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Wednesday February 1, 2017 @ 12:00 pm - 1:00 pm EST
DataBytes is an NCDS-sponsored lunchtime webinar series that gives our members and the larger data community the chance to discuss the most pressing and interesting issues in data science. Webinars are generally held on the first Wednesday of every month, excluding July. All webinars are easily accessible from the NCDS homepage and from this page.
Abstract: Real-World data is often generated continuously and is non-stationary. Therefore, as we develop and implement new technology to collect new data, new information can be incompatible with the old datasets due to the change of dimensionality and knowledge. Hence, incremental and active learning systems can address these issues. They can incrementally update the existing decision boundaries based on new data. We will present advances in incremental learning and unsupervised and semi-supervised classification, and their applications to citation and genomic data.