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NIPS
2007
15 years 6 months ago
Multi-task Gaussian Process Prediction
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...
159
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ICCS
2005
Springer
15 years 10 months ago
Java-Based Grid Service Spread and Implementation in Remote Sensing Applications
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...
Yanguang Wang, Yong Xue, Jianqin Wang, Chaolin Wu,...
125
Voted
EMNLP
2009
15 years 2 months ago
Gazpacho and summer rash: lexical relationships from temporal patterns of web search queries
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...
147
Voted
BIBE
2001
IEEE
15 years 8 months ago
An XML Application For Genomic Data Interoperation
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...
AAAI
2010
15 years 6 months ago
Bayesian Matrix Factorization with Side Information and Dirichlet Process Mixtures
Matrix factorization is a fundamental technique in machine learning that is applicable to collaborative filtering, information retrieval and many other areas. In collaborative fil...
Ian Porteous, Arthur Asuncion, Max Welling