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» Exploiting nonstationarity for performance prediction
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ICPR
2004
IEEE
15 years 10 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo
ICML
2004
IEEE
15 years 10 months ago
A graphical model for protein secondary structure prediction
In this paper, we present a graphical model for protein secondary structure prediction. This model extends segmental semi-Markov models (SSMM) to exploit multiple sequence alignme...
Wei Chu, Zoubin Ghahramani, David L. Wild
HPCA
2002
IEEE
15 years 10 months ago
Improving Value Communication for Thread-Level Speculation
Thread-Level Speculation (TLS) allows us to automatically parallelize general-purpose programs by supporting parallel execution of threads that might not actually be independent. ...
J. Gregory Steffan, Christopher B. Colohan, Antoni...
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MOBISYS
2009
ACM
15 years 10 months ago
Predictive methods for improved vehicular WiFi access
With the proliferation of WiFi technology, many WiFi networks are accessible from vehicles on the road making vehicular WiFi access realistic. However, several challenges exist: l...
Pralhad Deshpande, Anand Kashyap, Chul Sung, Samir...
AAAI
2012
13 years 2 days ago
Competing with Humans at Fantasy Football: Team Formation in Large Partially-Observable Domains
We present the first real-world benchmark for sequentiallyoptimal team formation, working within the framework of a class of online football prediction games known as Fantasy Foo...
Tim Matthews, Sarvapali D. Ramchurn, Georgios Chal...