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» A framework for distributed simulation optimization
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CORR
2000
Springer
84views Education» more  CORR 2000»
14 years 11 months ago
Robust Classification for Imprecise Environments
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
Foster J. Provost, Tom Fawcett
TCAD
2002
73views more  TCAD 2002»
14 years 11 months ago
A timing-constrained simultaneous global routing algorithm
In this paper, we propose a new approach for VLSI interconnect global routing that can optimize both congestion and delay, which are often competing objectives. Our approach provi...
Jiang Hu, Sachin S. Sapatnekar
ENTCS
2007
190views more  ENTCS 2007»
14 years 11 months ago
Modelling Multicast QoS Routing by using Best-Tree Search in And-or Graphs and Soft Constraint Logic Programming
We suggest a formal model to represent and solve the multicast routing problem in multicast networks. To attain this, we model the network adapting it to a weighted and-or graph, ...
Stefano Bistarelli, Ugo Montanari, Francesca Rossi...
MVA
2007
179views Computer Vision» more  MVA 2007»
14 years 11 months ago
Multi-object trajectory tracking
The majority of existing tracking algorithms are based on the maximum a posteriori (MAP) solution of a probabilistic framework using a Hidden Markov Model, where the distribution ...
Mei Han, Wei Xu, Hai Tao, Yihong Gong
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
14 years 9 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...