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UAI
1996
15 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
LICS
2003
IEEE
16 years 11 hour ago
Model-checking Trace Event Structures
Given a regular collection of Mazurkiewicz traces, which can be seen as the behaviours of a finite-state concurrent system, one can associate with it a canonical regular event st...
P. Madhusudan
COMPGEOM
2005
ACM
15 years 8 months ago
The skip quadtree: a simple dynamic data structure for multidimensional data
We present a new multi-dimensional data structure, which we call the skip quadtree (for point data in R2) or the skip octree (for point data in Rd, with constant d > 2). Our da...
David Eppstein, Michael T. Goodrich, Jonathan Z. S...
ICA
2010
Springer
15 years 7 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
161
Voted
CCE
2008
15 years 6 months ago
Prediction of secondary structures of proteins using a two-stage method
Protein structure determination and prediction has been a focal research subject in life sciences due to the importance of protein structure in understanding the biological and ch...
Fadime Üney Yüksektepe, Özlem Yilma...