Jonathan L. Shapiro, Ph.D.
Affiliations: | Computer Science | University of Manchester, Manchester, England, United Kingdom |
Area:
Machine LearningGoogle:
"Jonathan Shapiro"Bio:
I am a Reader in the School of Computer Science, where I teach and carry out research on machine learning, probabilistic modeling and evolutionary algorithms. I have particular interests in reinforcement learning and active learning for optimization. I am the head of the Machine Learning and Optimization Research Group in the School of Computer Science, Deputy Director of CICADA, an interdisciplinary project on hybrid systems spaning the schools of Computer Science, Control Engineering and Mathematics. I have previously been associated with the Santa Fe Institute, through their programs on Adaptive Computation and Evolutionary Dynamics and by directing their Complex Systems Summer School in 2003. Previously, I was a research theoretical physicist at the University of Manchester and the University of California, where I did research on condensed matter physics.
Mean distance: 16.29 (cluster 29)
Children
Sign in to add trainee| Jason G. Fleischer | grad student | 2000-2004 | The University of Manchester |
Publications
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| Shapiro J, Rashid S. (2011) Leadership in the NHS Bmj. 342 |
| Shapiro J. (2005) Markets in health care: taking a tiger by the tail? Australian Health Review : a Publication of the Australian Hospital Association. 29: 383-385 |
| Marsland S, Nehmzow U, Shapiro J. (2005) On-line novelty detection for autonomous mobile robots Robotics and Autonomous Systems. 51: 191-206 |
| Fleischer J, Marsland S, Shapiro J. (2003) Sensory Anticipation for Autonomous Selection of Robot Landmarks Lecture Notes in Computer Science. 201-221 |
| Marsland S, Shapiro J, Nehmzow U. (2002) A self-organising network that grows when required Neural Networks. 15: 1041-1058 |
| Shapiro J. (1998) The new NHS: commentaries on the white paper. Encouraging responsibility: different paths to accountability. Counting and accounting in the NHS. Bmj. 316: 296-297 |
| Hirsch S, Shapiro JL, Frank PI. (1997) Use of an artificial neural network in estimating prevalence and assessing underdiagnosis of asthma Neural Computing and Applications. 5: 124-128 |
| Ham C, Shapiro J. (1995) The future of fundholding Bmj. 310: 1150 |
| Burgess N, Shapiro JL, Moore MA. (1991) Neural network models of list learning Network: Computation in Neural Systems. 2: 399-422 |