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Logo JMLR Information Theoretical Estimators 0.60

by szzoli - June 3, 2014, 00:17:33 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 56768 views, 11894 downloads, 2 subscriptions

About: ITE (Information Theoretical Estimators) is capable of estimating many different variants of entropy, mutual information, divergence, association measures, cross quantities and kernels on distributions. Thanks to its highly modular design, ITE supports additionally (i) the combinations of the estimation techniques, (ii) the easy construction and embedding of novel information theoretical estimators, and (iii) their immediate application in information theoretical optimization problems.

Changes:
  • Quick test on the Tsallis divergence: introduced.

  • Pearson chi square divergence estimation in the exponential family (MLE + analytical formula): added.


Logo r-cran-bigrf 0.1-11

by r-cran-robot - May 16, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 3503 views, 851 downloads, 0 subscriptions

About: Big Random Forests

Changes:

Fetched by r-cran-robot on 2015-01-01 00:00:04.544126


Logo A Pattern Recognizer In Lua with ANNs v0.3.1

by pakozm - May 30, 2014, 10:49:10 CET [ Project Homepage BibTeX Download ] 3143 views, 738 downloads, 2 subscriptions

About: APRIL-ANN toolkit (A Pattern Recognizer In Lua with Artificial Neural Networks). This toolkit incorporates ANN algorithms (as dropout, stacked denoising auto-encoders, convolutional neural networks), with other pattern recognition methods as hidden makov models (HMMs) among others.

Changes:
  • Removed bugs.
  • Added Travis CI support.
  • KNN and clustering algorithms.
  • ZCA and PCA whitening.
  • Quickprop and ASGD optimization algorithms.
  • QLearning trainer.
  • Sparse float matrices are available in CSC an CSR formats.
  • Compilation with Homebrew and MacPorts available.
  • Compilation issues in Ubuntu 12.04 solved.

Logo Sparse Compositional Metric Learning v1

by bellet - May 28, 2014, 09:54:10 CET [ BibTeX BibTeX for corresponding Paper Download ] 1014 views, 344 downloads, 2 subscriptions

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

Changes:

Initial Announcement on mloss.org.


Logo GESL v1

by bellet - May 28, 2014, 09:42:21 CET [ BibTeX BibTeX for corresponding Paper Download ] 755 views, 289 downloads, 1 subscription

About: Learning string edit distance / similarity from data

Changes:

Initial Announcement on mloss.org.


Logo Weight HMM 1.0

by SongTao - May 27, 2014, 15:29:20 CET [ BibTeX Download ] 575 views, 203 downloads, 1 subscription

About: Discovering short linear protein motif based on selective training of profile hidden Markov models

Changes:

Initial Announcement on mloss.org.


Logo Mr. 1.0

by SongTao - May 27, 2014, 15:20:40 CET [ BibTeX Download ] 484 views, 196 downloads, 1 subscription

About: Discovering short linear protein motif based on selective training of profile hidden Markov models

Changes:

Initial Announcement on mloss.org.


Logo Kernel Adaptive Filtering Toolbox 1.4

by steven2358 - May 26, 2014, 18:24:23 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3885 views, 662 downloads, 1 subscription

About: A Matlab benchmarking toolbox for online and adaptive regression with kernels.

Changes:
  • Improvements and demo script for profiler
  • Initial version of documentation
  • Several new algorithms

Logo Java deep neural networks with GPU 0.2.0-alpha

by hok - May 10, 2014, 14:22:30 CET [ Project Homepage BibTeX Download ] 1551 views, 357 downloads, 2 subscriptions

About: GPU-accelerated java deep neural networks

Changes:

Initial Announcement on mloss.org.


Logo peewit 0.10

by lorenz - May 7, 2014, 16:04:18 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 17639 views, 3481 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


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