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» A Study of Branch Prediction Strategies
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ALT
2010
Springer
14 years 11 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
JSS
2000
97views more  JSS 2000»
14 years 9 months ago
Exploring the relationships between design measures and software quality in object-oriented systems
The first goal of this paper is to empirically explore the relationships between existing object-oriented coupling, cohesion, and inheritance measures and the probability of fault...
Lionel C. Briand, Jürgen Wüst, John W. D...
BMCBI
2008
128views more  BMCBI 2008»
14 years 9 months ago
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor bindin
Background: Biologically active sequence motifs often have positional preferences with respect to a genomic landmark. For example, many known transcription factor binding sites (T...
Nak-Kyeong Kim, Kannan Tharakaraman, Leonardo Mari...
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IPPS
2007
IEEE
15 years 3 months ago
On the Design of Online Scheduling Algorithms for Advance Reservations and QoS in Grids
Abstract— We consider the problem of providing QoS guarantees to Grid users through advance reservation of resources. Advance reservation mechanisms provide the ability to alloca...
Claris Castillo, George N. Rouskas, Khaled Harfous...
CCGRID
2006
IEEE
15 years 3 months ago
Statistical Data Reduction for Efficient Application Performance Monitoring
There is a growing need for systems that can monitor and analyze application performance data automatically in order to deliver reliable and sustained performance to applications....
Lingyun Yang, Jennifer M. Schopf, Catalin Dumitres...