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» Maintaining Spatial Data Sets in Distributed-Memory Machines
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WWW
2011
ACM
13 years 2 months ago
Parallel boosted regression trees for web search ranking
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...
ICNC
2005
Springer
14 years 1 months ago
Training Data Selection for Support Vector Machines
Abstract. In recent years, support vector machines (SVMs) have become a popular tool for pattern recognition and machine learning. Training a SVM involves solving a constrained qua...
Jigang Wang, Predrag Neskovic, Leon N. Cooper
ICDM
2006
IEEE
193views Data Mining» more  ICDM 2006»
14 years 1 months ago
Feature Subset Selection on Multivariate Time Series with Extremely Large Spatial Features
Several spatio-temporal data collected in many applications, such as fMRI data in medical applications, can be represented as a Multivariate Time Series (MTS) matrix with m rows (...
Hyunjin Yoon, Cyrus Shahabi
TPDS
1998
98views more  TPDS 1998»
13 years 7 months ago
A Basic-Cycle Calculation Technique for Efficient Dynamic Data Redistribution
—Array redistribution is usually required to enhance algorithm performance in many parallel programs on distributed memory multicomputers. Since it is performed at run-time, ther...
Yeh-Ching Chung, Ching-Hsien Hsu, Sheng-Wen Bai
GIS
2010
ACM
13 years 5 months ago
Querying geo-social data by bridging spatial networks and social networks
Recording the location of people using location-acquisition technologies, such as GPS, allows generating life patterns, which associate people to places they frequently visit. Con...
Yerach Doytsher, Ben Galon, Yaron Kanza