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BMCBI
2010
147views more  BMCBI 2010»
13 years 7 months ago
Learning biological network using mutual information and conditional independence
Background: Biological networks offer us a new way to investigate the interactions among different components and address the biological system as a whole. In this paper, a revers...
Dong-Chul Kim, Xiaoyu Wang, Chin-Rang Yang, Jean G...
BMCBI
2010
178views more  BMCBI 2010»
13 years 7 months ago
Selecting high-dimensional mixed graphical models using minimal AIC or BIC forests
Background: Chow and Liu showed that the maximum likelihood tree for multivariate discrete distributions may be found using a maximum weight spanning tree algorithm, for example K...
David Edwards, Gabriel C. G. de Abreu, Rodrigo Lab...
TON
2010
171views more  TON 2010»
13 years 2 months ago
Constructing Maximum-Lifetime Data-Gathering Forests in Sensor Networks
Abstract--Energy efficiency is critical for wireless sensor networks. The data-gathering process must be carefully designed to conserve energy and extend network lifetime. For appl...
Yan Wu, Zhoujia Mao, Sonia Fahmy, Ness B. Shroff
DSD
2007
IEEE
120views Hardware» more  DSD 2007»
14 years 1 months ago
Latency Minimization for Synchronous Data Flow Graphs
Synchronous Data Flow Graphs (SDFGs) are a very useful means for modeling and analyzing streaming applications. Some performance indicators, such as throughput, have been studied b...
Amir Hossein Ghamarian, Sander Stuijk, Twan Basten...
DATAMINE
1999
152views more  DATAMINE 1999»
13 years 7 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen