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» Structure learning of Bayesian networks using constraints
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SBRN
2000
IEEE
15 years 9 months ago
An Evolutionary Immune Network for Data Clustering
This paper explores basic aspects of the immune system and proposes a novel immune network model with the main goals of clustering and filtering unlabeled numerical data sets. It ...
Leandro Nunes de Castro, Fernando J. Von Zuben
150
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MOBISYS
2004
ACM
16 years 4 months ago
Energy-Efficient Surveillance System Using Wireless Sensor Networks
The focus of surveillance missions is to acquire and verify information about enemy capabilities and positions of hostile targets. Such missions often involve a high element of ri...
Tian He, Sudha Krishnamurthy, John A. Stankovic, T...
CORR
2010
Springer
147views Education» more  CORR 2010»
15 years 4 months ago
Modeling the structure and evolution of discussion cascades
We analyze the structure and evolution of discussion cascades in four popular websites: Slashdot, Barrapunto, Meneame and Wikipedia. Despite the big heterogeneities between these ...
Vicenç Gómez, Hilbert J. Kappen, And...
IJCAI
1997
15 years 5 months ago
Evolvable Hardware for Generalized Neural Networks
This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
Masahiro Murakawa, Shuji Yoshizawa, Isamu Kajitani...
SEMWEB
2007
Springer
15 years 10 months ago
Ontology Mapping: An Information Retrieval and Interactive Activation Network Based Approach
Ontology mapping is to find semantic correspondences between similar elements of different ontologies. It is critical to achieve semantic interoperability in the WWW. This paper pr...
Ming Mao