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» Optimal Monte Carlo Algorithms
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BMCBI
2010
131views more  BMCBI 2010»
15 years 4 months ago
A comparison of approximation techniques for variance-based sensitivity analysis of biochemical reaction systems
Background: Sensitivity analysis is an indispensable tool for the analysis of complex systems. In a recent paper, we have introduced a thermodynamically consistent variance-based ...
Hong-Xuan Zhang, John Goutsias
141
Voted
TOIS
2010
128views more  TOIS 2010»
15 years 2 months ago
Learning author-topic models from text corpora
We propose a new unsupervised learning technique for extracting information about authors and topics from large text collections. We model documents as if they were generated by a...
Michal Rosen-Zvi, Chaitanya Chemudugunta, Thomas L...
CVPR
2004
IEEE
16 years 6 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
COMPGEOM
2005
ACM
15 years 6 months ago
Dynamic maintenance of molecular surfaces under conformational changes
We present an efficient algorithm for maintaining the boundary and surface area of protein molecules as they undergo conformational changes. We also describe a robust implementati...
Eran Eyal, Dan Halperin
COGSCI
2007
99views more  COGSCI 2007»
15 years 4 months ago
Language Evolution by Iterated Learning With Bayesian Agents
Languages are transmitted from person to person and generation to generation via a process of iterated learning: people learn a language from other people who once learned that la...
Thomas L. Griffiths, Michael L. Kalish