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» Being Bayesian about Network Structure
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AMAI
2005
Springer
13 years 9 months ago
Robust inference of trees
Abstract. This paper is concerned with the reliable inference of optimal treeapproximations to the dependency structure of an unknown distribution generating data. The traditional ...
Marco Zaffalon, Marcus Hutter
BMCBI
2010
139views more  BMCBI 2010»
13 years 10 months ago
TOPSAN: a collaborative annotation environment for structural genomics
Background: Many protein structures determined in high-throughput structural genomics centers, despite their significant novelty and importance, are available only as PDB depositi...
Dana Weekes, S. Sri Krishna, Constantina Bakolitsa...
CSB
2005
IEEE
136views Bioinformatics» more  CSB 2005»
14 years 3 months ago
An Algebraic Geometry Approach to Protein Structure Determination from NMR Data
Our paper describes the first provably-efficient algorithm for determining protein structures de novo, solely from experimental data. We show how the global nature of a certain ...
Lincong Wang, Ramgopal R. Mettu, Bruce Randall Don...
ICWSM
2010
13 years 11 months ago
Tweeting from the Town Square: Measuring Geographic Local Networks
This paper examines tweets about two geographically local events--a shooting and a building collapse--that took place in Wichita, Kansas and Atlanta, Georgia, respectively. Most I...
Sarita Yardi, Danah Boyd
PAMI
2011
13 years 4 months ago
Greedy Learning of Binary Latent Trees
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
Stefan Harmeling, Christopher K. I. Williams