mloss | Projects that are tagged with supervised learning.

Indefinite Core Vector Machine 0.1

by fmschleif - January 5, 2018, 22:35:38 CET [ ] 8454 views, 1590 downloads, 0 subscriptions

About: Armadillo/C++ implementation of the Indefinite Core Vector Machine

Changes:

Some tiny errors in the Nystroem demo scripts - should be ok now Initial Announcement on mloss.org.

Authors: Frank Michael Schleif, Peter Tino
License: Gnu Gpl
Programming Language: C++, Armadillo

Operating System: Linux
Data Formats: Hdf, Csv
Tags: Large Scale, Supervised Learning, Non Mercer, Indefinite Kernels, Core Vector Machine

Jstacs 2.3

by keili - September 13, 2017, 14:25:38 CET [ ] 64594 views, 14228 downloads, 0 subscriptions

About: A Java framework for statistical analysis and classification of biological sequences

Changes:

New classes and packages:

Jstacs 2.3 is the first release to be accompanied by JstacsFX, a library for building JavaFX-based graphical user interfaces based on JstacsTools
new interface MultiThreadedFunction
new class LargeSequenceReader for reading large sequence files in chunks
new interface QuickScanningSequenceScore
new class RegExpValidator for checking String inputs against a regular expression
new class IUPACDNAAlphabet

New features and improvements:

Alignments may now handle different costs for insert and delete gaps
ListResults may now be constructed from Collections of ResultSets
Several minor improvements and bugfixes in many classes
Improvements of documentation of several classes

Authors: Jens Keilwagen, Jan Grau, Andre Gohr
License: Gpl Version 3 Or Later
Programming Language: Java

Operating System: Cygwin, Linux, Macosx, Windows, Unix, Agnostic, Solaris, Freebsd, Platform Independent
Data Formats: Plain Ascii, Fasta
JMLR-MLOSS Publication: JMLR Page
Tags: Bioinformatics, R, Classification, Machine Learning, Bayesian Networks, Markov Random Fields, Supervised Learning, Em, Mixture Models, Java, Learning Principles, Probabilistic Models, Motif Discovery

KeBABS 1.5.4

by UBod - July 28, 2017, 09:55:04 CET [ ] 78004 views, 15543 downloads, 0 subscriptions

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About: Kernel-Based Analysis of Biological Sequences

Changes:

importing apcluster package for avoiding method clashes
improved and completed change history in inst/NEWS and package vignette

Authors: Johannes Palme, Ulrich Bodenhofer
License: Gpl Version 2.1
Programming Language: C++, R

Operating System: Platform Independent
Data Formats: Any Format Supported By R
Tags: Bioinformatics, Support Vector Machine, Sequence Analysis, Classification, Kernels, Kernel Methods, Supervised Learning

Multi Annotator Supervised LDA for regression 1.0

by fmpr - January 16, 2017, 18:10:19 CET [ ] 12134 views, 2150 downloads, 0 subscriptions

About: MA-sLDAr is a C++ implementation of the supervised topic models with response variables provided by multiple annotators with different levels of expertise.

Changes:

Initial Announcement on mloss.org.

Authors: Filipe Rodrigues
License: Gpl V3
Programming Language: C++

Operating System: Linux, Mac
Data Formats: Various
Tags: Topic Modeling, Supervised Learning, Crowdsourcing

Multi Annotator Supervised LDA for classification 1.0

by fmpr - January 16, 2017, 18:01:36 CET [ ] 7336 views, 1487 downloads, 0 subscriptions

About: MA-sLDAc is a C++ implementation of the supervised topic models with labels provided by multiple annotators with different levels of expertise.

Changes:

Initial Announcement on mloss.org.

Authors: Filipe Rodrigues
License: Gpl V3
Programming Language: C++

Operating System: Linux, Mac
Data Formats: Various
Tags: Topic Modeling, Supervised Learning, Crowdsourcing

SALSA.jl 0.0.5

by jumutc - September 28, 2015, 17:28:56 CET [ ] 7653 views, 1928 downloads, 0 subscriptions

About: SALSA (Software lab for Advanced machine Learning with Stochastic Algorithms) is an implementation of the well-known stochastic algorithms for Machine Learning developed in the high-level technical computing language Julia. The SALSA software package is designed to address challenges in sparse linear modelling, linear and non-linear Support Vector Machines applied to large data samples with user-centric and user-friendly emphasis.

Changes:

Initial Announcement on mloss.org.

Authors: Vilen Jumutc
License: Gnu Gpl V3
Programming Language: Julia

Operating System: Agnostic
Data Formats: Ascii, Any Format Supported By Matlab, Libsvm Format, Multiple Representations Format
Tags: Classification, Clustering, Regression, Support Vector Machines, Online Learning, Stochastic Gradient Descent, Machine Learning, Optimization, Algorithms, Supervised Learning, Sparse Learning, Sparsity, Regularization, Prediction, Online Multiclass Classification, Sparse Data, Statistical Learning, Machine Learning Toolbox, Stochastic Optimization

libAGF 0.9.8

by Petey - December 6, 2014, 02:35:39 CET [ ] 42188 views, 8837 downloads, 0 subscriptions

About: C++ software for statistical classification, probability estimation and interpolation/non-linear regression using variable bandwidth kernel estimation.

Changes:

New in Version 0.9.8:

bug fixes: svm file conversion works properly and is more general
non-hierarchical multi-borders has 3 options for solving for the conditional probabilities: matrix inversion, voting, and matrix inversion over-ridden by voting, with re-normalization
multi-borders now works with external binary classifiers
random numbers resolve a tie when selecting classes based on probabilities
pair of routines, sort_discrete_vectors and search_discrete_vectors, for classification based on n-d binning (still experimental)
command options have been changed with many new additions, see QUICKSTART file or run the relevant commands for details

Authors: Peter Mills
License: Gpl
Programming Language: C++, Python, Bash

Operating System: Agnostic
Data Formats: Ascii, Binary
Tags: Clustering, Nonparametric Density Estimation, Supervised Learning, Interpolation, Inverse Methods, Kernel Estimation, Nonlinear Regression, Probability Estimation, Statistical Classification

RankSVM NC 1.0

by rflamary - July 10, 2014, 15:51:21 CET [ ] 11545 views, 2559 downloads, 0 subscriptions

About: This package is an implementation of a linear RankSVM solver with non-convex regularization.

Changes:

Initial Announcement on mloss.org.

Authors: Lea Laporte, Remi Flamary
License: Gpl
Programming Language: Matlab, Octave

Operating System: Agnostic
Data Formats: Matlab
Tags: Matlab, Mkl, Classification, Feature Selection, Linear Svm, Convex Optimization, Gradient Based Learning, Ranking, Machine Learning, Optimization, Data Mining, Supervised Learning, Lasso, Sparsity, Regularization, Algorithm, Discriminant Analysis, Linear Classifier, L1 Minimization, L1 Norm, Gradient Based Optimization, Non Convex

MyMediaLite 3.10

by zenog - October 8, 2013, 22:29:29 CET [ ] 185808 views, 36681 downloads, 0 subscriptions

About: MyMediaLite is a lightweight, multi-purpose library of recommender system algorithms.

Changes:

Mostly bug fixes.

For details see: https://github.com/zenogantner/MyMediaLite/blob/master/doc/Changes

Authors: Zeno Gantner, Steffen Rendle, Lucas Drumond, Christoph Freudenthaler
License: Gpl Version 3 Or Later
Programming Language: Python, Perl, Ruby, Csharp, Fsharp

Operating System: Linux, Windows, Solaris, Mac Os X
Data Formats: Csv, Tab Separated, Sql
Tags: Gradient Based Learning, Large Scale Learning, Algorithms, Data Mining, Evaluation, Supervised Learning, Collaborative Filtering, Matrix Factorization, Recommender Systems, Knn, Library, Dotnet, Mono

BCILAB 1.0-beta

by chkothe - January 6, 2012, 23:47:55 CET [ ] 14100 views, 2843 downloads, 0 subscriptions

About: MATLAB toolbox for advanced Brain-Computer Interface (BCI) research.

Changes:

Initial Announcement on mloss.org.

Authors: Christian Kothe
License: Gnu Gpl V2
Programming Language: Matlab, C

Operating System: Linux, Macosx, Windows
Data Formats: Biosignal Formats
Tags: Bioinformatics, Sequence Analysis, Matlab, Bci, Brain Computer Interface, Electroencephalogram, Classification, Preprocessing, Manifold Learning, Algorithms, Supervised Learning, Toolbox, Probabilistic Models, Data Streams, Feature Extraction, Performance Measures, Filtering

Kernel Machine Library 0.2

by pawelm - December 27, 2011, 17:14:01 CET [ ] 16800 views, 940 downloads, 0 subscriptions

About: The Kernel-Machine Library is a free (released under the LGPL) C++ library to promote the use of and progress of kernel machines.

Changes:

Updated mloss entry (minor fixes).

Authors: Rutger Ter Borg, Fleur Ter Borg Brinkman
License: Lgpl
Programming Language: C++

Operating System: Linux, Windows, Mac Os X
Data Formats: Ascii
Tags: Classification, Regression, Support Vector Machines, Kernel Methods, Machine Learning, Supervised Learning, Relevance Vector Machines, Adaptive Sparseness

Correlative Matrix Mapping, CMM 1.1

by emstrick - July 5, 2011, 15:15:21 CET [ ] 15423 views, 3329 downloads, 0 subscriptions

About: Correlative Matrix Mapping (CMM) provides a supervised linear data mapping into a Euclidean subspace of given dimension. Applications include denoising, visualization, label-specific data preprocessing, and assessment of data attribute pairs relevant for the supervised mapping. Solving auto-association problems yields linear multidimensional scaling, similar to PCA, but usually with more faithful low-dimensional mappings.

Changes:

Tue Jul 5 14:40:03 CEST 2011 - Bugfixes and cleanups

single precision data affected pinv(). Now fairer using double precision.
early stopping did not work properly; now fixed
Hessian update mode globally controlled via hessmode, 'lbfgs' / 'bfgs'
distmat.m corrected for rounding problems and extended to distmat(X,Y)
replaced files: corv.m + corvgrad.m -> corvg.m
removed unused files: corrmat.m, splitdata.m, traforankapply.m

Authors: Marc Strickert
License: Gpl Version 2
Programming Language: Matlab, Octave

Operating System: Platform Independent
Data Formats: Matlab
Tags: Lda, Dimensionality Reduction, Supervised Learning, Linear Discriminant Analysis, Association Mapping, Canonical Correlation Analysis, Cca, Linear Model

pHMM4weka 1.0

by smm52 - October 22, 2010, 03:48:07 CET [ ] 9810 views, 2872 downloads, 0 subscriptions

About: This Java software implements Profile Hidden Markov Models (PHMMs) for protein classification for the WEKA workbench. Standard PHMMs and newly introduced binary PHMMs are used. In addition the software allows propositionalisation of PHMMs.

Changes:

description changed

Authors: Stefan Mutter
License: Gpl Version 3 Or Later
Programming Language: Java

Operating System: Platform Independent
Data Formats: Arff
Tags: Sequence Analysis, Hmm, Support Vector, Resampling, Structured Data, Supervised Learning, Weka, Statistics, Hidden Markov Model, Statistical Classification, Remote Homology Detection, Probabilistic Mo

ELF Ensemble Learning Framework 0.1

by mjahrer - May 10, 2010, 23:54:53 CET [ ] 12766 views, 2491 downloads, 0 subscriptions

About: ELF provides many well implemented supervised learners for classification and regression tasks with an opportunity of ensemble learning.

Changes:

Initial Announcement on mloss.org.

Authors: Michael Jahrer
License: Gpl Version 3 Or Later
Programming Language: C++

Operating System: Linux, Other
Data Formats: Arff, Bin, Csv
Tags: Supervised Learning

rdetools 0.1

by mikio - December 4, 2008, 22:56:37 CET [ ] 11100 views, 2621 downloads, 0 subscriptions

About: This software contains several matlab scripts for computing the RDE (relevant dimensionality estimate). The RDE measures the number of leading PCA components in feature space which contain the [...]

Changes:

Initial Announcement on mloss.org.

Authors: Mikio Braun
License: Gpl 3
Programming Language: Matlab

Operating System: Agnostic
Data Formats: None
Tags: Kernel Methods, Supervised Learning

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