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ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
14 years 1 months ago
A New Polynomial Time Algorithm for Bayesian Network Structure Learning
We propose a new algorithm called SCD for learning the structure of a Bayesian network. The algorithm is a kind of constraintbased algorithm. By taking advantage of variable orderi...
Sanghack Lee, Jihoon Yang, Sungyong Park
PRL
2011
12 years 10 months ago
Structural matching of 2D electrophoresis gels using deformed graphs
2D electrophoresis is a well known method for protein separation which is extremely useful in the field of proteomics. Each spot in the image represents a protein accumulation an...
Alexandre Noma, Alvaro Pardo, Roberto Marcondes Ce...
IJON
2008
109views more  IJON 2008»
13 years 7 months ago
Unsupervised learning neural network with convex constraint: Structure and algorithm
This paper proposed a kind of unsupervised learning neural network model, which has special structure and can realize an evaluation and classification of many groups by the compres...
Hengqing Tong, Tianzhen Liu, Qiaoling Tong
GI
2004
Springer
14 years 1 months ago
Comparison of Load Balancing Algorithms for Structured Peer-to-Peer Systems
Abstract: Among other things, Peer-to-Peer (P2P) systems are very useful for managing large amounts of widely distributed data. Distributed Hash Tables (DHT) offer a highly scalabl...
Simon Rieche, Leo Petrak, Klaus Wehrle
JIIS
2000
111views more  JIIS 2000»
13 years 7 months ago
Multidimensional Index Structures in Relational Databases
Abstract. Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on effi...
Christian Böhm, Stefan Berchtold, Hans-Peter ...