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Logo BayesPy 0.2.2

by jluttine - November 1, 2014, 11:06:01 CET [ Project Homepage BibTeX Download ] 1900 views, 549 downloads, 3 subscriptions

About: Variational Bayesian inference tools for Python

Changes:
  • Fix normalization of categorical Markov chain probabilities (fixes HMM demo)
  • Fix initialization from parameter values

Logo python weka wrapper 0.1.13

by fracpete - November 1, 2014, 09:59:54 CET [ Project Homepage BibTeX Download ] 5283 views, 1111 downloads, 3 subscriptions

About: A thin Python wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls.

Changes:
  • added "get_class" method to "weka.core.utils" which returns the Python class object associated with the classname in dot-notation
  • "from_commandline" method in "weka.core.utils" now takes an optional "classname" argument, which is the classname (in dot-notation) of the wrapper class to return - instead of the generic "OptionHandler"
  • added "Kernel" and "KernelClassifier" convenience classes to better handle kernel based classifiers

Logo r-cran-CoxBoost 1.4

by r-cran-robot - November 1, 2014, 00:00:04 CET [ Project Homepage BibTeX Download ] 17193 views, 3465 downloads, 3 subscriptions

About: Cox models by likelihood based boosting for a single survival endpoint or competing risks

Changes:

Fetched by r-cran-robot on 2014-11-01 00:00:04.781816


Logo r-cran-Boruta 3.1.0

by r-cran-robot - November 1, 2014, 00:00:04 CET [ Project Homepage BibTeX Download ] 7267 views, 1541 downloads, 2 subscriptions

About: A wrapper algorithm for all-relevant feature selection

Changes:

Fetched by r-cran-robot on 2014-11-01 00:00:04.390118


Logo libcluster 2.1

by dsteinberg - October 31, 2014, 23:27:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 55 views, 5 downloads, 1 subscription

About: An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.

Changes:

Initial Announcement on mloss.org.


Logo LogRegCrowds, Logistic Regression from Crowds 1.0

by fmpr - October 30, 2014, 19:10:23 CET [ Project Homepage BibTeX Download ] 114 views, 14 downloads, 1 subscription

About: LogReg-Crowds is a collection of Julia implementations of various approaches for learning a logistic regression model multiple annotators and crowds, namely the works of Raykar et al. (2010), Rodrigues et al. (2013) and Dawid and Skene (1979).

Changes:

Initial Announcement on mloss.org.


Logo libcmaes 0.9.2

by beniz - October 30, 2014, 14:08:34 CET [ Project Homepage BibTeX Download ] 1976 views, 416 downloads, 3 subscriptions

About: Libcmaes is a multithreaded C++11 library (with Python bindings) for high performance blackbox stochastic optimization of difficult, possibly non-linear and non-convex functions, using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy. Libcmaes is useful to minimize / maximize any function, without information regarding gradient or derivability.

Changes:

Main changes:

  • new VD-CMA algorithm with linear time and space complexity for black-box optimization

  • API control of stopping criteria, with individual activation scheme

  • improved memory control when tackling large-scale optimization problems

  • solutions now support printing out in pheno space

  • improved API of solutions object

  • fixed compilation error with gcc 4.7


About: This library implements the Optimum-Path Forest classifier for unsupervised and supervised learning.

Changes:

Initial Announcement on mloss.org.


Logo pySPACE 1.2

by krell84 - October 29, 2014, 15:36:28 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1918 views, 415 downloads, 1 subscription

About: --Signal Processing and Classification Environment in Python using YAML and supporting parallelization-- pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due to its modular architecture, the software can easily be extended with new processing nodes and more general operations. Large scale empirical investigations can be configured using simple text- configuration files in the YAML format, executed on different (distributed) computing modalities, and evaluated using an interactive graphical user interface.

Changes:

improved testing, improved documentation, windows compatibility, more algorithms


Logo BACOM2 1.0

by fydennis - October 24, 2014, 15:25:38 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 269 views, 33 downloads, 2 subscriptions

About: revised version of BACOM

Changes:

Initial Announcement on mloss.org.


Showing Items 1-10 of 543 on page 1 of 55: 1 2 3 4 5 6 Next Last