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ICASSP
2009
IEEE
15 years 10 months ago
Map approach to learning sparse Gaussian Markov networks
Recently proposed l1-regularized maximum-likelihood optimization methods for learning sparse Markov networks result into convex problems that can be solved optimally and efficien...
Narges Bani Asadi, Irina Rish, Katya Scheinberg, D...
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
15 years 10 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
ICPR
2008
IEEE
15 years 10 months ago
Determination of optimal metabolic pathways through a new learning algorithm
In the present article, we introduce a new method for identification of metabolic pathways in constraint based models that consider enzyme and substrate concentrations. It genera...
C. A. Murthy, Mouli Das, Rajat K. De, Subhasis Muk...
118
Voted
ICMCS
2006
IEEE
105views Multimedia» more  ICMCS 2006»
15 years 9 months ago
Web based Chinese Calligraphy Learning with 3-D Visualization Method
Chinese calligraphy is pictographic and each calligraphist has his own writing style. People often feel difficult in writing a demanded beautiful calligraphy style. In order to he...
Yingfei Wu, Yueting Zhuang, Yunhe Pan, Jiangqin Wu
ICRA
2005
IEEE
91views Robotics» more  ICRA 2005»
15 years 9 months ago
Learning to Steer on Winding Tracks Using Semi-Parametric Control Policies
— We present a semi-parametric control policy representation and use it to solve a series of nonholonomic control problems with input state spaces of up to 7 dimensions. A neares...
Kenneth Robert Alton, Michiel van de Panne