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TSP
2010
15 years 2 months ago
Learning Gaussian tree models: analysis of error exponents and extremal structures
The problem of learning tree-structured Gaussian graphical models from independent and identically distributed (i.i.d.) samples is considered. The influence of the tree structure a...
Vincent Y. F. Tan, Animashree Anandkumar, Alan S. ...
226
Voted
KCAP
2011
ACM
14 years 10 months ago
Language resources extracted from Wikipedia
Wikipedia provides an interesting amount of text for more than hundred languages. This also includes languages where no reference corpora or other linguistic resources are easily ...
Denny Vrandecic, Philipp Sorg, Rudi Studer
ASPDAC
2008
ACM
134views Hardware» more  ASPDAC 2008»
15 years 9 months ago
Automatic re-coding of reference code into structured and analyzable SoC models
The quality of the input system model has a direct bearing on the effectiveness of the system exploration and synthesis tools. Given a well-structured system model, tools today are...
Pramod Chandraiah, Rainer Dömer
AUSAI
2008
Springer
15 years 9 months ago
Learning a Generative Model for Structural Representations
Abstract. Graph-based representations have been used with considercess in computer vision in the abstraction and recognition of object shape and scene structure. Despite this, the ...
Andrea Torsello, David L. Dowe
ESWA
2008
204views more  ESWA 2008»
15 years 7 months ago
A comparison of neural network and multiple regression analysis in modeling capital structure
Empirical studies of the variation in debt ratios across firms have used statistical models singularly to analyze the important determinants of capital structure. Researchers, how...
Hsiao-Tien Pao