machine learning

We develop a flexible content-based search model that links the content preferences of search engine users to query search volume and click-through rates. Content preferences are defined over latent topics that describe the conten ...

Our paper studies whether language patterns elicited by a different level of stimulus during earnings conference calls are informative about firms' earnings. Executives endure various levels of pressure when presenting a scripted ...

Good learners are those who can adjust their behaviors according to environmental feedback. This adjustment, which is called adaptive learning, is the essential component in human and machine learning. In this presentation, Prof E ...