Results 1 to 10 of about 931,895 (310)

Statistical inference on representational geometries [PDF]

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, Alexander D Kipnis, Jörn Diedrichsen, Nikolaus Kriegeskorte   +3 more
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The renormalization group via statistical inference [PDF]

New Journal of Physics, 2015
In physics, one attempts to infer the rules governing a system given only the results of imperfect measurements. Hence, microscopic theories may be effectively indistinguishable experimentally.
Cédric Bény, Tobias J Osborne
doaj   +4 more sources

Some clarifications regarding statistical inference [PDF]

Acta Obstetricia et Gynecologica Scandinavica, 2022
Andrew V. Frane
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Meta-analysis Using Flexible Random-effects Distribution Models

Journal of Epidemiology, 2022
Background: In meta-analysis, the normal distribution assumption has been adopted in most systematic reviews of random-effects distribution models due to its computational and conceptual simplicity.
Hisashi Noma, Kengo Nagashima, Shogo Kato, Satoshi Teramukai, Toshi A. Furukawa   +4 more
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An analysis of hot‐started ADMM for linear MPC

IET Control Theory & Applications, 2021
A convergence analysis of the alternating direction method of multipliers (ADMM) for linear model predictive control (MPC) problems with regularization terms is addressed here.
Mitsuru Toyoda, Mirai Tanaka
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adabmDCA: adaptive Boltzmann machine learning for biological sequences

BMC Bioinformatics, 2021
Background Boltzmann machines are energy-based models that have been shown to provide an accurate statistical description of domains of evolutionary-related protein and RNA families.
Anna Paola Muntoni, Andrea Pagnani, Martin Weigt, Francesco Zamponi   +3 more
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Spatio-temporal categorization for first-person-view videos using a convolutional variational autoencoder and Gaussian processes

Frontiers in Robotics and AI, 2022
In this study, HcVGH, a method that learns spatio-temporal categories by segmenting first-person-view (FPV) videos captured by mobile robots, is proposed.
Masatoshi Nagano, Tomoaki Nakamura, Takayuki Nagai, Takayuki Nagai, Daichi Mochihashi, Ichiro Kobayashi   +5 more
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Continuous Reproducibility in GNSS Signal Processing

IEEE Access, 2018
This paper discusses the reproducibility of scientific experiments in which global navigation satellite system (GNSS) signals play a role. After analyzing the factors that impact the reproducibility of an experiment in the given context, this paper ...
Carles Fernandez-Prades, Jordi Vila-Valls, Javier Arribas, Antonio Ramos   +3 more
doaj   +1 more source

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, Ambra Amico, Gian Luca Lancia, Federico Maggiore, Bernardo Monechi, Vittorio Loreto   +5 more
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Spatially constrained harvest scheduling for strip allocation under Moore and Neumann neighbourhood adjacency

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
doaj   +1 more source