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ACPC
1999
Springer
14 years 1 months ago
Optimizing I/O for Irregular Applications on Distributed-Memory Machines
In this paper we present the design, implementation and evaluation of a runtime system based on collective I/O techniques for irregular applications. Its main goal is to provide pa...
Jesús Carretero, Jaechun No, Alok N. Choudh...
ICML
2009
IEEE
14 years 4 months ago
A novel lexicalized HMM-based learning framework for web opinion mining
Merchants selling products on the Web often ask their customers to share their opinions and hands-on experiences on products they have purchased. As e-commerce is becoming more an...
Wei Jin, Hung Hay Ho
NIPS
2008
13 years 10 months ago
QUIC-SVD: Fast SVD Using Cosine Trees
The Singular Value Decomposition is a key operation in many machine learning methods. Its computational cost, however, makes it unscalable and impractical for applications involvi...
Michael P. Holmes, Alexander G. Gray, Charles Lee ...
SIGOPS
2008
146views more  SIGOPS 2008»
13 years 9 months ago
Vigilant: out-of-band detection of failures in virtual machines
What do our computer systems do all day? How do we make sure they continue doing it when failures occur? Traditional approaches to answering these questions often involve inband m...
Dan Pelleg, Muli Ben-Yehuda, Richard Harper, Lisa ...
SIGIR
2011
ACM
13 years 1 days ago
Fast context-aware recommendations with factorization machines
The situation in which a choice is made is an important information for recommender systems. Context-aware recommenders take this information into account to make predictions. So ...
Steffen Rendle, Zeno Gantner, Christoph Freudentha...