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IV
2009
IEEE
128views Visualization» more  IV 2009»
16 years 1 months ago
Large Quasi-Tree Drawing: A Neighborhood Based Approach
In this paper, we present an algorithm to lay out a particular class of graphs coming from real case studies: the quasi-tree graph class. Protein and internet mappings projects ha...
Romain Bourqui, David Auber
FPGA
2007
ACM
153views FPGA» more  FPGA 2007»
16 years 27 days ago
Variation-aware routing for FPGAs
Chip design in the nanometer regime is becoming increasingly difficult due to process variations. ASIC designers have adopted statistical optimization techniques to mitigate the e...
Satish Sivaswamy, Kia Bazargan
DAGM
2008
Springer
15 years 8 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
COR
2008
116views more  COR 2008»
15 years 6 months ago
Robust multiperiod portfolio management in the presence of transaction costs
We study the viability of different robust optimization approaches to multiperiod portfolio selection. Robust optimization models treat future asset returns as uncertain coefficie...
Dimitris Bertsimas, Dessislava Pachamanova
NECO
1998
119views more  NECO 1998»
15 years 6 months ago
Density Estimation by Mixture Models with Smoothing Priors
In the statistical approach for self-organizing maps (SOMs), learning is regarded as an estimation algorithm for a Gaussian mixture model with a Gaussian smoothing prior on the ce...
Akio Utsugi