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AI
2002
Springer
13 years 10 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
NN
2007
Springer
106views Neural Networks» more  NN 2007»
13 years 10 months ago
Machine learning approach to color constancy
A number of machine learning (ML) techniques have recently been proposed to solve color constancy problem in computer vision. Neural networks (NNs) and support vector regression (...
Vivek Agarwal, Andrei V. Gribok, Mongi A. Abidi
SIGMOD
2008
ACM
191views Database» more  SIGMOD 2008»
14 years 11 months ago
Efficient aggregation for graph summarization
Graphs are widely used to model real world objects and their relationships, and large graph datasets are common in many application domains. To understand the underlying character...
Yuanyuan Tian, Richard A. Hankins, Jignesh M. Pate...
CASES
2006
ACM
14 years 4 months ago
Modeling heterogeneous SoCs with SystemC: a digital/MEMS case study
Designers of SoCs with non-digital components, such as analog or MEMS devices, can currently use high-level system design languages, such as SystemC, to model only the digital par...
Ankush Varma, Muhammad Yaqub Afridi, Akin Akturk, ...
ICDM
2007
IEEE
197views Data Mining» more  ICDM 2007»
14 years 5 months ago
Trend Motif: A Graph Mining Approach for Analysis of Dynamic Complex Networks
Complex networks have been used successfully in scientific disciplines ranging from sociology to microbiology to describe systems of interacting units. Until recently, studies of...
Ruoming Jin, Scott McCallen, Eivind Almaas