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About: Nowadays, this is very popular to use the deep architectures in machine learning. Deep Belief Networks (DBNs) are deep architectures that use stack of Restricted Boltzmann Machines (RBM) to create a powerful generative model using training data. DBNs have many ability like feature extraction and classification that are used in many applications like image processing, speech processing and etc. According to the results of the experiments conducted on MNIST (image), ISOLET (speech), and 20 Newsgroups (text) datasets, it was shown that the toolbox can learn automatically a good representation of the input from unlabeled data with better discrimination between different classes. In addition, the toolbox supports different sampling methods (e.g. Gibbs, CD, PCD and our new FEPCD method), different sparsity methods (quadratic, rate distortion and our new normal method), different RBM types (generative and discriminative), GPU, etc. The toolbox is a user-friendly open source software and is freely available on the website.

Changes:

New in toolbox

  • Bug was fixed for computeBatchSize function in Linux.
  • Revision of some demo scripts. cardinal

Logo Armadillo library 5.500

by cu24gjf - September 5, 2015, 04:52:44 CET [ Project Homepage BibTeX Download ] 62079 views, 12655 downloads, 5 subscriptions

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About: Armadillo is a template C++ linear algebra library aiming towards a good balance between speed and ease of use, with a function syntax similar to MATLAB. Matrix decompositions are provided through optional integration with LAPACK, or one of its high performance drop-in replacements (eg. Intel MKL, OpenBLAS).

Changes:
  • added null() for finding the orthonormal basis of null space
  • added find_unique() for finding indices of unique values
  • added diff() for calculating differences between consecutive elements
  • added cumprod() for calculating cumulative product
  • expanded interp1() to handle repeated locations
  • expanded unique() to handle complex numbers
  • expanded object constructors to handle size() based specification of dimensions
  • faster handling of submatrix rows
  • faster clamp()
  • faster flipud()
  • faster row-wise cumsum()
  • fixes for handling sparse matrices
  • fix for k-means clustering in gmm_diag class

Logo r-cran-e1071 1.6-7

by r-cran-robot - September 1, 2015, 00:00:10 CET [ Project Homepage BibTeX Download ] 18436 views, 3880 downloads, 2 subscriptions

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

Changes:

Fetched by r-cran-robot on 2015-09-01 00:00:10.161878


Logo r-cran-CoxBoost 1.4

by r-cran-robot - September 1, 2015, 00:00:09 CET [ Project Homepage BibTeX Download ] 21807 views, 4371 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 2015-09-01 00:00:09.856160


Logo r-cran-Boruta 4.0.0

by r-cran-robot - September 1, 2015, 00:00:07 CET [ Project Homepage BibTeX Download ] 12307 views, 2547 downloads, 2 subscriptions

About: Wrapper Algorithm for All-Relevant Feature Selection

Changes:

Fetched by r-cran-robot on 2015-09-01 00:00:07.144643


Logo YCML 0.2.2

by yconst - August 24, 2015, 20:28:45 CET [ Project Homepage BibTeX Download ] 345 views, 57 downloads, 2 subscriptions

About: A Machine Learning framework for Objective-C and Swift (OS X / iOS)

Changes:

Initial Announcement on mloss.org.


Logo Java Data Mining Package 0.3.0

by arndt - August 19, 2015, 15:44:46 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 546 views, 92 downloads, 3 subscriptions

About: A Java library for machine learning and data analytics

Changes:

Initial Announcement on mloss.org.


Logo jLDADMM 1.0

by dqnguyen - August 19, 2015, 12:52:36 CET [ Project Homepage BibTeX Download ] 386 views, 68 downloads, 2 subscriptions

About: The Java package jLDADMM is released to provide alternative choices for topic modeling on normal or short texts. It provides implementations of the Latent Dirichlet Allocation topic model and the one-topic-per-document Dirichlet Multinomial Mixture model (i.e. mixture of unigrams), using collapsed Gibbs sampling. In addition, jLDADMM supplies a document clustering evaluation to compare topic models.

Changes:

Initial Announcement on mloss.org.


Logo Presage 0.9.1

by Dzmitry_Lahoda - August 18, 2015, 10:13:05 CET [ BibTeX Download ] 286 views, 75 downloads, 3 subscriptions

About: Presage is an intelligent predictive text entry platform.

Changes:

Initial Announcement on mloss.org.


Logo Sparse Compositional Metric Learning v1.1

by bellet - August 16, 2015, 16:41:20 CET [ BibTeX BibTeX for corresponding Paper Download ] 1954 views, 696 downloads, 2 subscriptions

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

Changes:

Various minor bug fixes and improvements. The basis and triplet generation now fully supports with datasets with very small classes and arbitrary labels (no need to be consecutive or positive). The computational and memory efficiency of the code when data is high dimensional has been largely improved, and we generate a rectangular (smaller) projection matrix when the number of selected basis is smaller than the dimension. K-NN classification with local metrics has been optimized and made significantly less costly in both time and memory.


Showing Items 1-10 of 595 on page 1 of 60: 1 2 3 4 5 6 Next Last