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Name: Douglas Monteiro
Type: User
Name: Douglas Monteiro
Type: User
This program can be used to plot the structure of a protein in the 2D HP model.
Programa para plotagem de modelos 3D
Implementation of the Ant Colony Optimization meta-heuristic for the Protein Structure Prediction problem using 2D HP model. This approach includes the pull move heuristic for local search.
Implementação do algoritmo ACO aplicado ao TSP
Binding ng-model inside ng-repeat loop in AngularJS
This is an implementation of AnyNovel Algorithm for detetcing novel concepts in evloving data streams. Paper can be found here https://link.springer.com/article/10.1007/s12530-016-9147-7
ARM-Stream: Active Recovery of Miscategorizations in Clustering-Based Data Stream Classifiers
CVS repository from https://sourceforge.net/p/asterisk-jtapi/code/
C implementation of the BIRCH algorithm, an unsupervised data mining algorithm which is used to perform hierarchical clustering over particularly large data-sets.
A Clustering-based Data Stream Classification framework using Active Learning
implement of ICDE 2019 paper: Robust High Dimensional Stream Classification with Novel Class Detection
Strategies based on active learning and semi supervised learning for classification, novelty detection and concept drift detection over data streams.
An example for streaming large files in chunks using StreamingResponseBody in Spring MVC
Framework for data stream classifier algorithms
Semi-supervised framework for classifying evolving data streams
ECHO is a semi-supervised framework for classifying evolving data streams based on our previous approach SAND. The most expensive module of SAND is the change detection module, which has cubic time complexity. ECHO uses dynamic programming to reduce the time complexity. Moreover, ECHO has a maximum allowable sliding window size. If there is no concept drift detected within this limit, ECHO updates the classifiers and resets the sliding window. Experiment results show that ECHO achieves significant speed up over SAND while maintaining similar accuracy. Please refer to the paper (mentioned in the reference section) for further details.
data streams, incremental clustering, novelty detection, concept drift
Automatically exported from code.google.com/p/jbirch
data mining discipline project
Matrix with polynomial initialization
Repositórios da Disciplina GBC212 - Mineração de Dados
PCF compatible MINAS (MultI-class learNing Algorithm for data Streams). An algorithm to address novelty detection in data streams multi-class problems.
Reference implementation for MINAS (MultI-class learNing Algorithm for data Streams), an algorithm to address novelty detection in data streams multi-class problems.
Machine learning toolkit
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.
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A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.