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JCB
2006
185views more  JCB 2006»
15 years 6 months ago
A Probabilistic Methodology for Integrating Knowledge and Experiments on Biological Networks
Biological systems are traditionally studied by focusing on a specific subsystem, building an intuitive model for it, and refining the model using results from carefully designed ...
Irit Gat-Viks, Amos Tanay, Daniela Raijman, Ron Sh...
JMLR
2006
169views more  JMLR 2006»
15 years 6 months ago
Bayesian Network Learning with Parameter Constraints
The task of learning models for many real-world problems requires incorporating domain knowledge into learning algorithms, to enable accurate learning from a realistic volume of t...
Radu Stefan Niculescu, Tom M. Mitchell, R. Bharat ...
ENVSOFT
2007
166views more  ENVSOFT 2007»
15 years 6 months ago
The implications of complexity for integrated resources management
: Integrated environmental resources management is a purposeful activity with the goal to maintain and improve the state of an environmental resource affected by human activities. ...
C. Pahl-Wostl
NN
2008
Springer
152views Neural Networks» more  NN 2008»
15 years 6 months ago
Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge
We organized a challenge for IJCNN 2007 to assess the added value of prior domain knowledge in machine learning. Most commercial data mining programs accept data pre-formatted in ...
Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin C...
GEOINFORMATICA
2007
111views more  GEOINFORMATICA 2007»
15 years 6 months ago
LiDAR-Derived High Quality Ground Control Information and DEM for Image Orthorectification
Orthophotos (or orthoimages if in digital form) have long been recognised as a supplement or alternative to standard maps. The increasing applications of orthoimages require effor...
Xiaoye Liu, Zhenyu Zhang, Jim Peterson, Shobhit Ch...
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