Results 1 to 10 of about 822,192 (311)
Direct Sampling Method for Diffusive Optical Tomography [PDF]
SIAM Journal of Scientific Computing, 2015 In this work, we are concerned with the diffusive optical tomography (DOT) problem in the case when only one or two pairs of Cauchy data is available. We propose a simple and efficient direct sampling method (DSM) to locate inhomogeneities inside a homogeneous background and solve the DOT problem in both full and limited aperture cases. This new method
Yat TIN Chow, Kazufumi Itô, Keji Liu
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Optimistic Information Directed Sampling
CoRR, 2023 We study the problem of online learning in contextual bandit problems where the loss function is assumed to belong to a known parametric function class. We propose a new analytic framework for this setting that bridges the Bayesian theory of information-directed sampling due to Russo and Van Roy (2018) and the worst-case theory of Foster, Kakade, Qian,
Neu G., Papini M., Schwartz L.
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Contextual Information-Directed Sampling
CoRR, 2022 Information-directed sampling (IDS) has recently demonstrated its potential as a data-efficient reinforcement learning algorithm. However, it is still unclear what is the right form of information ratio to optimize when contextual information is available.
Botao Hao, Tor Lattimore, Chao Qin
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Concurrent Multiband Direct RF Sampling Receivers
IEEE Transactions on Wireless Communications, 2023 Stephen Henthorn +2 more
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Sampling properties of directed networks [PDF]
Physical Review E, 2012 For many real-world networks only a small "sampled" version of the original network may be investigated; those results are then used to draw conclusions about the actual system. Variants of breadth-first search (BFS) sampling, which are based on epidemic processes, are widely used. Although it is well established that BFS sampling fails, in most cases,
Seung-Woo Son 0003 +5 more
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Direct sampling with a step function
Statistics and Computing, 2022 The direct sampling method proposed by Walker et al. (JCGS 2011) can generate draws from weighted distributions possibly having intractable normalizing constants. The method may be of interest as a useful tool in situations which require drawing from an unfamiliar distribution. However, the original algorithm can have difficulty producing draws in some
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Convergence of Adaptive Direction Sampling
Journal of Multivariate Analysis, 1994 We investigate a method of dynamically choosing directions in which to sample, known as adaptive direction sampling (ADS), concentrating here on the convergence properties of the algorithm with an emphasis on a number of important special cases. Recent advances in sampling from one- dimensional distributions have made algorithms with wider choices of ...
Roberts, G.O., Gilks, W.R.
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A Direct Sampling Method for the Inversion of the Radon Transform [PDF]
SIAM Journal on Imaging Sciences, 2021 We propose a novel direct sampling method (DSM) for the effective and stable inversion of the Radon transform. The DSM is based on a generalization of the important almost orthogonality property in classical DSMs to fractional order Sobolev duality products and to a new family of probing functions. The fractional order duality product proves to be able
Yat Tin Chow, Fuqun Han, Jun Zou 0003
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Trajectory sampling for direct traffic observation [PDF]
IEEE/ACM Transactions on Networking, 2000 Traffic measurement is a critical component for the control and engineering of communication networks. We argue that traffic measurement should make it possible to obtain the spatial flow of traffic through the domain, i.e., the paths followed by packets between any ingress and egress point of the domain.
Nick G. Duffield, Matthias Grossglauser
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DIRECTED FORGETTING OF ELEMENTS IN COMPOUND SAMPLES [PDF]
Journal of the Experimental Analysis of Behavior, 1992 Pigeons were trained in a delayed matching‐to‐sample procedure in which the sample stimuli consisted of a compound of color (red or green) and spatial location (left or right). A postsample cue (houselight on or off) signaled whether color matching or location matching would be required following the delay. In Experiment 1, the reduction in performance
M, Jitsumori, J, Taneya, J, Kikawa
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