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UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports BN, ID, MSBN, OOBN, HBN, MEBN/PR-OWL, structure, parameter and incremental learning.
UncertWeb is an EC funded research project running from Feb 2010 – Jan 2013 developing the uncertainty enabled model web. The model Web concept, formulated within the Global Earth Observation System of Systems activity envisages the integration of complex resources, such as data and models, to ... [More]
GeoAR is an (augmented reality) browser for geospatial data for the Android operating system. Its first version is based on a thesis in the context of OpenNoiseMap, which implemented clustering and visualisation of in-situ noise measurements using OpenGL ES, but that was extensively re-implemeneted and a lot more functionality added.
Greenland is a client-side tool to render quality-aware geospatial data, implemented as OpenLayers-based webpage. Check out the latest version at geoviqua.dev.52north.org/greenland/
1) Summarise current cod reference points e.g. use and basis of their derivation 2) Identify inconsistencies, e.g. between i. biomass and fishing mortality limits and targets, ii. precautionary and limits reference points 3) Note lack of targets and suggest appropriate reference points 4) ... [More]
A set of code accompanying WRR paper (Cardiff and Kitanidis 2009-in review) for estimation of parameter fields using a level-set framework. The code is in a working development state and has been tested on a few example problems prior to publication in WRR. We are always looking for people to ... [More]
Il progetto fornisce una funzione di MATLAB di facile utilizzo per risolvere problemi di ottimizzazione con le funzioni quadratiche omogenee di Lyapunov. Queste sono usate per lo studio della stabilità robusta per sistemi con struttura incerta. Per fare ciò, la funzione che abbiamo sviluppato usa: ... [More]
Scala Implementation of Bayesian Neworks (WorkInProgress) Implemented so far : - d-separation algorithm (with test cases) - Inference Algo - Pearl's Message passing algorithm for a Bayesian Network whose DAG is a tree.(with test cases) - Inference Algo - Pearl's Message passing ... [More]
LibPGThe PG library was intended to be a high-performance policy-gradient reinforcement learning library. Since the first version it has been extended to a number of value based RL algorithms, so the name is only historical. It is now a general RL library which implements, for example, natural actor ... [More]