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» Minimization of an M-convex Function
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SIGMOD
2010
ACM
598views Database» more  SIGMOD 2010»
15 years 11 months ago
Ricardo: integrating R and Hadoop
Many modern enterprises are collecting data at the most detailed level possible, creating data repositories ranging from terabytes to petabytes in size. The ability to apply sophi...
Sudipto Das, Yannis Sismanis, Kevin S. Beyer, Rain...
CIKM
2009
Springer
15 years 11 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...
INFOCOM
2000
IEEE
15 years 11 months ago
QoS Routing with Performance-Dependent Costs
Abstract—We study a network model in which each network link is associated with a set of delays and costs. These costs are a function of the delays and reflect the prices paid i...
Funda Ergün, Rakesh K. Sinha, Lisa Zhang
DM
1998
91views more  DM 1998»
15 years 6 months ago
On some relations between 2-trees and tree metrics
A tree function (TF) t on a ÿnite set X is a real function on the set of the pairs of elements of X satisfying the four-point condition: for all distinct x; y; z; w ∈ X; t(xy)+...
Bruno Leclerc, Vladimir Makarenkov
MP
2002
176views more  MP 2002»
15 years 6 months ago
UOBYQA: unconstrained optimization by quadratic approximation
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
M. J. D. Powell