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AAAI
2008
15 years 8 months ago
Feature Selection for Activity Recognition in Multi-Robot Domains
In multi-robot settings, activity recognition allows a robot to respond intelligently to the other robots in its environment. Conditional random fields are temporal models that ar...
Douglas L. Vail, Manuela M. Veloso
BMCBI
2010
149views more  BMCBI 2010»
15 years 6 months ago
RuleMonkey: software for stochastic simulation of rule-based models
Background: The system-level dynamics of many molecular interactions, particularly protein-protein interactions, can be conveniently represented using reaction rules, which can be...
Joshua Colvin, Michael I. Monine, Ryan N. Gutenkun...
KDD
2010
ACM
274views Data Mining» more  KDD 2010»
15 years 10 months ago
Grafting-light: fast, incremental feature selection and structure learning of Markov random fields
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
Jun Zhu, Ni Lao, Eric P. Xing
135
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ISAAC
2003
Springer
85views Algorithms» more  ISAAC 2003»
15 years 11 months ago
Geometric Restrictions on Producible Polygonal Protein Chains
Fixed-angle polygonal chains in 3D serve as an interesting model of protein backbones. Here we consider such chains produced inside a “machine” modeled crudely as a cone, and e...
Erik D. Demaine, Stefan Langerman, Joseph O'Rourke
AMC
2005
125views more  AMC 2005»
15 years 6 months ago
Wavelet multilayer Taylor Galerkin schemes for hyperbolic and parabolic problems
In this study wavelet based high-order Taylor Galerkin methods is introduced. Additional time layers are used to obtain high-order temporal accuracy unattainable within a two-step...
B. V. Rathish Kumar, Mani Mehra