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ICCS
2005
Springer
14 years 3 months ago
Bulk Synchronous Parallel ML: Modular Implementation and Performance Prediction
Abstract. BSML is a library for parallel programming with the functional language Objective Caml. It is based on an extension of the λcalculus by parallel operations on a parallel...
Frédéric Loulergue, Fréd&eacu...
DPD
2006
141views more  DPD 2006»
13 years 10 months ago
Efficient parallel processing of range queries through replicated declustering
A common technique used to minimize I/O in data intensive applications is data declustering over parallel servers. This technique involves distributing data among several disks so...
Hakan Ferhatosmanoglu, Ali Saman Tosun, Guadalupe ...
IFIP
2010
Springer
14 years 3 months ago
A Novel Framework for Data Registration and Data Fusion in Presence of Multi-modal Sensors
Abstract. This article presents a novel framework to register and fuse heterogeneous sensory data. Our approach is based on geometrically registration of sensory data onto a set of...
Hadi Aliakbarpour, João Filipe Ferreira, Ka...
WWW
2011
ACM
13 years 5 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...
HIPC
2003
Springer
14 years 3 months ago
Parallel and Distributed Frequent Itemset Mining on Dynamic Datasets
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...