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Full-Text Articles in Computer Sciences
Who Are You? ...Honestly!, Zeinab Mahdavifar
Who Are You? ...Honestly!, Zeinab Mahdavifar
TAC Talks
Online social media has made life easier in many ways. Stay in touch with old classmates (Facebook), find a way to connect to like-minded professionals all over the globe (LinkedIn), and even seek help from fellow humans we could never imagine otherwise to help us (Mechanical Turk)! Social network profiles are never complete. Ascertaining personality traits and accurate determination of age and gender can make such social networks safer and stronger instruments of true collaboration and human connection.
In my talk, I will discuss the predictive models we built with the Social Media group within the Center for Data Science …
Private Predictive Modeling Power, Stacey C. Newman
Private Predictive Modeling Power, Stacey C. Newman
TAC Talks
The predictive potential of the many large datasets being held in healthcare, financial markets, social media, etc. by separate entities is locked behind privacy constraints. These separate entities either cannot share their data with one another or it is against their interests to do so. The ability to produce powerful predictive models that leverage knowledge from these different data sources is restrained by an inability to do so without revealing the data.
In my talk, I will outline our proposed protocol in which two different entities can build one of the most popular machine learning modules, a linear regression model …