[UAI] research position on deep learning for video processing
Dear Colleagues, Could you please forward this message to those who might be interested in a postdoc position in Milton Keynes (UK) in collaboration with industry? The position is described here https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jobs.ac.uk%2Fjob%2FDEP606%2Fresearch-associate-deep-learning&data=05%7C02%7Cuai%40ENGR.ORST.EDU%7C2cc76fbc737c4f0663c008dc00e488b0%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638386229687152140%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C41000%7C%7C%7C&sdata=A2fxZ4LbVhb%2BmxCX2DwNSYrUD%2FT1hEOFRALup%2Br3FOk%3D&reserved=0 and it is funded as a Knowledge Transfer Partnership that allows researchers with a PhD to engage in research with industry. The company has plenty of appropriate data, and we will use it to train deep neural networks to address the practical business needs and to publish research papers. I will add that individuals of any nationality are encouraged to apply. Best wishes, Marek ___ uai mailing list uai@engr.orst.edu https://it.engineering.oregonstate.edu/mailman/listinfo/uai
[UAI] PhD position on POMDPs for tutoring systems
I have a fully funded PhD position on the application of sequential decision making (POMDPs, reinforcement learning, etc.) and probabilistic reasoning (HMMs, dynamic Bayesian networks, etc.) to intelligent tutoring systems with a focus on teaching Java. Our school maintains two solid platforms for teaching Java that generate huge amounts of data. The use of these data could be an interesting element of this project. The details are here http://www.cs.kent.ac.uk/research/studyingforaphd/phd-grzes.html Individuals interested in POMDPs and their applications could benefit from my collaboration with the University of Waterloo in Canada. Please forward this email to anyone who might be interested. The non-EU/UK applicants will need to demonstrate that they can cover the difference between international and home fees. The position is fully funded for the EU/UK students. Cheers, Marek -- Marek Grzes - School of Computing University of Kent Canterbury, CT2 7NZ United Kingdom - Web: http://www.cs.kent.ac.uk/people/staff/mg483/ Office: S128C Tel: +44 (0)1227 823629 Fax: +44 (0)1227 762811 ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] PhD Available: Predicting Recovery from Stroke with Machine Learning
Professor Howard Bowman (University of Kent and University of Birmingham) is looking to take on a PhD student to work on interpretable machine learning applied to data acquired from stroke patients (https://www.ucl.ac.uk/ploras/). This work will be with Professor Cathy Price (Welcome Centre for Human Neuroimaging, UCL), whose (PLORAS) team has collected one of the largest data sets of stroke patients (greater than 1,000), including structural MRI scans, behaviour and demographics. A key focus of Cathy Price’s work is to predict the recovery trajectory of stroke patients from their structural MRI scans, particularly patients with language deficits (i.e. that are aphasic). Progress has been made on this using traditional and now deep learning methods. Critical to clinical uptake of machine learning in this area is the ability to interpret the predictions it provides in a fashion that can be communicated to clinicians, patients and carers. We seek to appoint a PhD student to work on this topic, using methods such as neural-symbolic techniques. The student will be located in the School of Computing at the University of Kent, but will regularly visit and work closely with Cathy Price’s team at the Welcome Centre for Human Neuroimaging. Expertise in machine learning will be provided by Dr Thomas Hope (Welcome Centre for Human Neuroimaging, UCL) and Dr Marek Grzes (School of Computing, University of Kent). The PhD being advertised will be one of a tranche of scholarships available in the School of Computing at the University of Kent at Canterbury. These will be competitively allocated across a range of topics. To be eligible for these scholarships, please contact Howard Bowman (h.bow...@kent.ac.uk) before 31st March 2019. Relevant articles: Besold, T. R., Garcez, A. D. A., Bader, S., Bowman, H., Domingos, P., Hitzler, P., ... & de Penning, L. (2017). Neural-symbolic learning and reasoning: A survey and interpretation. arXiv preprint arXiv:1711.03902. Hope, T. M., Seghier, M. L., Leff, A. P., & Price, C. J. (2013). Predicting outcome and recovery after stroke with lesions extracted from MRI images. NeuroImage: clinical, 2, 424-433. Seghier, M. L., Patel, E., Prejawa, S., Ramsden, S., Selmer, A., Lim, L., ... & Price, C.J. (2016). The PLORAS database: a data repository for predicting language outcome and recovery after stroke. Neuroimage, 124, 1208-1212. ___ uai mailing list uai@ENGR.ORST.EDU https://secure.engr.oregonstate.edu/mailman/listinfo/uai
[UAI] CFP ALA 2010 workshop on Adaptive and Learning Agents @ AAMAS'10
We apologize if you receive more than one copy. Paper deadline: FEBRUARY 2, 2010 * The workshop with a long and successful history now in its 10th edition * ACM proceedings format with up to 8 pages * Special issue of the Advances in Complex Systems (ACS) journal after the workshop *** 1st Call for Papers ALA 2010: Adaptive and Learning Agents Workshop at AAMAS 2010 The ALA workshop has a long and successful history and is now in its 10th edition. The workshop is a merger of European ALAMAS and the American ALAg series which is usually held at AAMAS. Details may be found at the workshop web site: http://www.cs.york.ac.uk/~grzes/ala10/ *** * Submission Deadline: February 2, 2010 (tentative) * Notification of acceptance: March 2, 2010 (tentative) * Camera-ready copies: March 15, 2010 (tentative) *** Adaptive and Learning Agents, particularly those in a multiagent setting are becoming more and more prominent as the sheer size and complexity of many real world systems grows. How to adaptively control, coordinate and optimize such systems is an emerging multi-disciplinary research area at the intersection of Computer Science, Control theory, Economics, and Biology. The ALA workshop will focus on agent and multiagent systems which employ learning or adaptation. The goal of this workshop is to increase awareness and interest in adaptive agent research, encourage collaboration and give a representative overview of current research in the area of adaptive and learning agents and multiagent systems. It aims at bringing together not only scientists from different areas of computer science but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design). This workshop will focus on all aspects of adaptive and learning agents and multiagent systems with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. The topics of interest include but are not limited to: * Novel combinations of reinforcement and supervised learning approaches * Integrated learning approaches that work with other agent reasoning modules like negotiation, trust models, coordination, etc. * Supervised multiagent learning * Reinforcement learning (single and multiagent) * Planning (single and multiagent) * Reasoning (single and multiagent) * Distributed learning * Adaptation and learning in dynamic environments * Evolution of agents in complex environments * Co-evolution of agents in a multiagent setting * Cooperative exploration and learning to cooperate and collaborate * Learning trust and reputation * Communication restrictions and their impact on multiagent coordination * Design of reward structure and fitness measures for coordination * Scaling learning techniques to large systems of learning and adaptive agents * Emergent behaviour in adaptive multiagent systems * Game theoretical analysis of adaptive multiagent systems * Neuro-control in multiagent systems * Bio-inspired multiagent systems * Applications of adaptive and learning agents and multiagent systems to real world complex systems * Learning of Co-ordination Papers in the workshop that focus on multiagent approaches are eligible to be extended for inclusion in a special issue of the Advances in Complex Systems (ACS) journal. A review cycle is scheduled for summer 2010, details will be given on the workshop site. Only papers presented at the workshop are eligible for inclusion in the special issue. *** Submission Details Paper submissions may be emailed in the pdf format to gr...@cs.york.ac.uk with the subject Submission ALA-10. Submissions may be up to 8 pages in the ACM proceedings format (i.e., the same as AAMAS papers in the main conference track). Accepted work will be allocated time for oral presentation during the one day workshop. *** Organization Workshop chairs: Marek Grzes (University of York, UK) Matthew Taylor (University of Southern California, USA) If you have any questions about the ALA workshop, please contact the chairs by e-mail: gr...@cs.york.ac.uk Senior Steering Committee Members: Franziska Klügl (University of Orebro, Sweden) Daniel Kudenko (University of York, UK) Ann Nowé (Vrije Universiteit Brussels, Belgium) Lynne E. Parker (University of Tennessee, USA) Sandip Sen (University of Tulsa, USA) Peter Stone (University of Texas at Austin, USA) Kagan Tumer (Oregon State University, USA) Karl Tuyls (Maastricht University, The Netherlands
[UAI] 2nd CFP ALA 2010 workshop on Adaptive and Learning Agents @ AAMAS'10
We apologize if you receive more than one copy. Paper deadline: FEBRUARY 2, 2010 * The workshop with a long and successful history now in its 10th edition * ACM proceedings format with up to 8 pages * Special issue of the Advances in Complex Systems (ACS) journal after the workshop *** 2nd Call for Papers ALA 2010: Adaptive and Learning Agents Workshop at AAMAS 2010 The ALA workshop has a long and successful history and is now in its 10th edition. The workshop is a merger of European ALAMAS and the American ALAg series which is usually held at AAMAS. Details may be found at the workshop web site: http://www.cs.york.ac.uk/~grzes/ala10/ *** * Submission Deadline: February 2, 2010 * Notification of acceptance: March 2, 2010 * Camera-ready copies: March 15, 2010 *** Adaptive and Learning Agents, particularly those in a multiagent setting are becoming more and more prominent as the sheer size and complexity of many real world systems grows. How to adaptively control, coordinate and optimize such systems is an emerging multi-disciplinary research area at the intersection of Computer Science, Control theory, Economics, and Biology. The ALA workshop will focus on agent and multiagent systems which employ learning or adaptation. The goal of this workshop is to increase awareness and interest in adaptive agent research, encourage collaboration and give a representative overview of current research in the area of adaptive and learning agents and multiagent systems. It aims at bringing together not only scientists from different areas of computer science but also from different fields studying similar concepts (e.g., game theory, bio-inspired control, mechanism design). This workshop will focus on all aspects of adaptive and learning agents and multiagent systems with a particular emphasis on how to modify established learning techniques and/or create new learning paradigms to address the many challenges presented by complex real-world problems. The topics of interest include but are not limited to: * Novel combinations of reinforcement and supervised learning approaches * Integrated learning approaches that work with other agent reasoning modules like negotiation, trust models, coordination, etc. * Supervised multiagent learning * Reinforcement learning (single and multiagent) * Planning (single and multiagent) * Reasoning (single and multiagent) * Distributed learning * Adaptation and learning in dynamic environments * Evolution of agents in complex environments * Co-evolution of agents in a multiagent setting * Cooperative exploration and learning to cooperate and collaborate * Learning trust and reputation * Communication restrictions and their impact on multiagent coordination * Design of reward structure and fitness measures for coordination * Scaling learning techniques to large systems of learning and adaptive agents * Emergent behaviour in adaptive multiagent systems * Game theoretical analysis of adaptive multiagent systems * Neuro-control in multiagent systems * Bio-inspired multiagent systems * Applications of adaptive and learning agents and multiagent systems to real world complex systems * Learning of Co-ordination Papers in the workshop that focus on multiagent approaches are eligible to be extended for inclusion in a special issue of the Advances in Complex Systems (ACS) journal. A review cycle is scheduled for summer 2010, details will be given on the workshop site. Only papers presented at the workshop are eligible for inclusion in the special issue. *** Submission Details Paper submissions may be emailed in the pdf format to gr...@cs.york.ac.uk with the subject Submission ALA-10. Submissions may be up to 8 pages in the ACM proceedings format (i.e., the same as AAMAS papers in the main conference track). Accepted work will be allocated time for oral presentation during the one day workshop. *** Organization Workshop chairs: Marek Grzes (University of York, UK) Matthew Taylor (University of Southern California, USA) If you have any questions about the ALA workshop, please contact the chairs by e-mail: gr...@cs.york.ac.uk Senior Steering Committee Members: Franziska Klügl (University of Orebro, Sweden) Daniel Kudenko (University of York, UK) Ann Nowé (Vrije Universiteit Brussels, Belgium) Lynne E. Parker (University of Tennessee, USA) Sandip Sen (University of Tulsa, USA) Peter Stone (University of Texas at Austin, USA) Kagan Tumer (Oregon State University, USA) Karl Tuyls (Maastricht University, The Netherlands) *** ___ uai mailing list uai
