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KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 7 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
ICML
2009
IEEE
16 years 4 months ago
Structure learning of Bayesian networks using constraints
This paper addresses exact learning of Bayesian network structure from data and expert's knowledge based on score functions that are decomposable. First, it describes useful ...
Cassio Polpo de Campos, Zhi Zeng, Qiang Ji
DATE
2006
IEEE
78views Hardware» more  DATE 2006»
15 years 10 months ago
Functional constraints vs. test compression in scan-based delay testing
We present an approach to prevent overtesting in scan-based delay test. The test data is transformed with respect to functional constraints while simultaneously keeping as many po...
Ilia Polian, Hideo Fujiwara
CIKM
2011
Springer
14 years 4 months ago
Integrating and querying web databases and documents
There exist many interrelated information sources on the Internet that can be categorized into structured (database) and semistructured (documents). A key challenge is to integrat...
Carlos Garcia-Alvarado, Carlos Ordonez
BMCBI
2010
191views more  BMCBI 2010»
15 years 4 months ago
BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions
Background: Genome-scale metabolic reconstructions under the Constraint Based Reconstruction and Analysis (COBRA) framework are valuable tools for analyzing the metabolic capabili...
Jan Schellenberger, Junyoung O. Park, Tom M. Conra...