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» Defining implicit objective functions for design problems
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ICML
2009
IEEE
14 years 9 months ago
Proximal regularization for online and batch learning
Many learning algorithms rely on the curvature (in particular, strong convexity) of regularized objective functions to provide good theoretical performance guarantees. In practice...
Chuong B. Do, Quoc V. Le, Chuan-Sheng Foo
FOCS
1992
IEEE
14 years 1 months ago
Fault-tolerant Wait-free Shared Objects
Wait-free implementations of shared objects tolerate the failure of processes, but not the failure of base objects from which they are implemented. We consider the problem of imple...
Prasad Jayanti, Tushar Deepak Chandra, Sam Toueg
MICAI
2004
Springer
14 years 2 months ago
A Preprocessing That Combines Heuristic and Surrogate Constraint Analysis to Fix Variables in TSP
A preprocessing procedure that uses a local guided search defined in terms of a neighborhood structure to get a feasible solution (UB) and the Osorio and Glover[18, 20] exploiting ...
María Auxilio Osorio Lama, David Pinto
ACSD
2005
IEEE
90views Hardware» more  ACSD 2005»
14 years 2 months ago
Extensible and Scalable Time Triggered Scheduling
The objective of this paper is to present how to design a system that can accommodate additional functionality with either no changes to the design or adding architectural modules...
Wei Zheng, Jike Chong, Claudio Pinello, Sri Kanaja...
WSC
2000
13 years 10 months ago
An integrated object model for activity network based simulation
This paper describes an object-orientated simulation approach towards an integrated planning of production systems. The main obstacle for an integrated use of simulation over diff...
Gert Zülch, Jörg Fischer, Uwe Jonsson