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Logo r-cran-CoxBoost 1.4

by r-cran-robot - December 1, 2016, 00:00:05 CET [ Project Homepage BibTeX Download ] 30048 views, 5807 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 2016-12-01 00:00:05.209609


Logo r-cran-e1071 1.6-7

by r-cran-robot - December 1, 2016, 00:00:05 CET [ Project Homepage BibTeX Download ] 31914 views, 6429 downloads, 3 subscriptions

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About: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly

Changes:

Fetched by r-cran-robot on 2016-12-01 00:00:05.332167


Logo r-cran-Boruta 5.1.0

by r-cran-robot - December 1, 2016, 00:00:04 CET [ Project Homepage BibTeX Download ] 21524 views, 4430 downloads, 2 subscriptions

About: Wrapper Algorithm for All Relevant Feature Selection

Changes:

Fetched by r-cran-robot on 2016-12-01 00:00:04.099756


Logo r-cran-caret 6.0-73

by r-cran-robot - November 8, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 108546 views, 20843 downloads, 3 subscriptions

About: Classification and Regression Training

Changes:

Fetched by r-cran-robot on 2016-12-01 00:00:04.303959


Logo Tools for Regression and Classification 1.0.0

by matloff - October 29, 2016, 08:22:40 CET [ Project Homepage BibTeX Download ] 875 views, 106 downloads, 3 subscriptions

About: Toolkit for parametric and nonparametric regression and classification.

Changes:

Initial Announcement on mloss.org.


Logo rectools a Novel Toolbox for Recommender Systems 1.0.0

by matloff - October 29, 2016, 07:41:58 CET [ Project Homepage BibTeX Download ] 764 views, 125 downloads, 2 subscriptions

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About: Novel R toolbox for collaborative filtering recommender systems.

Changes:

Initial Announcement on mloss.org.


Logo python weka wrapper3 0.1.1

by fracpete - October 27, 2016, 23:46:52 CET [ Project Homepage BibTeX Download ] 835 views, 108 downloads, 3 subscriptions

About: A thin Python3 wrapper that uses the javabridge Python library to communicate with a Java Virtual Machine executing Weka API calls.

Changes:
  • plot_learning_curve method of module weka.plot.classifiers now accepts a list of test sets; * is index of test set in label template string
  • added missing_value() methods to weka.core.dataset module and Instance class
  • output variable y for convenience method create_instances_from_lists in module weka.core.dataset is now optional
  • added convenience method create_instances_from_matrices to weka.core.dataset module to easily create an Instances object from numpy matrices (x and y)

Logo JMLR GPML Gaussian Processes for Machine Learning Toolbox 4.0

by hn - October 19, 2016, 10:15:05 CET [ Project Homepage BibTeX Download ] 38804 views, 8708 downloads, 5 subscriptions

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About: The GPML toolbox is a flexible and generic Octave/Matlab implementation of inference and prediction with Gaussian process models. The toolbox offers exact inference, approximate inference for non-Gaussian likelihoods (Laplace's Method, Expectation Propagation, Variational Bayes) as well for large datasets (FITC, VFE, KISS-GP). A wide range of covariance, likelihood, mean and hyperprior functions allows to create very complex GP models.

Changes:

A major code restructuring effort did take place in the current release unifying certain inference functions and allowing more flexibility in covariance function composition. We also redesigned the whole derivative computation pipeline to strongly improve the overall runtime. We finally include grid-based covariance approximations natively.

More generic sparse approximation using Power EP

  • unified treatment of FITC approximation, variational approaches VFE and hybrids

  • inducing input optimisation for all (compositions of) covariance functions dropping the previous limitation to a few standard examples

  • infFITC is now covered by the more generic infGaussLik function

Approximate covariance object unifying sparse approximations, grid-based approximations and exact covariance computations

  • implementation in cov/apx, cov/apxGrid, cov/apxSparse

  • generic infGaussLik unifies infExact, infFITC and infGrid

  • generic infLaplace unifies infLaplace, infFITC_Laplace and infGrid_Laplace

Hiearchical structure of covariance functions

  • clear hierachical compositional implementation

  • no more code duplication as present in covSEiso and covSEard pairs

  • two mother covariance functions

    • covDot for dot-product-based covariances and

    • covMaha for Mahalanobis-distance-based covariances

  • a variety of modifiers: eye, iso, ard, proj, fact, vlen

  • more flexibility as more variants are available and possible

  • all covariance functions offer derivatives w.r.t. inputs

Faster derivative computations for mean and cov functions

  • switched from partial derivatives to directional derivatives

  • simpler and more concise interface of mean and cov functions

  • much faster marginal likelihood derivative computations

  • simpler and more compact code

New mean functions

  • new mean/meanWSPC (Weighted Sum of Projected Cosines or Random Kitchen Sink features) following a suggestion by William Herlands

  • new mean/meanWarp for constructing a new mean from an existing one by means of a warping function adapted from William Herlands

New optimizer

  • added a new minimize_minfunc, contributed by Truong X. Nghiem

New GLM link function

  • added the twice logistic link function util/glm_invlink_logistic2

Smaller fixes

  • two-fold speedup of util/elsympol used by covADD by Truong X. Nghiem

  • bugfix in util/logphi as reported by John Darby


Logo python weka wrapper 0.3.9

by fracpete - October 18, 2016, 22:55:00 CET [ Project Homepage BibTeX Download ] 36785 views, 7241 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:
  • plot_learning_curve method of module weka.plot.classifiers now accepts a list of test sets; * is index of test set in label template string
  • added missing_value() methods to weka.core.dataset module and Instance class
  • output variable y for convenience method create_instances_from_lists in module weka.core.dataset is now optional
  • added convenience method create_instances_from_matrices to weka.core.dataset module to easily create an Instances object from numpy matrices (x and y)

Logo r-cran-arules 1.5-0

by r-cran-robot - September 23, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 34712 views, 7323 downloads, 3 subscriptions

About: Mining Association Rules and Frequent Itemsets

Changes:

Fetched by r-cran-robot on 2016-12-01 00:00:03.836252


Logo r-cran-bst 0.3-14

by r-cran-robot - September 12, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 6475 views, 1506 downloads, 2 subscriptions

About: Gradient Boosting

Changes:

Fetched by r-cran-robot on 2016-12-01 00:00:04.167277


Logo NaN toolbox 3.0.3

by schloegl - August 19, 2016, 11:08:57 CET [ Project Homepage BibTeX Download ] 52982 views, 10700 downloads, 3 subscriptions

About: NaN-toolbox is a statistics and machine learning toolbox for handling data with and without missing values.

Changes:

Changes in v.3.0.3 - improve compatibility for Octave on Windows

Changes in v.3.0.1 - fix packaging for octave

Changes in v.2.8.5 - bug fix: trimmean - compiler support for gcc-5 and clang - fix typos

For details see the CHANGELOG at http://pub.ist.ac.at/~schloegl/matlab/NaN/CHANGELOG


Logo Sparse Compositional Metric Learning v1.11

by bellet - August 2, 2016, 11:43:03 CET [ BibTeX BibTeX for corresponding Paper Download ] 5303 views, 1594 downloads, 3 subscriptions

About: Scalable learning of global, multi-task and local metrics from data

Changes:

Minor bug fix in multi-task objective computation (thanks to Junjie Hu).


Logo r-cran-CORElearn 1.48.0

by r-cran-robot - July 23, 2016, 00:00:00 CET [ Project Homepage BibTeX Download ] 14403 views, 3100 downloads, 0 subscriptions

About: Classification, Regression and Feature Evaluation

Changes:

Fetched by r-cran-robot on 2016-12-01 00:00:05.140415


Logo scikit multilearn 0.0.3

by niedakh - June 15, 2016, 19:28:32 CET [ Project Homepage BibTeX Download ] 1094 views, 273 downloads, 2 subscriptions

About: A native Python, scikit-compatible, implementation of a variety of multi-label classification algorithms.

Changes:

Initial Announcement on mloss.org.


Logo JMLR GPstuff 4.7

by avehtari - June 9, 2016, 17:45:15 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 38280 views, 9221 downloads, 3 subscriptions

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About: The GPstuff toolbox is a versatile collection of Gaussian process models and computational tools required for inference. The tools include, among others, various inference methods, sparse approximations and model assessment methods.

Changes:

2016-06-09 Version 4.7

Development and release branches available at https://github.com/gpstuff-dev/gpstuff

New features

  • Simple Bayesian Optimization demo

Improvements

  • Improved use of PSIS
  • More options added to gp_monotonic
  • Monotonicity now works for additive covariance functions with selected variables
  • Possibility to use gpcf_squared.m-covariance function with derivative observations/monotonicity
  • Default behaviour made more robust by changing default jitter from 1e-9 to 1e-6
  • LA-LOO uses the cavity method as the default (see Vehtari et al (2016). Bayesian leave-one-out cross-validation approximations for Gaussian latent variable models. JMLR, accpeted for publication)
  • Selected variables -option works now better with monotonicity

Bugfixes

  • small error in derivative observation computation fixed
  • several minor bug fixes

Logo AutoWEKA 2.0

by larsko - May 19, 2016, 19:58:41 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1703 views, 541 downloads, 3 subscriptions

About: Automatically finds the best model with its best parameter settings for a given classification or regression task.

Changes:

Initial Announcement on mloss.org.


Logo JMLR JKernelMachines 3.0

by dpicard - May 4, 2016, 17:53:28 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 33460 views, 7219 downloads, 4 subscriptions

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About: machine learning library in java for easy development of new kernels and kernel algorithms

Changes:

Version 3.0

/! Warning: this version is incompatible with previous code

  • change license to BSD 3-clauses
  • change package name to net.jkernelmachines
  • change to maven build system (available through central)
  • online training interfaces to allow continuous online learning
  • add a new budget oriented kernel classifier
  • new kernel and processing especially for strings

Logo r-cran-bnclassify 0.3.2

by r-cran-robot - May 1, 2016, 00:00:04 CET [ Project Homepage BibTeX Download ] 2219 views, 567 downloads, 2 subscriptions

About: Learning Discrete Bayesian Network Classifiers from Data

Changes:

Fetched by r-cran-robot on 2016-05-01 00:00:04.546512


Logo pymanopt 0.1

by j_towns - April 7, 2016, 14:44:27 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1367 views, 240 downloads, 3 subscriptions

About: Python toolbox for manifold optimization with support for automatic differentiation

Changes:

Initial Announcement on mloss.org.


Showing Items 1-20 of 223 on page 1 of 12: 1 2 3 4 5 6 Next Last