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» The Structure Function and Distinguishable Models of Data
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UAI
1996
13 years 8 months ago
Learning Equivalence Classes of Bayesian Network Structures
Two Bayesian-network structures are said to be equivalent if the set of distributions that can be represented with one of those structures is identical to the set of distributions...
David Maxwell Chickering
MICCAI
2004
Springer
14 years 8 months ago
Accurate Quantification of Small-Diameter Tubular Structures in Isotropic CT Volume Data Based on Multiscale Line Filter Respons
Abstract. A method fully utilizing multiscale line filter responses is presented to estimate the point spread function (PSF) of a CT scanner and diameters of small tubular structur...
Yoshinobu Sato, Shuji Yamamoto, Shinichi Tamura
IJCNN
2007
IEEE
14 years 1 months ago
Agnostic Learning versus Prior Knowledge in the Design of Kernel Machines
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
Gavin C. Cawley, Nicola L. C. Talbot
BIB
2007
82views more  BIB 2007»
13 years 7 months ago
High-throughput modeling and analysis of protein structural dynamics
Protein function is a dynamic property closely related to the conformational mechanisms of protein structure in its physiological environment. To understand and control the functi...
Xiong Liu, Hassan A. Karimi
SODA
2010
ACM
200views Algorithms» more  SODA 2010»
14 years 4 months ago
Fully-Functional Succinct Trees
We propose new succinct representations of ordinal trees, which have been studied extensively. It is known that any n-node static tree can be represented in 2n + o(n) bits and a l...
Kunihiko Sadakane, Gonzalo Navarro