Results 21 to 30 of about 3,294,315 (307)
Statistical inference on representational geometries
eLife, 2023 Neuroscience has recently made much progress, expanding the complexity of both neural activity measurements and brain-computational models. However, we lack robust methods for connecting theory and experiment by evaluating our new big models with our new
Heiko H Schütt +3 more
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Journal of Forest Science, 2011 Adjacency constraints can be represented by Moore or Neumann neighbourhood adjacency, depending upon how candidate neighbours are assigned at corners adjacent to the target cell.
M. Konoshima, R. Marušák, A. Yoshimoto
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SICE Journal of Control, Measurement, and System Integration, 2017 Design methods of asymptotically stable adaptive consensus control of multi-agent systems composed of the first-order and the second-order regression models are presented based on inverse optimal control criterion.
Yoshihiko Miyasato
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Journal of Forest Science, 2011 We propose a spatial aggregation method to solve an optimal harvest scheduling problem for strip shelterwood management. Strip shelterwood management involves either a two-cut system with a preparatory-removal cut cycle, or a three-cut system with a ...
M. Konoshima, R. Marušák, A. Yoshimoto
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Distinguishing between statistical significance and practical/clinical meaningfulness using statistical inference. [PDF]
, 2014 Decisions about support for predictions of theories in light of data are made using statistical inference. The dominant approach in sport and exercise science is the Neyman-Pearson significance-testing approach.
Wilkinson, Mick
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Inverse Optimal Adaptive H8 Consensus Control of Multi-Agent Systems on Directed Network Graphs
SICE Journal of Control, Measurement, and System Integration, 2018 Design methods of inverse optimal adaptive H8 consensus control of multi-agent systems denoted by the first-order and the second-order regression models on directed network graphs are presented in this paper.
Yoshihiko Miyasato
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Statistical inference of acupoint specificity: forward and reverse inference
Integrative Medicine Research, 2020 Background: The acupoint specificity has been considered important issue in acupuncture research. In clinical aspects, it is essential to identify which acupoints are associated specifically with a particular disease.
Ye-Chae Hwang +4 more
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Statistical inference based on k-records [PDF]
Iranian Journal of Numerical Analysis and Optimization, 2008 In this paper, an extension of record models, well known as k-records, is considered. Bayesian estimation as well as prediction based on k-records are presented when the underlying distribution is assumed to have a general form. The proposed procedure is
J. Ahmadi, M. Doostparast
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Unsupervised inference approach to facial attractiveness [PDF]
PeerJ, 2020 The perception of facial attractiveness is a complex phenomenon which depends on how the observer perceives not only individual facial features, but also their mutual influence and interplay.
Miguel Ibanez-Berganza +5 more
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Statistical inference for multi-pathogen systems. [PDF]
PLoS Computational Biology, 2011 There is growing interest in understanding the nature and consequences of interactions among infectious agents. Pathogen interactions can be operational at different scales, either within a co-infected host or in host populations where they co-circulate,
Sourya Shrestha +2 more
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