Jonathan L. Shapiro, Ph.D.

Computer Science University of Manchester, Manchester, England, United Kingdom 
Machine Learning
"Jonathan Shapiro"

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)
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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
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