An Information and Control Framework for Optimizing User-Compliant Human–Computer Interfaces
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Todd P. Coleman | Sanggyun Kim | Rui Ma | Vidya Manian | Justin Tantiongloc | Diego A. Mesa | Cristian H. Alzate | Jaime J. Camacho
[1] Ian H. Witten,et al. Arithmetic coding for data compression , 1987, CACM.
[2] Alfred O. Hero,et al. Collaborative 20 Questions for Target Localization , 2013, IEEE Transactions on Information Theory.
[3] Rui Ma,et al. Generalizing the Posterior Matching Scheme to higher dimensions via optimal transportation , 2011, 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton).
[4] Rui Ma,et al. A Stochastic Control Approach to Optimally Designing Hierarchical Flash Sets in P300 Communication Prostheses , 2012, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[5] Manuela M. Veloso,et al. Complementary humanoid behavior shaping using corrective demonstration , 2010, 2010 10th IEEE-RAS International Conference on Humanoid Robots.
[6] Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss , 2012, Journal of Applied Probability.
[7] Todd P. Coleman,et al. Information-Theoretic Viewpoints on Optimal Causal Coding-Decoding Problems , 2011, ArXiv.
[8] Javier Ruiz-del-Solar,et al. Interactive Learning of Continuous Actions from Corrective Advice Communicated by Humans , 2015, RoboCup.
[9] Jean C. Walrand,et al. Optimal causal coding - decoding problems , 1983, IEEE Trans. Inf. Theory.
[10] Lei Ding,et al. Motor imagery classification by means of source analysis for brain–computer interface applications , 2004, Journal of neural engineering.
[11] Yu-Chi Ho,et al. Team decision theory and information structures , 1980 .
[12] Clemens Brunner,et al. Mu rhythm (de)synchronization and EEG single-trial classification of different motor imagery tasks , 2006, NeuroImage.
[13] Todd P. Coleman,et al. A stochastic control viewpoint on ‘Posterior Matching’-style feedback communication schemes , 2009, 2009 IEEE International Symposium on Information Theory.
[14] Michael Horstein,et al. Sequential transmission using noiseless feedback , 1963, IEEE Trans. Inf. Theory.
[15] Abdullah Akce,et al. A Feedback Information-Theoretic Approach to the Design of Brain–Computer Interfaces , 2010, Int. J. Hum. Comput. Interact..
[16] Todd P. Coleman,et al. An Optimizer's Approach to Stochastic Control Problems With Nonclassical Information Structures , 2013, IEEE Transactions on Automatic Control.
[17] P. Stone,et al. TAMER: Training an Agent Manually via Evaluative Reinforcement , 2008, 2008 7th IEEE International Conference on Development and Learning.
[18] Meir Feder,et al. Optimal Feedback Communication Via Posterior Matching , 2009, IEEE Transactions on Information Theory.
[19] TaeChoong Chung,et al. Learning via human feedback in continuous state and action spaces , 2013, Applied Intelligence.
[20] Rui Ma,et al. Efficient Bayesian inference methods via convex optimization and optimal transport , 2013, 2013 IEEE International Symposium on Information Theory.
[21] Tamer Basar,et al. Simultaneous design of measurement and control strategies for stochastic systems with feedback , 1989, Autom..
[22] Rui Ma,et al. An analytic spatial filter and a hidden Markov model for enhanced information transfer rate in EEG-based brain computer interfaces , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.
[23] Todd P. Coleman,et al. Dynamic and Succinct Statistical Analysis of Neuroscience Data , 2014, Proceedings of the IEEE.
[24] G Pfurtscheller,et al. Separability of EEG signals recorded during right and left motor imagery using adaptive autoregressive parameters. , 1998, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.