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» Modeling Relational Data by the Adjacency Model
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116
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CVGIP
2007
99views more  CVGIP 2007»
15 years 3 months ago
Meshless geometric subdivision
Point-based surface processing has developed into an attractive alternative to mesh-based processing techniques for a number of geometric modeling applications. By working with po...
Carsten Moenning, Facundo Mémoli, Guillermo...
159
Voted
BMCBI
2010
149views more  BMCBI 2010»
15 years 3 months ago
A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context
Background: Obesity is a multifactorial trait, which comprises an independent risk factor for cardiovascular disease (CVD). The aim of the current work is to study the complex eti...
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Ke...
138
Voted
COLT
2010
Springer
15 years 1 months ago
Quantum Predictive Learning and Communication Complexity with Single Input
We define a new model of quantum learning that we call Predictive Quantum (PQ). This is a quantum analogue of PAC, where during the testing phase the student is only required to a...
Dmitry Gavinsky
KDD
2008
ACM
150views Data Mining» more  KDD 2008»
16 years 3 months ago
Hypergraph spectral learning for multi-label classification
A hypergraph is a generalization of the traditional graph in which the edges are arbitrary non-empty subsets of the vertex set. It has been applied successfully to capture highord...
Liang Sun, Shuiwang Ji, Jieping Ye
143
Voted
BIBE
2007
IEEE
114views Bioinformatics» more  BIBE 2007»
15 years 10 months ago
A Hierarchical Grow-and-Match Algorithm for Backbone Resonance Assignments Given 3D Structure
Abstract—This paper develops an algorithm for NMR backbone resonance assignment given a 3D structure and a set of relatively sparse 15 N-edited NMR data, with the through-space 1...
Fei Xiong, Chris Bailey-Kellogg