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Filtering by: Creator Herlocker, Jon Committee Member Fern, Alan

Activity recognition in desktop environments

Creator:

Shen, Jianqiang

Abstract:

Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...

Resource Type:

Dissertation

Full Text:

Fern, Jon Herlocker and Prasad Tadepalli for their excellent suggestions and thought-provoking
Applying machine learning for prediction, recommendation, and integration

Creator:

Bao, Xinlong

Abstract:

This dissertation explores the idea of applying machine learning technologies to help computer users find information and better organize electronic resources, by presenting the research work conducted in the following three applications: FolderPredictor, Stacking Recommendation Engines, and Integrating Learning and Reasoning. FolderPredictor is an intelligent desktop software tool that helps...

Resource Type:

Dissertation

Full Text:

Bergman, Alan Fern, Jon Herlocker and Prasad Tadepalli. They generously contributed their time and
Efficient training and feature induction in sequential supervised learning

Creator:

Hao, Guohua

Abstract:

Sequential supervised learning problems arise in many real applications. This dissertation focuses on two important research directions in sequential supervised learning: efficient training and feature induction. In the direction of efficient training, we study the training of conditional random fields (CRFs), which provide a flexible and powerful model for sequential...

Resource Type:

Dissertation

Full Text:

, Professor Prasad Tadepalli, and Professor Jon Herlocker, for their kindly support and guidance to my PhD