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» Comparing Networks from a Data Analysis Perspective
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CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
15 years 10 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
ISMDA
2001
Springer
15 years 9 months ago
Learning Bayesian-Network Topologies in Realistic Medical Domains
In recent years, a number of algorithms have been developed for learning the structure of Bayesian networks from data. In this paper we apply some of these algorithms to a realist...
Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf ...
ICML
2010
IEEE
15 years 3 months ago
Heterogeneous Continuous Dynamic Bayesian Networks with Flexible Structure and Inter-Time Segment Information Sharing
Classical dynamic Bayesian networks (DBNs) are based on the homogeneous Markov assumption and cannot deal with heterogeneity and non-stationarity in temporal processes. Various ap...
Frank Dondelinger, Sophie Lebre, Dirk Husmeier
IJKDB
2010
162views more  IJKDB 2010»
15 years 2 months ago
New Trends in Graph Mining: Structural and Node-Colored Network Motifs
Searching for repeated features characterizing biological data is fundamental in computational biology. When biological networks are under analysis, the presence of repeated modul...
Francesco Bruno, Luigi Palopoli, Simona E. Rombo
LCN
2003
IEEE
15 years 10 months ago
Regional Gossip Routing for Wireless Ad Hoc Networks
Abstract—Many routing protocols have been proposed for wireless ad hoc networks, and most of them are based on some variants of flooding. Thus many routing messages are propagat...
Xiang-Yang Li, Kousha Moaveninejad, Ophir Frieder