and logistic regression are covered in a common algorithmical framework allowing for both MAP estimation and approximate Bayesian inference.

Changes:

added factorial mean field inference as a third algorithm complementing expectation propagation and variational Bayes

generalised non-Gaussian potentials so that affine instead of linear functions of the latent variables can be used


Logo DCABags 0.63

by wbuntine - November 8, 2013, 13:31:04 CET [ Project Homepage BibTeX Download ] 1060 views, 199 downloads, 2 subscriptions

About: Document/Text preprocessing for topic models: suite of Perl scripts for preprocessing text collections to create dictionaries and bag/list files for use by topic modelling software.

Changes:

Cleaned up man pages and created user guide.


Showing Items 61-70 of 519 on page 7 of 52: First Previous 2 3 4 5 6 7 8 9 10 11 12 Next Last