Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
We investigate the well-known PRAM model of parallel computation as a practical parallel programming model. The two components of this project are a general-purpose PRAM programmin...
We exploit some useful properties of Gaussian process (GP) regression models for reinforcement learning in continuous state spaces and discrete time. We demonstrate how the GP mod...
d Abstract) Richard J. Anderson Paul Beame Walter L. Ruzzo Department of Computer Science and Engineering University of Washingtoni We introduce a task scheduling model which is u...