Search Results for "voting"

Uses the USGS Watershed Boundary Dataset and the 2010 US Census data to create representational voting districts with equivalent population.

Accompanying software for the paper "Optimal Decision Rules for the Discursive Dilemma", by A. Alabert, M. Farré and R. Montes (https://arxiv.org/abs/2210.13100). Computes a ranking of the best decision rules according to a quantitative criterion based on the minimisation of the combined probabilities of false positives and false negatives

We compared the performance of four publicly available in silico fragmentation tools that help in structure elucidation of metabolites (MetFrag, CFM-ID, MAGMa+ and MS-FINDER). Using the output of these tools we developed a voting/consensus model which is combining, re-ordering and re-ranking the candidates file and increases the correct hit percentage. We used 520 compounds from the 2016 CASMI challenge with 312 compounds for training and 208 compounds for validation purposes.

Belief revision is a central topic in knowledge representation and reasoning. It consists in incorporating a new belief, changing as few as possible of the original beliefs while preserving consistency. Revision always considers new evidence as a better belief. Such new evidence is usually represented in the form of a propositional formula which must be preserved after the revision. Here, the Δps (PS-Merge) belief merging operator is extended in order to consider constraints, and ...

Belief merging aims at combining several pieces of (possibly inconsistent) information coming from different sources. The goal is to produce a single consistent set of information, trying to keep the most of the information of the sources. A belief merging operator is the responsible for making the belief merging. With this tool you can compare the ΔΣ, ΔGMax and the Δps (PS-Merge) operators.

Java Machine Learning Library is a library of machine learning algorithms and related datasets. Machine learning techniques include: clustering, classification, feature selection, regression, data pre-processing, ensemble learning, voting, ...

Adaboost extensions for cost-sentive classification CSExtension 1 CSExtension 2 CSExtension 3 CSExtension 4 CSExtension 5 AdaCost Boost CostBoost Uboost CostUBoost AdaBoostM1 Implementation of all the listed algorithms of the cluster "cost-sensitive classification". They are the meta algorithms which requires base algorithms e.g. Decision Tree Moreover, Voting criteria is also required e.g. Minimum expected cost criteria Input also requires to load an arff file and a cost matrix (sample arff and cost files are uploaded for users' reference) This extension uses weka for classification and generates the classification model along with confusion matrix. For given dataset and cost matrix

A rich client to analyse data from a liquid-feedback (http://liquidfeedback.org/) instance, for now it's a 3d graph explorer to inspect the delegations. It's an application based on the eclipse platform (indigo). To be precise its a directed weighted multi graph browser in 3d. Find out more in the wiki https://sourceforge.net/p/lqfbanalyser/wiki/Home/ . Generated reports https://sourceforge.net/p/lqfbanalyser/wiki/generated%20lqfb%20reports/ .

Application to use MRI brain atlases composed of template images and label images pairs. This application will segment MRI images using labels provided by the atlas. The labels are combined using the voting fusion technique. Please visit our page at http://www.brain-development.org.

A tool that determines the winner of a vote through many different systems. Amongth the supported systems are: Borda count, Instant-runoff voting, Condorcet method, Ranked pairs, Cloneproof schwartz sequential droping / beatpath winner.

The Tensor Voting Framework is a powerful technique for perceptual grouping, manifold learning, etc. It has proved to be a useful tool in the Computer Vision community. OpenTVF is an open source implementation of TVF.

Data mines the voting record and other actions of Members of the UK Parliament. Extracts information from the parliament website and stores it in a database. Provides tools to analyse the information, producing statistics and tables about the MPs.

CollOPort provides a web-based portal for a group of researchers to use to collaboratively manage an observatory or experiment. It consists of several components, including topic-based collaborative content, discussions, proposals, and voting.

LightCrypto is C cryptography library. It contains Big Number Library, basic crypto algorithms (3DES, DSA, RSA, ECDSA, etc), Internet Voting Scheme, and many more. Current librarie's binary is less than 1MB and it can even be smaller by user config.

A package for preference handling and aggregation rules. A number of voting rules discussed in social choice literature have been implemented in order to study various properties of these rules in simulations with randomly generated preferences.

ballotbox is a java library consist of 36 algorithms derived from 23 Social Choice Rules (Voting Methods). Uses jgrapht graph theory project and it is own Preference class to represent preferences. Includes preference similarity algorithms.

Develop PC based voting machine software for demonstration. Production quality software development project to follow successful demo.