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Showing Items 31-40 of 535 on page 4 of 54: Previous 1 2 3 4 5 6 7 8 9 Next Last

Logo hca 0.5

by wbuntine - June 4, 2014, 04:08:12 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 2797 views, 511 downloads, 3 subscriptions

About: Multi-core non-parametric and bursty 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:

Implemented multi-core using atomic operations. Improved manual. Various extensions and bugs fixed. Also "-B" flag has a different argument, so watch it!


Logo JMLR Information Theoretical Estimators 0.60

by szzoli - June 3, 2014, 00:17:33 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 40809 views, 8840 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-caret 6.0-30

by r-cran-robot - June 3, 2014, 00:00:00 CET [ Project Homepage BibTeX Download ] 49672 views, 10699 downloads, 1 subscription

About: Classification and Regression Training

Changes:

Fetched by r-cran-robot on 2014-07-01 00:00:04.862375


Logo A Pattern Recognizer In Lua with ANNs v0.3.1

by pakozm - May 30, 2014, 10:49:10 CET [ Project Homepage BibTeX Download ] 1913 views, 447 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 ] 472 views, 119 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 ] 289 views, 84 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 ] 282 views, 67 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 ] 197 views, 64 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 ] 2443 views, 376 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 Caffe 0.999

by sergeyk - May 20, 2014, 23:51:09 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 2319 views, 372 downloads, 2 subscriptions

About: Caffe aims to provide computer vision scientists with a clean, modifiable implementation of state-of-the-art deep learning algorithms. We believe that Caffe is the fastest available GPU CNN implementation. Caffe also provides seamless switching between CPU and GPU, which allows one to train models with fast GPUs and then deploy them on non-GPU clusters. Even in CPU mode, computing predictions on an image takes only 20 ms (in batch mode).

Changes:

https://github.com/BVLC/caffe/releases/tag/v0.999


Showing Items 31-40 of 535 on page 4 of 54: Previous 1 2 3 4 5 6 7 8 9 Next Last