In this paper we investigate multi-task learning in the context of Gaussian Processes (GP). We propose a model that learns a shared covariance function on input-dependent features...
Edwin V. Bonilla, Kian Ming Chai, Christopher K. I...
Remote sensing applications often concern very large volumes of spatio-temporal data, the emerging Grid computing technologies bring an effective solution to this problem. The Open...
In this paper we investigate temporal patterns of web search queries. We carry out several evaluations to analyze the properties of temporal profiles of queries, revealing promisi...
Enrique Alfonseca, Massimiliano Ciaramita, Keith H...
As the eXtensible Markup Language (XML) becomes a popular or standard language for exchanging data over the Internet/Web, there are a growing number of genome Web sites that make ...
Kei-Hoi Cheung, Yang Liu, Anuj Kumar, Michael Snyd...
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...