richard-moulton Goto Github PK
Name: Richard Moulton
Type: User
Company: Queen's University
Bio: Intelligent systems researcher.
Location: Kingston, Canada
Richard Moulton's Projects
clusteringinthepresenceofconceptdrift
Additional materials for the paper "Clustering in the Presence of Concept Drift"
clustree
Modifications to the ClusTree clustering algorithm implemented in MOA.
conceptdriftgenerator
Generator for classification with concept drift. Extension of work done in Webb et al. 2016 and posted to GitHub by Dr. François Petitjean.
cribbage
Code base for Cribbage as a reinforcement learning problem. Includes environment, agents and training scripts.
csvcombiner
A utility for combining data across multiple CSVs using the same ID scheme.
d-stream
Implementation of the D-Stream clustering algorithm for use in MOA. An earlier version is included as part of the MOA 17.06 release.
dessimulation
A framework that allows MATLAB code to integrate with IDES and run DES simulations
hello-world
A time-honored tradition in computer programming.
information-bottlenecks-in-rapid-motor-behaviour
Analysis and figure generation code for the paper "Capacity Limits Lead to Information Bottlenecks for Ongoing Rapid Motor Behaviour"
mixturemodelgenerator
Data stream generators (with and without concept drift) compatible with MOA 17.06.
moa
MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
oneclassclassifiers
Implementations of one-class classifiers. Included as part of the MOA 19.04.0 release.
oneclassframeworks
Three frameworks developed as part of my Master's thesis.
quantitatively-assessing-aging-effects-in-rapid-motor-behaviours
Analysis and figure generation code for the paper "Quantitatively assessing aging effects in rapid motor behaviours: a cross-sectional study."
streamkm
Modifications to the StreamKM algorithm implemented in MOA. Now included as part of the MOA 17.06 release.
swons
This repository contains code for the project "Synchronizing to Decide in Small-World Networks" from the 2018 Summer School in Computational Sensory-Motor Neuroscience (CoSMo 2018).
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