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A data dependent dissimilarity measure based on mass estimation.
This software calculates the mass-based dissimilarity matrix for data mining algorithms relying on a distance measure.
References:
Overcoming Key Weaknesses of Distance-based Neighbourhood Methods using a Data Dependent Dissimilarity Measure. KDD 2016 http://dx.doi.org/10.1145/2939672.2939779
The source code, presentation slide and poster are attached under "Files". The presentation video in KDD 2016 is published on https://youtu.be/eotD_-SuEoo .
Since this software is licensed...
A small command line tool to process streams of numbers and spit out the running total, bin the results or merge duplicates. Supports arbitrary precision numbers. ocdf is named for the cumulative distribution function in probability.
A C++ library for machine learning within dynamic systems. It provides methods such as the Kalman, unscented Kalman, and particle filters and smoothers, as well as useful classes such as common probability distributions and stochastic processes.
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STRStat is a statistical package to calculate various parameters used in forensic science. It is also able to graphically display the distribution of the population and calculate the probability of appearance for a specific phenotype.
A web-based prediction market (Idea Futures) system. In prediction markets, the commodities traded are claims about future events; the market price gives a consensus probability about the event's likelihood of coming true.
pystats is a comprehensive Python module implementing algorithms for statistics and information theory, including probability distributions, descriptive statistics, analysis of variance, regression, and inference.
RISO: distributed, heterogeneous Bayesian belief networks. Belief network: a probability model defined on an acyclic directed graph; distributed: nodes can be on different hosts; and heterogeneous: allowing different types of conditional distributions.