Topic: uncertainty-sampling Goto Github
Some thing interesting about uncertainty-sampling
Some thing interesting about uncertainty-sampling
uncertainty-sampling,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.
User: ahhaque
uncertainty-sampling,SAND: Semi-Supervised Adaptive Novel Class Detection and Classification over Data Stream
User: ahhaque
uncertainty-sampling,Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.
User: baggepinnen
Home Page: https://baggepinnen.github.io/MonteCarloMeasurements.jl/stable/
uncertainty-sampling,Code and website for DAL (Discriminative Active Learning) - a new active learning algorithm for neural networks in the batch setting. For the blog:
User: dsgissin
Home Page: https://dsgissin.github.io/DiscriminativeActiveLearning/
uncertainty-sampling,Pool-based active learning in Python
Organization: ntucllab
Home Page: http://libact.readthedocs.org/
uncertainty-sampling,Spring 2021 - Automation of Scientific Research - course project
User: ryanquinnnelson
uncertainty-sampling,Open Active Learning for Deep Models
User: sid-devic
uncertainty-sampling,UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.
Organization: surgroup
uncertainty-sampling,PHD Thesis at CERFACS: Uncertainty Quantification for High Dimensional Problems
User: tupui
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