| EPSRC Reference: |
GR/S83104/01 |
| Title: |
Interactive Learning for Intelligent Signal Processing, Communications, and Networking |
| Principal Investigator: |
De Wilde, Professor P |
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| Department: |
Electrical and Electronic Engineering |
| Organisation: |
Imperial College London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
09 March 2004 |
Ends: |
08 January 2005 |
Value (£): |
15,285
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Summary on Grant Application Form |
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We will examine different learning algorithms and nonparametric methods to solve a variety of information technology related problems from physical layer communication problems to finding algorithms for networking tomography to applying information technology to biomedical applications. Solutions will take into account that we may have limited information about data and the systems we want to study (information may also be contaminated with noise). Because of the limited information, we must often employ nontraditional adaptive learning methodologies when finding solutions to problems. Traditional methods such as maximum likelihood methods may not work as we do not have parametric models and / or traditional methods are computationally inefficient.The project focuses on three areas. The first area discusses kernel methods and development of supervised and unsupervised learning algorithms. We look into communications and sensing applications of the kernel algorithms. Our focus is on the analysis, implementation, and application of the least-squares Support Vector Machine (LS-SVM). The second area examines reinforcement or approximate dynamic learning algorithms. We study applications of these algorithms to computer networking problems and sensor fusion problems. The last area examines using machine learning tools and adaptive learning systems for multimedia applications ranging from image processing to networking tomography to processing information insensor networks. This is a growing area of research as both commercial and military users create more stringent demands for efficient and quick processing of data. More sophisticated tools are needed to understand networking traffic and process multimedia information.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.imperial.ac.uk |