AMIDST Toolbox

AMIDST is an open source toolbox coded in Java for probabilistic machine learning. It can handle batch and streaming data.

[AMIDST Toolbox @AmidstToolbox]

New AMIDST 0.7.1 released
https://t.co/VYttREmIop

[AMIDST Toolbox @AmidstToolbox]

Talk about subconcept drift detection with the AMIDST Toolbox at #ipmu2018 in Cádiz.

https://t.co/ecx8p1CqVf

[Rafa Cabañas @RafaCabanas]

Check out this Meetup: II DataBeers Almería https://t.co/0DD7MphDzU #Meetup #Almería vía @Meetup

[AMIDST Toolbox @AmidstToolbox]

AMIDST 0.7.0 released
https://t.co/69wcP7ljO2

[AMIDST Toolbox @AmidstToolbox]

AMIDST 0.7.0 released
https://t.co/69wcP7ljO2

[AMIDST Toolbox @AmidstToolbox]

AMIDST demo at @icdm2016 by @RafaCabanas

[WTC Barcelona @WTCBarcelona]

Welcome to World Trade Center Barcelona "International Conference on Data Mining" @icdm2016 https://t.co/ME9CAtKPjY #icdm2016 #DAPS2016

[AMIDST Toolbox @AmidstToolbox]

@icdm2016

[AMIDST Toolbox @AmidstToolbox]

Try AMIDST online: example of learning a predefined model with latent variables. https://t.co/TiSw0KYZkF

[AMIDST Toolbox @AmidstToolbox]

Download the R package ramidst: An Interface to the AMIDST Toolbox for Data Stream Processing
https://t.co/w0wLEARyzH

[ICDM 2016 @icdm2016]

List of PhD Forum papers is now online! https://t.co/jRcqh0IXOU #icdm2016 #phdforum #datamining

[AMIDST Toolbox @AmidstToolbox]

AMIDST 0.6.0 released including Spark integration.
https://t.co/FOkDYhwDe4

[AMIDST Toolbox @AmidstToolbox]

AMIDST 0.6.0 released including Spark integration.
https://t.co/FOkDYhwDe4

[AMIDST Toolbox @AmidstToolbox]

Use Java 8 new functionalities for efficient multicore learning of Bayesian networks
https://t.co/NPCLHhiDeo

[AMIDST Toolbox @AmidstToolbox]

The AMIDST Toolbox has been used in many scientific articles
https://t.co/RYzw3sEF0T

[AMIDST Toolbox @AmidstToolbox]

Dynamic Bayesian modeling for risk prediction in credit operations (SCAI2015) #creditoperations https://t.co/HemslG46Yl via @SlideShare

[AMIDST Toolbox @AmidstToolbox]

A Java Toolbox for Analysis of MassIve Data STreams using Probabilistic Graph... #datastreams #edf2016 https://t.co/uX9bRDtlrc @SlideShare

[AMIDST Toolbox @AmidstToolbox]

Parallel Filter-Based Feature Selection Based on Balanced Incomplete Block De... #bayesiannetworks https://t.co/yYBWYpOQlE via @SlideShare

[AMIDST Toolbox @AmidstToolbox]

Parallelisation of the PC Algorithm (CAEPIA2015) #bayesiannetwork #caepia2015 https://t.co/JOOa0oNzn2 via @SlideShare

[AMIDST Toolbox @AmidstToolbox]

Flink Forward 2016: Ana M. Martinez - AMIDST Toolbox: Scalable probabil.... https://t.co/pWxvpRAkjz via @YouTube