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CISIS
2011
IEEE
13 years 10 months ago
Improving Scheduling Techniques in Heterogeneous Systems with Dynamic, On-Line Optimisations
—Computational performance increasingly depends on parallelism, and many systems rely on heterogeneous resources such as GPUs and FPGAs to accelerate computationally intensive ap...
Marcin Bogdanski, Peter R. Lewis, Tobias Becker, X...
IDA
2011
Springer
14 years 4 months ago
Ubiquitous Knowledge Discovery
Ubiquitous Knowledge Discovery is a new research area at the intersection of machine learning and data mining with mobile and distributed systems. In this paper the main character...
João Gama, Michael May
WSDM
2010
ACM
242views Data Mining» more  WSDM 2010»
15 years 7 months ago
Improving Ad Relevance in Sponsored Search
We describe a machine learning approach for predicting sponsored search ad relevance. Our baseline model incorporates basic features of text overlap and we then extend the model t...
Dustin Hillard, Stefan Schroedl, Eren Manavoglu, H...
AUSAI
2008
Springer
14 years 12 months ago
Additive Regression Applied to a Large-Scale Collaborative Filtering Problem
Abstract. The much-publicized Netflix competition has put the spotlight on the application domain of collaborative filtering and has sparked interest in machine learning algorithms...
Eibe Frank, Mark Hall
MLDM
2009
Springer
15 years 4 months ago
Memory-Based Modeling of Seasonality for Prediction of Climatic Time Series
The paper describes a method for predicting climate time series that consist of significant annual and diurnal seasonal components and a short-term stockastic component. A memory...
Daniel Nikovski, Ganesan Ramachandran