Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
—The Internet has become a cost-effective vehicle for software development and release, particular in the free software community. Given the free nature of this software, there a...
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
We view scientific workflows as the domain scientist's way to harness cyberinfrastructure for e-Science. Domain scientists are often interested in "end-to-end" fram...
Skewed distributions appear very often in practice. Unfortunately, the traditional Zipf distribution often fails to model them well. In this paper, we propose a new probability di...