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» Graphs, partitions and Fibonacci numbers
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AI
2010
Springer
15 years 1 months ago
Understanding the scalability of Bayesian network inference using clique tree growth curves
Bayesian networks (BNs) are used to represent and ef ciently compute with multi-variate probability distributions in a wide range of disciplines. One of the main approaches to per...
Ole J. Mengshoel
KDD
2008
ACM
246views Data Mining» more  KDD 2008»
16 years 1 months ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
137
Voted
BMCBI
2010
143views more  BMCBI 2010»
15 years 1 months ago
ETE: a python Environment for Tree Exploration
Background: Many bioinformatics analyses, ranging from gene clustering to phylogenetics, produce hierarchical trees as their main result. These are used to represent the relations...
Jaime Huerta-Cepas, Joaquín Dopazo, Toni Ga...
JCB
2002
160views more  JCB 2002»
15 years 27 days ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
SPAA
2010
ACM
15 years 6 months ago
Tree network coding for peer-to-peer networks
Partitioning is the dominant technique to transmit large files in peer-to-peer networks. A peer can redistribute each part immediately after its download. BitTorrent combines thi...
Arne Vater, Christian Schindelhauer, Christian Ort...