20 projects found that use java as the programming language.
Showing Items 1-20 of 59 on page 1 of 3: 1 2 3 Next

About: Robust learning of Bayesian Networks

Changes:

Initial Announcement on mloss.org.


Logo Intelligent Parameter Utilization Tool 0.4

by feldob - April 28, 2013, 18:05:45 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 286 views, 53 downloads, 1 subscription

About: A descriptive and programming language independent format and API for the simplified configuration, documentation, and design of computer experiments.

Changes:

Initial Announcement on mloss.org.


Logo CAM Java 2.0

by wangny - April 11, 2013, 18:21:12 CET [ BibTeX Download ] 1347 views, 549 downloads, 1 subscription

About: The CAM R-Java software provides a noval way to solve blind source separation problem.

Changes:
  1. Three classic BSS algorithms - NMF, fastICA and Factor Analysis - are combined into the software. Users can readily call the three functions from Java GUI
  2. A simple plug-in mechanism is added. Users can add their own BSS algorithm into the software by following the Software Plugin Adding Guide and User Manual

Logo PredictionIO 0.3

by simonc - April 9, 2013, 03:31:15 CET [ Project Homepage BibTeX Download ] 464 views, 80 downloads, 1 subscription

About: Open Source Machine Learning Server

Changes:

Initial Announcement on mloss.org.


Logo JKernelMachines 2.0

by dpicard - February 28, 2013, 21:09:31 CET [ Project Homepage BibTeX Download ] 3643 views, 839 downloads, 1 subscription

About: machine learning library in java for easy development of new kernels

Changes:

Version 2.0.

  • Separation of the core library and unit testing
  • Junit testing added
  • Lots of bug fixes
  • Better examples, and many useless test classes removed
  • A small demo script to benchmark the library was added

Warning: all classes have migrated under the fr.lip6.jkernelmachines package, which breaks backward compatibility, but was necessary to keep the project going on sanely.


Logo ADAMS 0.4.2

by fracpete - February 26, 2013, 03:26:25 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1758 views, 312 downloads, 1 subscription

About: The Advanced Data mining And Machine learning System (ADAMS) is a novel, flexible workflow engine aimed at quickly building and maintaining real-world, complex knowledge workflows.

Changes:
  • Added almost 20 more conversions and 20 new actors
  • R-Project integration using Rserve
  • WEKA webservice allows for programming language agnostic training, evaluation and use of WEKA models (classifiers, clusterers) and data processing using filters
  • Spreadsheets now come with basic formula support
  • Spreadsheets can be used for lookup tables in the flow
  • Support for "chunked" reading/writing of spreadsheets to process millions of rows

Logo WEKA 3.7.9

by mhall - February 24, 2013, 09:13:22 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 29393 views, 4103 downloads, 2 subscriptions

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About: The Weka workbench contains a collection of visualization tools and algorithms for data analysis and predictive modelling, together with graphical user interfaces for easy access to this [...]

Changes:

http://sourceforge.net/projects/weka/files/weka-3-7/3.7.9/README-3-7-9.txt/view


Logo JProGraM 13.2

by ninofreno - February 13, 2013, 20:29:38 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8349 views, 1744 downloads, 1 subscription

About: JProGraM (PRObabilistic GRAphical Models in Java) is a statistical machine learning library. It supports statistical modeling and data analysis along three main directions: (1) probabilistic graphical models (Bayesian networks, Markov random fields, dependency networks, hybrid random fields); (2) parametric, semiparametric, and nonparametric density estimation (Gaussian models, nonparanormal estimators, Parzen windows, Nadaraya-Watson estimator); (3) generative models for random networks (small-world, scale-free, exponential random graphs, Fiedler random graphs/fields), subgraph sampling algorithms (random walk, snowball, etc.), and spectral decomposition.

Changes:

JProGraM 13.2 -- CHANGE LOG

Release date: February 13, 2012

New features: -- Support for Fiedler random graphs/random field models for large-scale networks (ninofreno.graph.fiedler package); -- Various bugfixes and enhancements (especially in the ninofreno.graph and ninofreno.math package).


Logo Encog Machine Learning Framework 3.1

by jeffheaton - January 1, 2013, 00:05:08 CET [ Project Homepage BibTeX Download ] 1035 views, 199 downloads, 1 subscription

About: Encog is a Machine Learning framework for Java, C#, Javascript and C/C++ that supports SVM's, Genetic Programming, Bayesian Networks, Hidden Markov Models and other algorithms.

Changes:

Initial Announcement on mloss.org.


Logo ELKI 0.5.5

by erich - December 14, 2012, 18:49:58 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 4190 views, 748 downloads, 2 subscriptions

About: ELKI is a framework for implementing data-mining algorithms with support for index structures, that includes a wide variety of clustering and outlier detection methods.

Changes:

This is mostly a bug fix release. A lot of small issues have been fixed that improve performance, make error reporting a lot better, ease the use of sparse vectors and external precomputed distances, for example.

This will be the last ELKI release to support Java 6. The next ELKI release will require Java 7.

Algorithms

  • Some new LOF variants (LDF, SimpleLOF, SimpleKernelDensityLOF)
  • Correlation Outlier Probabilities (ICDM 2012)
  • A naive mean-shift clustering
  • Single-link clustering (SLINK algorithm) should be significantly faster due to optimized data structures
  • "Benchmarking" algorithms for measuring the performance of index structures

Index layer

  • Bulk loading R-Trees should be faster - in particular Sort Tile Recursive can work very well.
  • M-Trees have been refactored and optimized for double distances

Database layer

  • Bundle format (work in progress): low-level binary format for fast data exchange
  • DBID and DataStore layer received some additional classes for further performance improvements
  • KNN heap structures were revisited. The code is less clean now, but performs better in benchmarks.

Visualizations

  • General clean up and API simplifications
  • Some additional modules and improvements

Various

  • There is a new parameter class, RandomParameter
  • Some new distributions were added, also to the data set generator.

Tutorials

  • The website has new tutorials, including one on a k-means variation that produces equal sized clusters.

Logo PREA Personalized Recommendation Algorithms Toolkit 1.1

by srcw - September 1, 2012, 22:53:37 CET [ Project Homepage BibTeX Download ] 1896 views, 616 downloads, 2 subscriptions

About: An open source Java software providing collaborative filtering algorithms.

Changes:

Initial Announcement on mloss.org.


Logo JMLR Mulan 1.4.0

by lefman - August 1, 2012, 09:49:21 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 9662 views, 4626 downloads, 1 subscription

About: Mulan is an open-source Java library for learning from multi-label datasets. Multi-label datasets consist of training examples of a target function that has multiple binary target variables. This means that each item of a multi-label dataset can be a member of multiple categories or annotated by many labels (classes). This is actually the nature of many real world problems such as semantic annotation of images and video, web page categorization, direct marketing, functional genomics and music categorization into genres and emotions.

Changes:

Learners

  • BinaryRelevance.java: improved data handling that avoids copying the entire input space, leading to important speedups in case of large datasets and very large number of labels.
  • RAkEL.java: updated technical information, added a check for the case where the number of labels is less or equal than the size of the subset.
  • MultiLabelKNN.java: now checks whether the number of instances is less than the number of requested nearest neighbors.
  • Addition of AdaBoostMH.java, an explicit implementation of AdaBoost.MH as combination of AdaBoostM1 and IncludeLabelsClassifier.
  • Addition of MLPTO.java, the Multi Label Probabilistic Threshold Optimizer (MLTPTO) thresholding technique.
  • Addition of ApproximateExampleBasedFMeasureOptimizer.java, an approximate method for the maximization of example-based F-measure.

Measures/Evaluation

  • Addition of Specificity measure (example-based, micro/macro label-based)
  • Addition of Mean Average Interpolated Precision (MAiP), Geometric Mean Average Precision (GMAP), Geometric Mean Average Interpolated Precision (GMAiP).
  • New methods for stratified multi-label evaluation.
  • Added support for outputting per label results for all measures that implement the MacroAverageMeasure interface.
  • Simplifying the "strictness" issue of information retrieval measures, by adopting specific assumptions (outlined in the new class InformationRetrievalMeasures.java) to handle special cases, instead of the less clear and useful solution of outputting NaN and the less realistic solution or ignoring special cases.

Bug fixes

  • Bug fix in LabelsBuilder.java.
  • Bug fix in Ranker.java.
  • Bug-fix in ThresholdPrediction.java.
  • Fix for bug occurring when loading the XSD for mulan data outside the command-line environment (e.g. web applications).
  • Javadoc comment updates.

API changes

  • Upgrade to Java 1.6
  • Upgrade to JUnit 4.10
  • Upgrade to Weka 3.7.6.

Miscellaneous

  • Meaningful messages are now shown when a DataLoadException is thrown.
  • PT6(PT6Transformation.java): renamed to IncludeLabelsTransformation.java.
  • MultiLabelInstances now support serialization, as needed by the improved binary relevance transformation.
  • BinaryRelevanceAttributeEvaluator.java: updated according to latest BR improvements.

Logo JMLR Jstacs 2.0

by keili - July 30, 2012, 13:31:02 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 9520 views, 2094 downloads, 2 subscriptions

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

Changes:

February 2, 2012: Jstacs 2.0 released

Jstacs 2.0 changes many names and the structure of several packages. It is not code-compatible with Jstacs 1.5 and earlier

RESTRUCTURING and RENAMING:

former ScoringFunction, NormalizableScoringFunction, Model

  • new base-interface SequenceScore
  • new sub-interface StatisticalModel of SequenceScore for all statistical models with sub-iterfaces DifferentiableStatisticalModel and TrainableStatisticalModel
  • new interface DifferentiableSequenceScore replaces ScoringFunction
  • new interface DifferentiableStatisticalModel replaces NormalizableScoringFunction
  • new interface TrainableStatisticalModel replaces Model
  • new abstract class AbstractDifferentiableSequenceScore
  • new abstract class AbstractDifferentiableStatisticalModel replaces AbstractNormalizableScoringFunction
  • new abstract class AbstractTrainableStatisticalModel replaces AbstractModel
  • former Models renamed to TrainSM
  • former ScoringFunction renamed to DiffSS or DiffSM
  • getProbFor removed from TrainableStatisticalModel (former Model) and conceptually replaced by getLogProbFor
  • getLogScore(Sequence,int,int) with changed meaning of arguments: getLogScore(Sequence,start,end) instead of getLogScore(Sequence,start,length)
  • isTrained() replaced by common method isInitialized()

Parameters and Results

  • new super-class of Parameters and Results: AnnotatedEntity
  • common list-type for Parameters and Results: AnnotatedEntityList
  • Renaming: CollectionParameter -> SelectionParameter, MultiSelectionCollectionParameter -> MultiSelectionParameter, new super-class AbstractSelectionParameter
  • major refactoring due to common hierarchy and code-cleanup
  • lazy evaluation of Parameter/ParameterSet hierarchies moved from ParameterSet (loadParameters()) to ParameterSetContainer (constructor on class)
  • SubclassFinder adapted to lazy evaluation

performance measures

  • new abstract super-class AbstractPerformanceMeasure of all performance measures
  • new interface NumericalPerformanceMeasure for all performance measures that return a single number (as opposed, e.g., to curves)
  • new class PerformanceMeasureParameterSet for a collection of general performance measures
  • new class NumericalPerformanceMeasureParameterSet for a collection of NumericalPerformanceMeasures
  • used in evaluate-method of AbstractClassifier and in ClassifierAssessments

further changes

  • Sample renamed to DataSet
  • evaluate and evaluateAll in AbstractClassifier joined
  • new class IndependentProductDiffSS as super-class of IndepedentProductDiffSM (former IndependentProductScoringFunction)
  • new class UniformDiffSS as super-class of UniformDiffSM (former UniformScoringFunction)

NEW FUNCTIONALITY:

  • multi-threaded implementation of Baum-Welch and Viterbi training of hidden Markov models
  • new Interface Singleton that can be used for singleton instances to save memory, current examples: DNAAlphabet, DNAAlphabetContainer, ProteinAlphabet
  • added ProteinAlphabet
  • added possibility to use NaN-values with ContinuousAlphabets
  • added ArbitraryFloatSequence including static methods for DataSet creation for cases where double-precision is not needed
  • new performance measure MaximumFMeasure
  • access to Parameters in ParameterSets and Results in ResultSets by name
  • emitDataSet in BayesianNetworkDiffSM
  • new static method Time.getTimeInstance that returns UserTime or RealTime depending on availability of shared lib
  • SubclassFinder allows for adding own base packages
  • new method overlaps() in LocatedSequenceAnnotationWithLength
  • AbstractTerminationCondition used in ScoreClassifier and sub-classes
  • public method propagateESS in HMMFactory
  • new method generateLog in DirichletMRG for drawing log-values
  • added DifferentiableStatisticalModelFactory

BUGFIXES/IMPROVEMENTS:

  • bugfix in propagation of equivalent sample size in HMMFactory
  • bugfix in random initialization of BasicHigherOrderTransition
  • improved Alignment implementation
  • SafeOutputStream with new static factory method getSafeOutputStream, write methods now work on Objects

DOCUMENTATION:

  • improved Javadocs in many classes and packages
  • new Cookbook with extensive documentation and explanation

MISC:

  • output of NonParsableException more verbose
  • Exceptions in multi-threaded code now lead to exit of program instead of only stopping the thread
  • update of RServe/RClient

Logo MLWizard 5.2

by remat - July 26, 2012, 15:04:14 CET [ Project Homepage BibTeX Download ] 1618 views, 350 downloads, 1 subscription

About: MLwizard recommends and optimizes classification algorithms based on meta-learning and is a software wizard fully integrated into RapidMiner but can be used as library as well.

Changes:

Faster parameter optimization using genetic algorithm with predefined start population.


Logo WebEnsemble 1.0

by jungc005 - May 8, 2012, 22:24:44 CET [ BibTeX Download ] 868 views, 218 downloads, 1 subscription

About: Use the power of crowdsourcing to create ensembles.

Changes:

Initial Announcement on mloss.org.


Logo Oboe A Chinese Syntactic Parser 1.0

by openpr_nlpr - April 9, 2012, 09:08:35 CET [ Project Homepage BibTeX Download ] 1013 views, 205 downloads, 1 subscription

About: Oboe is a software for Chinese syntactic parsing, and it can display syntactic trees in a graphical view with two kinds of representation: phrase tree and dependency tree. So it is very helpful for NLP researchers, especially for researchers focusing on syntax-based methods.

Changes:

Initial Announcement on mloss.org.


Logo MLFlex 02-21-2012-00-12

by srp33 - April 3, 2012, 16:44:43 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 1050 views, 178 downloads, 1 subscription

About: Motivated by a need to classify high-dimensional, heterogeneous data from the bioinformatics domain, we developed ML-Flex, a machine-learning toolbox that enables users to perform two-class and multi-class classification analyses in a systematic yet flexible manner. ML-Flex was written in Java but is capable of interfacing with third-party packages written in other programming languages. It can handle multiple input-data formats and supports a variety of customizations. MLFlex provides implementations of various validation strategies, which can be executed in parallel across multiple computing cores, processors, and nodes. Additionally, ML-Flex supports aggregating evidence across multiple algorithms and data sets via ensemble learning. (See http://jmlr.csail.mit.edu/papers/volume13/piccolo12a/piccolo12a.pdf.)

Changes:

Initial Announcement on mloss.org.


Logo Nen Beta

by pascal - February 19, 2012, 00:31:34 CET [ Project Homepage BibTeX Download ] 1636 views, 518 downloads, 1 subscription

About: 3-layer neural network for regression with sigmoid activation function and command line interface similar to LibSVM.

Changes:

Initial Announcement on mloss.org.


Logo JMLR SSA Toolbox 1.3

by paulbuenau - January 24, 2012, 15:51:02 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ] 8090 views, 2314 downloads, 1 subscription

About: The SSA Toolbox is an efficient, platform-independent, standalone implementation of the Stationary Subspace Analysis algorithm with a friendly graphical user interface and a bridge to Matlab. Stationary Subspace Analysis (SSA) is a general purpose algorithm for the explorative analysis of non-stationary data, i.e. data whose statistical properties change over time. SSA helps to detect, investigate and visualize temporal changes in complex high-dimensional data sets.

Changes:
  • Various bugfixes.

Logo Rudder 0.1

by dmcnelis - December 16, 2011, 22:00:45 CET [ Project Homepage BibTeX Download ] 2511 views, 800 downloads, 1 subscription

About: An annotated java framework for machine learning, aimed at making it really easy to access analytically functions.

Changes:

Now supports OLS and GLS regression and NaiveBayes classification


Showing Items 1-20 of 59 on page 1 of 3: 1 2 3 Next