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SIGIR
2006
ACM
16 years 22 days ago
Learning a ranking from pairwise preferences
We introduce a novel approach to combining rankings from multiple retrieval systems. We use a logistic regression model or an SVM to learn a ranking from pairwise document prefere...
Ben Carterette, Desislava Petkova
EUROPAR
2005
Springer
16 years 10 days ago
Automatic Tuning of PDGEMM Towards Optimal Performance
Sophisticated parallel matrix multiplication algorithms like PDGEMM exhibit a complex structure and can be controlled by a large set of parameters including blocking factors and bl...
Sascha Hunold, Thomas Rauber
LATIN
2004
Springer
16 years 4 days ago
On the Competitiveness of AIMD-TCP within a General Network
This paper presents a new mathematical model of AIMD (Additive Increase Multiplicative Decrease) TCP for general networks that we believe is better than those previously used when...
Jeff Edmonds
PPSN
1998
Springer
15 years 11 months ago
Niching and Elitist Models for MOGAs
This paper examines several niching and elitist models applied to Multiple-Objective Genetic Algorithms (MOGAs). Test cases consider a simple problem as well as multidisciplinary d...
Shigeru Obayashi, Shinichi Takahashi, Yukihiro Tak...
RECOMB
1997
Springer
15 years 11 months ago
A more efficient approximation scheme for tree alignment
We present a new polynomial time approximation scheme (PTAS) for tree alignment, which is an important variant of multiple sequence alignment. As in the existing PTASs in the liter...
Lusheng Wang, Tao Jiang, Dan Gusfield