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Streaming stochastic variational Bayes: An improved approach for inference with concept drifting data streams

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RT @srinath_perera: Preprint for the paper on New Bayesian-based Streaming ML algorithm, https://t.co/XMGlhB6Dtc #AI #BigData
181 days ago
RT @srinath_perera: Preprint for the paper on New Bayesian-based Streaming ML algorithm, https://t.co/XMGlhB6Dtc #AI #BigData
Preprint for the paper on New Bayesian-based Streaming ML algorithm, https://t.co/XMGlhB6Dtc #AI #BigData
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Supplemental Information

Appendices to the paper that present additional proofs, model specifications and experiments

DOI: 10.7287/peerj.preprints.27790v2/supp-1

Additional Information

Competing Interests

Nadheesh Jihan, Malith Jayasinghe, and Srinath Perera are employed by WSO2 Inc.

Author Contributions

Nadheesh Jihan conceived and designed the experiments, performed the experiments, analyzed the data, contributed reagents/materials/analysis tools, prepared figures and/or tables, performed the computation work, authored or reviewed drafts of the paper.

Malith Jayasinghe authored or reviewed drafts of the paper.

Srinath Perera authored or reviewed drafts of the paper, approved the final draft.

Data Deposition

The following information was supplied regarding data availability:

Code is available at GitHub in the nadheesh/ssvb repository (https://github.com/nadheesh/ssvb)

Data is available at 20News (http://qwone.com/~jason/20Newsgroups/), MNIST (http://yann.lecun.com/exdb/mnist/), Otto product ( https://www.kaggle.com/c/otto-group-product-classification-challenge), Airline (https://kt.ijs.si/elena_ikonomovska/data.html) and Poker hand (https://archive.ics.uci.edu/ml/datasets/Poker+Hand)

Funding

The authors received no funding for this work.


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