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GECCO
2007
Springer
154views Optimization» more  GECCO 2007»
15 years 10 months ago
A novel ab-initio genetic-based approach for protein folding prediction
In this paper, a model based on genetic algorithms for protein folding prediction is proposed. The most important features of the proposed approach are: i) Heuristic secondary str...
Sergio Raul Duarte Torres, David Camilo Becerra Ro...
BIBE
2006
IEEE
137views Bioinformatics» more  BIBE 2006»
15 years 10 months ago
Leveraging Chemical Background Knowledge for the Prediction of Growth Inhibition
We show how chemical background knowledge can be used to improve the prediction performance in structureactivitity relationships (SARs) for non-congeneric compounds. The goal of t...
Lothar Richter, Stefan Hechtl, Stefan Kramer
SIGIR
2006
ACM
15 years 10 months ago
A framework to predict the quality of answers with non-textual features
New types of document collections are being developed by various web services. The service providers keep track of non-textual features such as click counts. In this paper, we pre...
Jiwoon Jeon, W. Bruce Croft, Joon Ho Lee, Soyeon P...
COLCOM
2005
IEEE
15 years 9 months ago
Developing a framework for integrating prior problem solving and knowledge sharing histories of a group to predict future group
Using a combination of machine learning probabilistic tools, we have shown that some chemistry students fail to develop productive problem solving strategies through practice alon...
Ron Stevens, Amy Soller, Alessandra Giordani, Luca...
ATAL
2005
Springer
15 years 9 months ago
Predicting agent strategy mix of evolving populations
We study agent societies where self-interested agents interact repeatedly over extended time periods. In particular, we are interested in environments where agents can form mutual...
Sabyasachi Saha, Sandip Sen