- This paper presents the use of a Markov-based model for analyzing iterative design processes. Techniques are developed for collecting process metadata and calibrating the model. ...
Eric W. Johnson, Luis A. Castillo, Jay B. Brockman
—Cloud computing is enabling groups of academic collaborators, groups of business partners, etc., to come together in an ad-hoc manner. This paper focuses on the group-based data...
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
Stephen Tyree, Kilian Q. Weinberger, Kunal Agrawal...
Abstract. Network worms are malicious programs that spread automatically across networks by exploiting vulnerabilities that affect a large number of hosts. Because of the speed at...
We present a novel parallel algorithm for fast continuous collision detection (CCD) between deformable models using multi-core processors. We use a hierarchical representation to ...