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» Energy Models for Graph Clustering
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KDD
2004
ACM
137views Data Mining» more  KDD 2004»
15 years 10 months ago
Mining scale-free networks using geodesic clustering
Many real-world graphs have been shown to be scale-free— vertex degrees follow power law distributions, vertices tend to cluster, and the average length of all shortest paths is...
Andrew Y. Wu, Michael Garland, Jiawei Han
BMCBI
2007
265views more  BMCBI 2007»
15 years 4 months ago
Large scale clustering of protein sequences with FORCE -A layout based heuristic for weighted cluster editing
Background: Detecting groups of functionally related proteins from their amino acid sequence alone has been a long-standing challenge in computational genome research. Several clu...
Tobias Wittkop, Jan Baumbach, Francisco P. Lobo, S...
ICTAI
2009
IEEE
15 years 11 months ago
EBLearn: Open-Source Energy-Based Learning in C++
Energy-based learning (EBL) is a general framework to describe supervised and unsupervised training methods for probabilistic and non-probabilistic factor graphs. An energy-based ...
Pierre Sermanet, Koray Kavukcuoglu, Yann LeCun
ETFA
2008
IEEE
15 years 11 months ago
Automatic generation of bond graph models of process plants
This paper presents an application for the automatic generation of Bond Graph models. The basis for this automated creation is a modified plant model in the XML-format according t...
Sebastian Beez, Alexander Fay, Nina F. Thornhill
ISCC
2003
IEEE
119views Communications» more  ISCC 2003»
15 years 9 months ago
Optimization of Task Allocation in a Cluster-Based Sensor Network
Sensor networks have recently gained a lot of attention from the research community. Sensors are significantly resource-constrained devices and last till the depletion of their ba...
Mohamed F. Younis, Kemal Akkaya, Anugeetha Kunjith...