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CIKM
2006
Springer
15 years 10 months ago
A probabilistic relevance propagation model for hypertext retrieval
A major challenge in developing models for hypertext retrieval is to effectively combine content information with the link structure available in hypertext collections. Although s...
Azadeh Shakery, ChengXiang Zhai
BMCBI
2010
156views more  BMCBI 2010»
15 years 7 months ago
Mathematical model for empirically optimizing large scale production of soluble protein domains
Background: Efficient dissection of large proteins into their structural domains is critical for high throughput proteome analysis. So far, no study has focused on mathematically ...
Eisuke Chikayama, Atsushi Kurotani, Takanori Tanak...
NN
2008
Springer
143views Neural Networks» more  NN 2008»
15 years 6 months ago
A batch ensemble approach to active learning with model selection
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
JKM
2007
88views more  JKM 2007»
15 years 6 months ago
The concept of knowledge in KM: a dimensional model
Purpose: To sharpen the concepts of tacit, implicit and explicit knowledge by linking them to findings from cognitive psychology and memory science and thus finding a possibility ...
Bertolt Meyer, Kozo Sugiyama
QEST
2010
IEEE
15 years 4 months ago
Automatic Compositional Reasoning for Probabilistic Model Checking of Hardware Designs
Adaptive techniques like voltage and frequency scaling, process variations and the randomness of input data contribute signi cantly to the statistical aspect of contemporary hardwa...
Jayanand Asok Kumar, Shobha Vasudevan