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GFKL
2007
Springer
184views Data Mining» more  GFKL 2007»
16 years 23 days ago
A Probabilistic Relational Model for Characterizing Situations in Dynamic Multi-Agent Systems
Abstract. Artificial systems with a high degree of autonomy require reliable semantic information about the context they operate in. State interpretation, however, is a difficult ...
Daniel Meyer-Delius, Christian Plagemann, Georg vo...
ICASSP
2011
IEEE
14 years 10 months ago
Time-evolving modeling of social networks
A statistical framework for modeling and prediction of binary matrices is presented. The method is applied to social network analysis, specifically the database of US Supreme Cou...
Eric Wang, Jorge Silva, Rebecca Willett, Lawrence ...
ICASSP
2010
IEEE
15 years 6 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
ITIIS
2010
138views more  ITIIS 2010»
15 years 1 months ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
ICRA
2002
IEEE
152views Robotics» more  ICRA 2002»
15 years 11 months ago
Needle Insertion Modelling and Simulation
Abstract—A methodology for estimating the force distribution that occurs along a needle shaft during insertion is described. To validate the approach, an experimental system for ...
Simon P. DiMaio, S. E. Salcudean