M
Michael J. Pazzani
Researcher at University of California, Riverside
Publications - 190
Citations - 29519
Michael J. Pazzani is an academic researcher from University of California, Riverside. The author has contributed to research in topics: Explanation-based learning & Stability (learning theory). The author has an hindex of 62, co-authored 183 publications receiving 28036 citations. Previous affiliations of Michael J. Pazzani include University of California & Rutgers University.
Papers
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Journal ArticleDOI
Energy-Efficient Integration of Continuous Context Sensing and Prediction into Smartwatches
Reza Rawassizadeh,Martin Tomitsch,Manouchehr Nourizadeh,Elaheh Momeni,Aaron Peery,Liudmila Ulanova,Michael J. Pazzani +6 more
TL;DR: In this paper, the authors propose an energy-efficient, generic, integrated framework for continuous context sensing and prediction on smartwatches, which is based on a semantic abstraction approach to convert sensor data into meaningful information objects similar to human perception of a behavior.
Proceedings ArticleDOI
Do-I-Care: a collaborative Web agent
TL;DR: This work proposes an innovative World Wide Web agent that uses a model of collaboration that leverages the natural incentives for individual users to easily provide for collaborative work.
Proceedings Article
A Methodology for Evaluating Theory Revision Systems: Results with Audrey II.
James Wogulis,Michael J. Pazzani +1 more
TL;DR: A measure for the distance between two theories is proposed that corresponds to the minimum number of edit operations at the literal level required to transform one theory into another, and the claim that a theory revision system makes few revisions to a theory may be quantitatively evaluated.
Proceedings Article
The role of prior causal theories in generalization
TL;DR: OCCAM is a program which organizes memories of events and learns by creating generalizations describing the reasons for the outcomes of the events, which are supported by a number of empirical investigations.