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JMLR
2006
124views more  JMLR 2006»
13 years 10 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...
WSC
2008
14 years 1 months ago
Yard crane dispatching based on real time data driven simulation for container terminals
This paper studies the problem of real time yard crane dispatching in container terminals. Many technologies, including transponders, RFID and GPS have been used in the container ...
Xi Guo, Shell-Ying Huang, Wen-Jing Hsu, Malcolm Yo...
CORR
2010
Springer
167views Education» more  CORR 2010»
13 years 10 months ago
Network Flow Algorithms for Structured Sparsity
We consider a class of learning problems that involve a structured sparsityinducing norm defined as the sum of -norms over groups of variables. Whereas a lot of effort has been pu...
Julien Mairal, Rodolphe Jenatton, Guillaume Obozin...
STOC
2001
ACM
115views Algorithms» more  STOC 2001»
14 years 11 months ago
Running time and program size for self-assembled squares
Recently Rothemund and Winfree 6] have considered the program size complexity of constructing squares by selfassembly. Here, we consider the time complexity of such constructions ...
Leonard M. Adleman, Qi Cheng, Ashish Goel, Ming-De...
SIROCCO
2004
14 years 3 days ago
Time Efficient Gossiping in Known Radio Networks
We study here the gossiping problem (all-to-all communication) in known radio networks, i.e., when all nodes are aware of the network topology. We start our presentation with a det...
Leszek Gasieniec, Igor Potapov, Qin Xin