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ITBAM
2010
13 years 6 months ago
A Comorbidity Network Approach to Predict Disease Risk
A prediction model that exploits the past medical patient history to determine the risk of individuals to develop future diseases is proposed. The model is generated by using the s...
Francesco Folino, Clara Pizzuti, Maria Ventura
TSMC
2010
13 years 2 months ago
Interaction Modeling and Prediction in Smart Spaces: A Bio-Inspired Approach Based on Autobiographical Memory
In Smart Spaces (SSs), the capability of learning from experience is fundamental for autonomous adaptation to environmental changes and for proactive interaction with users. New re...
Alessio Dore, Andrea F. Cattoni, Carlo S. Regazzon...
ICML
2007
IEEE
14 years 8 months ago
Exponentiated gradient algorithms for log-linear structured prediction
Conditional log-linear models are a commonly used method for structured prediction. Efficient learning of parameters in these models is therefore an important problem. This paper ...
Amir Globerson, Terry Koo, Xavier Carreras, Michae...
ICML
2008
IEEE
14 years 8 months ago
Predicting diverse subsets using structural SVMs
In many retrieval tasks, one important goal involves retrieving a diverse set of results (e.g., documents covering a wide range of topics for a search query). First of all, this r...
Yisong Yue, Thorsten Joachims
WABI
2010
Springer
128views Bioinformatics» more  WABI 2010»
13 years 6 months ago
Sparsification of RNA Structure Prediction Including Pseudoknots
Background: Although many RNA molecules contain pseudoknots, computational prediction of pseudoknotted RNA structure is still in its infancy due to high running time and space con...
Mathias Möhl, Raheleh Salari, Sebastian Will,...