Updating PDFs of demos and paper, release notes and release numbering ready for v1.1 release.

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joseph.lizier 2014-11-13 23:35:47 +00:00
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</description>
<!-- set global properties for this build -->
<property name="version" value="1.0"/>
<property name="version" value="1.1"/>
<property name="mainfilename" value="infodynamics"/>
<property name="jarplainname" value="${mainfilename}.jar" />
<property name="jarversiondistnamezip" value="${mainfilename}-jar-${version}.zip" />

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demos/r/README-R_Demos.pdf Executable file

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Java Information Dynamics Toolkit (JIDT)
Copyright (C) 2012 Joseph T. Lizier
Copyright (C) 2012-2014 Joseph T. Lizier
Copyright (C) 2014 Joseph T. Lizier and Ipek Özdemir
Version @VERSION@ (see release notes below)
@ -83,6 +84,10 @@ Several sets of demonstration code are distributed with the toolkit:
iii. demos/r -- basic examples on easily using the Java toolkit from R -- see description at http://code.google.com/p/information-dynamics-toolkit/wiki/R_Examples
iv. demos/julia -- basic examples on easily using the Java toolkit from Julia -- see description at http://code.google.com/p/information-dynamics-toolkit/wiki/JuliaExamples
v. demos/clojure -- basic examples on easily using the Java toolkit from Clojure -- see description at http://code.google.com/p/information-dynamics-toolkit/wiki/Clojure_Examples
c. demos/octave/CellularAutomata -- using the Java toolkit to plot local information dynamics profiles in cellular automata; the toolkit is run under Octave or Matlab -- see description at http://code.google.com/p/information-dynamics-toolkit/wiki/CellularAutomataDemos
d. demos/octave/SchreiberTransferEntropyExamples -- recreates the transfer entropy examples in Schreiber's original paper presenting this measure; shows the correct parameter settings to reproduce these results -- see description at http://code.google.com/p/information-dynamics-toolkit/wiki/SchreiberTeDemos
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Please cite your use of this toolkit as:
Joseph T. Lizier, "JIDT: An information-theoretic toolkit for studying the dynamics of complex systems", 2014, arXiv:1408.3270
Joseph T. Lizier, "JIDT: An information-theoretic toolkit for studying the dynamics of complex systems", Frontiers in Robotics and AI 1:11, 2014; doi:10.3389/frobt.2014.00011
A pre-print of this paper is distributed with this toolkit (InfoDynamicsToolkit.pdf) and is available at arXiv:1408.3270
=============
Notices
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Release notes
===============
v1.1 14/11/2014 at r566
-----------------------
Implemented Fast Nearest Neighbour Search for Kraskov-Stögbauer-Grassberger (KSG) estimators for MI, conditional MI, TE, conditional TE, AIS, Predictive info, and multi-information. This includes a general (multivariate) k-d tree implementation;
Added multi-threading (using all available processors by default) for the KSG estimators -- code contributed by Ipek Özdemir;
Added Predictive information / Excess entropy implementations for KSG, kernel and Gaussian estimators;
Added R, Julia, and Clojure demos;
Added Windows batch files for the Simple Java Demos;
Added property for adding a small amount of noise to data in all KSG estimators;
v1.0 14/8/2014 at r434
----------------------
Added the draft of the paper on the toolkit to the release;