Characterizing machine learning process: A maturity framework

no code implementations • 12 Nov 2018 • Rama Akkiraju, Vibha Sinha, Anbang Xu, Jalal Mahmud, Pritam Gundecha, Zhe Liu, Xiaotong Liu, John Schumacher

For example, existing machine learning processes cannot address how to define business use cases for an AI application, how to convert business requirements from offering managers into data requirements for data scientists, and how to continuously improve AI applications in term of accuracy and fairness, and how to customize general purpose machine learning models with industry, domain, and use case specific data to make them more accurate for specific situations etc.

BIG-bench Machine Learning Fairness +1

25 Tweets to Know You: A New Model to Predict Personality with Social Media

no code implementations • 18 Apr 2017 • Pierre-Hadrien Arnoux, Anbang Xu, Neil Boyette, Jalal Mahmud, Rama Akkiraju, Vibha Sinha

Predicting personality is essential for social applications supporting human-centered activities, yet prior modeling methods with users written text require too much input data to be realistically used in the context of social media.

Gaussian Processes regression

Fostering User Engagement: Rhetorical Devices for Applause Generation Learnt from TED Talks

no code implementations • 17 Mar 2017 • Zhe Liu, Anbang Xu, Mengdi Zhang, Jalal Mahmud, Vibha Sinha

One problem that every presenter faces when delivering a public discourse is how to hold the listeners' attentions or to keep them involved.

regression