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Logo XGBoost v0.2

by crowwork - May 17, 2014, 07:27:59 CET [ Project Homepage BibTeX Download ] 1677 views, 279 downloads, 1 subscription

About: eXtreme gradient boosting (tree) library. Features: - Sparse feature format allows easy handling of missing values, and improve computation efficiency. - Efficient parallel implementation that optimizes memory and computation. - Python interface

Changes:

New features: - Python interface - New objectives: weighted training, pairwise rank, multiclass softmax - Comes with example script on Kaggle Higgs competition, 20 times faster than skilearn's GBRT


Logo r-cran-bigrf 0.1-11

by r-cran-robot - May 16, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 2517 views, 665 downloads, 0 subscriptions

About: Big Random Forests

Changes:

Fetched by r-cran-robot on 2014-08-01 00:00:03.758457


Logo r-cran-CORElearn 0.9.43

by r-cran-robot - May 11, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 3935 views, 941 downloads, 0 subscriptions

About: Classification, regression, feature evaluation and ordinal evaluation

Changes:

Fetched by r-cran-robot on 2014-08-01 00:00:04.269495


Logo Java deep neural networks with GPU 0.2.0-alpha

by hok - May 10, 2014, 14:22:30 CET [ Project Homepage BibTeX Download ] 810 views, 177 downloads, 2 subscriptions

About: GPU-accelerated java deep neural networks

Changes:

Initial Announcement on mloss.org.


Logo r-cran-bst 0.3-4

by r-cran-robot - May 8, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 1347 views, 301 downloads, 0 subscriptions

About: Gradient Boosting

Changes:

Fetched by r-cran-robot on 2014-08-01 00:00:04.045465


Logo peewit 0.10

by lorenz - May 7, 2014, 16:04:18 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 15398 views, 3055 downloads, 1 subscription

About: peewit provides services for programming, running and result examination of machine learning experiments. It does not include any ML algorithms, has no GUI, and presumes certain uniformity of the experimental layout. But it does not make assumptions on the type of task under study. The current version-number is 0.10.

Changes:

v-cube with side-cubes


Logo PredictionIO 0.7.0

by simonc - April 29, 2014, 20:59:57 CET [ Project Homepage BibTeX Download ] 5131 views, 986 downloads, 2 subscriptions

About: Open Source Machine Learning Server

Changes:
  • Single machine version for small-to-medium scale deployments
  • Integrated GraphChi (disk-based large-scale graph computation) and algorithms: ALS, CCD++, SGD, CLiMF
  • Improved runtime for training and offline evaluation
  • Bug fixes

See release notes - https://predictionio.atlassian.net/secure/ReleaseNote.jspa?projectId=10000&version=11801


Logo RFD 1.0

by openpr_nlpr - April 28, 2014, 10:34:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 729 views, 151 downloads, 1 subscription

About: This is an unoptimized implementation of the RFD binary descriptor, which is published in the following paper. B. Fan, et al. Receptive Fields Selection for Binary Feature Description. IEEE Transaction on Image Processing, 2014. doi: http://dx.doi.org/10.1109/TIP.2014.2317981

Changes:

Initial Announcement on mloss.org.


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 and embedded devices that operates under fast duty cycles (e.g., < 30 ms). RLLib has been tested and evaluated on RoboCup 3D soccer simulation agents, physical NAO V4 humanoid robots, and Tiva C series launchpad microcontrollers to predict, control, learn behaviors, and represent learnable knowledge. The implementation of the RLLib library is inspired by the RLPark API, which is a library of temporal-difference learning algorithms written in Java.

Changes:

Current release version is v2.0.


Logo WEKA 3.7.11

by mhall - April 24, 2014, 10:13:12 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 38270 views, 5504 downloads, 2 subscriptions

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About: The Weka workbench contains a collection of visualization tools and algorithms for data analysis and predictive modelling, together with graphical user interfaces for easy access to this [...]

Changes:

In core weka:

  • Bagging and RandomForest are now faster if the base learner is a WeightedInstancesHandler
  • Speed-ups for REPTree and other classes that use entropy calculations
  • Many other code improvements and speed-ups
  • Additional statistics available in the output of LinearRegression and SimpleLinearRegression. Contributed by Chris Meyer
  • Reduced memory consumption in BayesNet
  • Improvements to the package manager: load status of individual packages can now be toggled to prevent a package from loading; "Available" button now displays the latest version of all available packages that are compatible with the base version of Weka
  • RandomizableFilteredClassifier
  • Canopy clusterer
  • ImageViewer KnowledgeFlow component
  • PMML export support for Logistic. Infrastructure and changes contributed by David Person
  • Extensive tool-tips now displayed in the Explorer's scheme selector tree lists
  • Join KnowledgeFlow component for performing an inner join on two incoming streams/data sets

In packages:

  • IWSSembeded package, contributed by Pablo Bermejo
  • CVAttributeEval package, contributed by Justin Liang
  • distributedWeka package for Hadoop
  • Improvements to multiLayerPerceptrons and addtion of MLPAutoencoder
  • Code clean-up in many packages

Showing Items 51-60 of 537 on page 6 of 54: Previous 1 2 3 4 5 6 7 8 9 10 11 Next Last