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Logo r-cran-e1071 1.6-7

by r-cran-robot - September 1, 2015, 00:00:10 CET [ Project Homepage BibTeX Download ] 18304 views, 3851 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 YCML 0.2.2

by yconst - August 24, 2015, 20:28:45 CET [ Project Homepage BibTeX Download ] 301 views, 50 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 ] 488 views, 85 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 ] 347 views, 64 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 ] 264 views, 70 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 ] 1922 views, 689 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.


Logo JMLR dlib ml 18.17

by davis685 - August 16, 2015, 04:33:39 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 110233 views, 18526 downloads, 4 subscriptions

About: This project is a C++ toolkit containing machine learning algorithms and tools for creating complex software in C++ to solve real world problems.

Changes:

This release adds new clustering tools as well as upgrades the shape_predictor to allow training on datasets with missing landmarks. It also includes bug fixes and minor usability improvements.


Logo PyScriptClassifier 0.0.1

by cjb60 - August 15, 2015, 05:14:59 CET [ Project Homepage BibTeX Download ] 379 views, 104 downloads, 1 subscription

About: Easily prototype WEKA classifiers using Python scripts.

Changes:

Initial Announcement on mloss.org.


Logo OpenNN 2.2

by Sergiointelnics - August 10, 2015, 16:56:57 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 3116 views, 543 downloads, 3 subscriptions

About: OpenNN is an open source class library written in C++ programming language which implements neural networks, a main area of deep learning research. The library has been designed to learn from both data sets and mathematical models.

Changes:

New algorithms, correction of bugs.


Logo Armadillo library 5.300

by cu24gjf - August 7, 2015, 03:09:40 CET [ Project Homepage BibTeX Download ] 61848 views, 12627 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 generalised Schur decomposition: qz()
  • added .has_inf() and .has_nan()
  • expanded interp1() to handle out-of-domain locations
  • expanded sparse matrix class with .set_imag() and .set_real()
  • expanded imag(), real() and conj() to handle sparse matrices
  • expanded diagmat(), reshape() and resize() to handle sparse matrices
  • faster sparse sum()
  • faster row-wise sum(), mean(), min(), max()
  • updated physical constants to NIST 2014 CODATA values
  • fixes for handling sparse submatrix views

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