CLRC Research Grants
Funding Body |
Project Title |
Value |
| EU | Symbolic Data Analysis (SODAS) (1996 - 1999) | £156,000 |
| IFR Ltd (formerly Marconi Instruments) | Leaning Algorithms for Fault Diagnosis (1996 - 2000) | £43,410 |
| EPSRC | Support Vector and Bayesian Leaning Algorithms: Analysis and Applications (1997 - 2000) | £142,360 |
| EPSRC | Predictive Complexity: Recursion-Theoretic Variants (1998 - 2001) | £50,922 |
| EPSRC | Comparison of the Support Vector Machine and Minimum Message Length Methods for Induction and Prediction (1999-2002) | £132,787 |
| EU | NeuroColt2 - Neural and Computational Learning (1998 - 2001) | €260,000 |
| EPSRC | Kernel Methods for Sequences and Sentences (1999 - 2002) | £50,590 |
| EPSRC | Analysis and Design of Kernel-based Learning Systems (2000 - 2003) | £160,573 |
| EU | EUREDIT - The Development and Evaluation of New Methods for Editing and Imputation (2000 - 2002) | €88,385 |
| BBSRC | Pattern recognition techniques for gene and promoter identification and classification in plant genomic sequences (2001 - 2004) | £150,648 |
| EU | KerMIT - Kernel Methods for Images and Text (2001-2004) | €518,099 |
| EPSRC | Complexity Approximation Principle and Predictive Complexity: Analysis and Applications (2001 - 2004) | £142,996 |
| Microsoft Research Ltd. | Optimisation Methods for Machine Learning Problems (2003-2006) | £90,000 |
| EU Marie Curie Fellowship | Efficient and effective machine learning methods for complex biological networks (2003-2005) | €107,072 |
| Royal Society | Efficient Randomness Testing of Random and Pseudorandom Number Generators (2003-2005) | £7,800 |
| EU | Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL) (2004 - 2008) | €19,071 |
| MRC | Proteomic analysis of the Human Serum Proteome for Population Screening, Diagnosis and Biomarker Discovery (2005-2008) | £959,954 |
Last updated
Wed, 17-Jun-2009 15:57
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Department of Computer Science,
University of London,
Egham,
Surrey TW20 0EX
Tel/Fax : +44 (0)1784 443421 /439786
Tel/Fax : +44 (0)1784 443421 /439786