All entries.
Showing Items 1-10 of 584 on page 1 of 59: 1 2 3 4 5 6 Next Last

Logo deepdetect 0.1

by beniz - June 2, 2015, 09:25:28 CET [ Project Homepage BibTeX Download ] 78 views, 8 downloads, 1 subscription

About: A Deep Learning API and server

Changes:

Initial Announcement on mloss.org.


Logo r-cran-caret 6.0-47

by r-cran-robot - May 4, 2015, 00:00:00 CET [ Project Homepage BibTeX Download ] 67181 views, 13895 downloads, 1 subscription

About: Classification and Regression Training

Changes:

Fetched by r-cran-robot on 2015-06-01 00:00:03.796108


Logo LMW Tree 1.0

by cdevries - May 30, 2015, 11:42:23 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 210 views, 26 downloads, 1 subscription

About: Learning M-Way Tree - Web Scale Clustering - EM-tree, K-tree, k-means, TSVQ, repeated k-means, clustering, random projections, random indexing, hashing, bit signatures

Changes:

Initial Announcement on mloss.org.


Logo ABACOC Adaptive Ball Cover for Classification 2.0

by kikot - May 29, 2015, 11:57:28 CET [ BibTeX BibTeX for corresponding Paper Download ] 1632 views, 439 downloads, 3 subscriptions

About: Human Activity Recognition via Nonparametric Incremental Learning. Java and Matlab code already available.

Changes:

version 2: parameterless system, constant model size, prediction confidence (for active learning)


Logo Probabilistic Classification Vector Machine 0.21

by fmschleif - May 26, 2015, 16:24:17 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 958 views, 176 downloads, 3 subscriptions

About: PCVM library a c++/armadillo implementation of the Probabilistic Classification Vector Machine.

Changes:

27.05.2015: - Matlab binding under Windows available. Added a solution file for VS'2013 express to compile a matlab mex binding. Can not yet confirm that under windows the code is really using multiple cores (under linux it does)


Logo KeLP 1.1.0

by kelpadmin - May 26, 2015, 15:47:03 CET [ Project Homepage BibTeX Download ] 660 views, 144 downloads, 2 subscriptions

About: Kernel-based Learning Platform (KeLP) is Java framework that supports the implementation of kernel-based learning algorithms, as well as an agile definition of kernel functions over generic data representation, e.g. vectorial data or discrete structures. The framework has been designed to decouple kernel functions and learning algorithms, through the definition of specific interfaces. Once a new kernel function has been implemented, it can be automatically adopted in all the available kernel-machine algorithms. KeLP includes different Online and Batch Learning algorithms for Classification, Regression and Clustering, as well as several Kernel functions, ranging from vector-based to structural kernels. It allows to build complex kernel machine based systems, leveraging on JSON/XML interfaces to instantiate classifiers without writing a single line of code.

Changes:

Many fixes and new functionalities are included in this version. Among them, an efficient and full version of the Smoothed Partial Tree Kernel is for the first time available to the public.

Check out this new version from our repositories. Soon we will upload new versions of the documentation pages, while API Javadoc is already available.

Your suggestions will be very precious for us, so download and try KeLP 1.1.0!

New Representations: - SequenceRepresentation

New Kernels: - SubSetTreeKernel - SmoothedPartialTreeKernel - CompositionallySmoothedPartialTreeKernel - SequenceKernel

New LearningAlgorithms: - LibLinearRegression - BudgetedPassiveAggressive


Logo KeBABS 1.2.3

by UBod - May 26, 2015, 10:55:44 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4141 views, 718 downloads, 3 subscriptions

About: Kernel-Based Analysis of Biological Sequences

Changes:
  • new export kebabsCollectInfo for collection of package info
  • update of version dependency to Biostrings, XVector, S4Vector
  • correction for leading + or - in factor label
  • change of bibtex style sheet in vignette to plainnat.bst

About: Jie Gui et al., "How to estimate the regularization parameter for spectral regression discriminant analysis and its kernel version?", IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 2, pp. 211-223, 2014

Changes:

Initial Announcement on mloss.org.


About: Jie Gui, Zhenan Sun, Guangqi Hou, Tieniu Tan, "An optimal set of code words and correntropy for rotated least squares regression", International Joint Conference on Biometrics, 2014, pp. 1-6

Changes:

Initial Announcement on mloss.org.


Logo Libra 1.1.1

by lowd - May 22, 2015, 10:16:52 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 12409 views, 2704 downloads, 2 subscriptions

About: The Libra Toolkit is a collection of algorithms for learning and inference with discrete probabilistic models, including Bayesian networks, Markov networks, dependency networks, sum-product networks, arithmetic circuits, and mixtures of trees.

Changes:

Version 1.1.1 (5/21/2015):

  • Many minor fixes to documentation, scripts, and code.

Showing Items 1-10 of 584 on page 1 of 59: 1 2 3 4 5 6 Next Last