An Optimal Policy for Target Localization with Application to Electron Microscopy
暂无分享,去创建一个
[1] Peter I. Frazier,et al. A Bayesian approach to stochastic root finding , 2011, Proceedings of the 2011 Winter Simulation Conference (WSC).
[2] Michael Horstein,et al. Sequential transmission using noiseless feedback , 1963, IEEE Trans. Inf. Theory.
[3] R. Nowak,et al. Generalized binary search , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.
[4] Onésimo Hernández-Lerma,et al. Controlled Markov Processes , 1965 .
[5] R. Nowak,et al. Active Sensing and Learning , 2011 .
[6] Burr Settles,et al. Active Learning Literature Survey , 2009 .
[7] Susan A. Murphy,et al. Monographs on statistics and applied probability , 1990 .
[8] Sanjoy Dasgupta,et al. A General Agnostic Active Learning Algorithm , 2007, ISAIM.
[9] Raphael Sznitman,et al. Active Testing for Face Detection and Localization , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[10] Sanmay Das,et al. Near-Optimal Target Learning With Stochastic Binary Signals , 2011, UAI.
[11] M. Degroot. Optimal Statistical Decisions , 1970 .
[12] Pascal Fua,et al. Efficient Scanning for EM Based Target Localization , 2012, MICCAI.
[13] Robert D. Nowak,et al. Faster Rates in Regression via Active Learning , 2005, NIPS.
[14] Peter Winkler,et al. On playing “Twenty Questions” with a liar , 1992, SODA '92.
[15] Twenty Questions with Noise: Bayes Optimal Policies for Entropy Loss , 2012, Journal of Applied Probability.
[16] Thomas M. Cover,et al. Elements of Information Theory , 2005 .
[17] Yi Zhang,et al. Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning , 2003, ICML.
[18] Ashok Veeraraghavan,et al. Increasing depth resolution of electron microscopy of neural circuits using sparse tomographic reconstruction , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[19] Peter I. Frazier,et al. Sequential Sampling with Economics of Selection Procedures , 2012, Manag. Sci..
[20] Robert D. Nowak,et al. Distilled Sensing: Adaptive Sampling for Sparse Detection and Estimation , 2010, IEEE Transactions on Information Theory.
[21] G. Barrie Wetherill,et al. Sequential methods in statistics , 1967 .
[22] Peter Winkler,et al. Three Thresholds for a Liar , 1992, Combinatorics, Probability and Computing.
[23] Avinatan Hassidim,et al. The Bayesian Learner is Optimal for Noisy Binary Search (and Pretty Good for Quantum as Well) , 2008, 2008 49th Annual IEEE Symposium on Foundations of Computer Science.
[24] Pascal Fua,et al. Supervoxel-Based Segmentation of Mitochondria in EM Image Stacks With Learned Shape Features , 2012, IEEE Transactions on Medical Imaging.
[25] Andreas Krause,et al. Information-Theoretic Regret Bounds for Gaussian Process Optimization in the Bandit Setting , 2009, IEEE Transactions on Information Theory.
[26] P. W. Jones,et al. Bandit Problems, Sequential Allocation of Experiments , 1987 .
[27] Nando de Freitas,et al. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning , 2010, ArXiv.