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» Structure learning of Bayesian networks using constraints
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IJPRAI
2002
93views more  IJPRAI 2002»
13 years 6 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
ISMB
2000
13 years 8 months ago
Prediction of the Number of Residue Contacts in Proteins
Knowing the number of residue contacts in a protein is crucial for deriving constraints useful in modeling protein folding, protein structure, and/or scoring remote homology searc...
Piero Fariselli, Rita Casadio
CVPR
2004
IEEE
14 years 8 months ago
High-Zoom Video Hallucination by Exploiting Spatio-Temporal Regularities
In this paper, we consider the problem of super-resolving a human face video by a very high (?16) zoom factor. Inspired by recent literature on hallucination and examplebased lear...
Göksel Dedeoglu, Jonas August, Takeo Kanade
PERCOM
2003
ACM
14 years 6 months ago
Smart Identification Frameworks for Ubiquitous Computing Applications
Abstract. We present our results of the conceptual design and the implementation of ubiquitous computing applications using smart identification technologies. First, we describe su...
Friedemann Mattern, Kay Römer, Thomas Dü...
BMCBI
2010
191views more  BMCBI 2010»
13 years 6 months ago
BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions
Background: Genome-scale metabolic reconstructions under the Constraint Based Reconstruction and Analysis (COBRA) framework are valuable tools for analyzing the metabolic capabili...
Jan Schellenberger, Junyoung O. Park, Tom M. Conra...