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ADMA
2006
Springer
121views Data Mining» more  ADMA 2006»
14 years 2 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
DAWAK
2005
Springer
14 years 2 months ago
A Tree Comparison Approach to Detect Changes in Data Warehouse Structures
Abstract. We present a technique for discovering and representing changes between versions of data warehouse structures. We select a tree comparison algorithm, adapt it for the par...
Johann Eder, Christian Koncilia, Karl Wiggisser
PPAM
2007
Springer
14 years 2 months ago
The Relevance of New Data Structure Approaches for Dense Linear Algebra in the New Multi-Core / Many Core Environments
For about ten years now, Bo K˚agstr¨om’s Group in Umea, Sweden, Jerzy Wa´sniewski’s Team at Danish Technical University in Lyngby, Denmark, and I at IBM Research in Yorktown...
Fred G. Gustavson
IJON
2008
109views more  IJON 2008»
13 years 8 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