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BIBE
2008
IEEE
111views Bioinformatics» more  BIBE 2008»
15 years 4 months ago
Structure learning for biomolecular pathways containing cycles
Bayesian network structure learning is a useful tool for elucidation of regulatory structures of biomolecular pathways. The approach however is limited by its acyclicity constraint...
S. Itani, Karen Sachs, Garry P. Nolan, M. A. Dahle...
IJCAI
2001
15 years 3 months ago
Active Learning for Structure in Bayesian Networks
The task of causal structure discovery from empirical data is a fundamental problem in many areas. Experimental data is crucial for accomplishing this task. However, experiments a...
Simon Tong, Daphne Koller
NAR
2000
120views more  NAR 2000»
15 years 2 months ago
SCOP: a Structural Classification of Proteins database
The Structural Classification of Proteins (SCOP) database provides a detailed and comprehensive description of the relationships of all known proteins structures. The classificati...
Loredana Lo Conte, Bart Ailey, Tim J. P. Hubbard, ...
118
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IDEAL
2009
Springer
15 years 4 days ago
An Automatic Segmentation and Reconstruction of Mandibular Structures from CT-Data
In any medical data analysis a good visualization of specific parts or tissues are fundamental in order to perform accurate diagnosis and treatments. For a better understanding of ...
Iñigo Barandiarán, Iván Mac&i...
KDD
1994
ACM
116views Data Mining» more  KDD 1994»
15 years 6 months ago
Exception Dags as Knowledge Structures
: The problem of transforming the knowledge bases of performance systems using induced rules or decision trees into comprehensible knowledgestructures is addressed. A knowledgestru...
Brian R. Gaines