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JMLR
2010
143views more  JMLR 2010»
13 years 6 months ago
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning
We extend the well-known BFGS quasi-Newton method and its memory-limited variant LBFGS to the optimization of nonsmooth convex objectives. This is done in a rigorous fashion by ge...
Jin Yu, S. V. N. Vishwanathan, Simon Günter, ...
IAJIT
2011
12 years 11 months ago
Network load and packet loss optimization during handoff using multi-scan approach
: Handoff is a critical function that enables mobile nodes to stay connected to the wireless network by switching the data connection from one WLAN to another. During handoff the c...
Anwar Saif, Mohammed Othman
CHI
2005
ACM
14 years 8 months ago
Profile before optimizing: a cognitive metrics approach to workload analysis
The Intelligence Analyst (IA) community will soon be the designated users of many new software tools. In the multitasking world of the IA, any one tool cannot be permitted to gree...
Wayne D. Gray, Michael J. Schoelles, Christopher W...
IPPS
2006
IEEE
14 years 1 months ago
A decomposition approach for optimizing the performance of MPI libraries
MPI provides a portable message passing interface for many parallel execution platforms but may lead to inefficiencies for some platforms and applications. In this article we sho...
O. Hartmann, Matthias Kühnemann, Thomas Raube...
MP
2008
117views more  MP 2008»
13 years 7 months ago
Stochastic programming approach to optimization under uncertainty
In this paper we discuss computational complexity and risk averse approaches to two and multistage stochastic programming problems. We argue that two stage (say linear) stochastic ...
Alexander Shapiro