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» A Sequential Monte Carlo Method for Motif Discovery
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SIAMNUM
2010
105views more  SIAMNUM 2010»
13 years 3 months ago
Quantization Based Filtering Method Using First Order Approximation
The quantization based filtering method (see [13], [14]) is a grid based approximation method to solve nonlinear filtering problems with discrete time observations. It relies on o...
Afef Sellami
DAC
2006
ACM
14 years 3 months ago
Clock buffer and wire sizing using sequential programming
This paper investigates methods for clock skew minimization using buffer and wire sizing. First, a technique that significantly improves solution quality and stability of sequent...
Matthew R. Guthaus, Dennis Sylvester, Richard B. B...
WEA
2007
Springer
114views Algorithms» more  WEA 2007»
14 years 3 months ago
Improving Tree Search in Phylogenetic Reconstruction from Genome Rearrangement Data
Abstract. A major task in evolutionary biology is to determine the ancestral relationships among the known species, a process generally referred as phylogenetic reconstruction. In ...
Fei Ye, Yan Guo, Andrew Lawson, Jijun Tang
CDC
2009
IEEE
173views Control Systems» more  CDC 2009»
14 years 1 months ago
Sequentially updated Probability Collectives
— Multi-agent coordination problems can be cast as distributed optimization tasks. Probability Collectives (PCs) are techniques that deal with such problems in discrete and conti...
Michalis Smyrnakis, David S. Leslie
NIPS
2008
13 years 10 months ago
Modeling the effects of memory on human online sentence processing with particle filters
Language comprehension in humans is significantly constrained by memory, yet rapid, highly incremental, and capable of utilizing a wide range of contextual information to resolve ...
Roger P. Levy, Florencia Reali, Thomas L. Griffith...