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SGAI
2007
Springer
14 years 3 months ago
Evolving a Dynamic Predictive Coding Mechanism for Novelty Detection
Novelty detection is a machine learning technique which identifies new or unknown information in large data sets. We present our current work on the construction of a new novelty...
Simon J. Haggett, Dominique F. Chu, Ian W. Marshal...
BMCBI
2010
183views more  BMCBI 2010»
13 years 9 months ago
Active learning for human protein-protein interaction prediction
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...
Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Gan...
TSMC
2010
13 years 3 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...
ICPR
2008
IEEE
14 years 10 months ago
A matrix alignment approach for link prediction
This paper introduces a new discriminative learning technique for link prediction based on the matrix alignment approach. Our algorithm automatically determines the most predictiv...
Jerry Scripps, Pang-Ning Tan, Feilong Chen, Abdol-...
ICPR
2000
IEEE
14 years 10 months ago
Model Predictive Control to Improve Visual Control of Motion: Applications in Active Tracking of Moving Targets
This paper deals with active tracking of 3D moving targets. Visual tracking is presented as a regulation control problem. The performance and robustness in visual control of motio...
Helder Araújo, João P. Barreto, Jorg...