Results 41 to 50 of about 2,253,559 (287)
AB9: A neural processor for inference acceleration
ETRI Journal, 2020 We present AB9, a neural processor for inference acceleration. AB9 consists of a systolic tensor core (STC) neural network accelerator designed to accelerate artificial intelligence applications by exploiting the data reuse and parallelism ...
Yong Cheol Peter Cho +10 more
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MRBAYES: Bayesian inference of phylogenetic trees
Bioinform., 2001 SUMMARY The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo. AVAILABILITY MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms ...
J. Huelsenbeck, F. Ronquist
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Estimation and Inference in an Ecological Inference Model [PDF]
SSRN Electronic Journal, 2016 AbstractWe interpret an ecological inference model as a treatment effects model in which the outcomes of interest and the conditional covariates come from separate datasets. In this setting, the counterfactual distributions and policy parameters of interest are only partially identified under a selection on observables assumption.
Fan, Yanqin +2 more
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MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space
Systematic Biology, 2012 Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest
F. Ronquist +9 more
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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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Australasian Journal of Philosophy, 2013 It is often claimed that principles of individuation imply essential properties of the things individuated. For example, sets are individuated by their members, hence sets have their members essentially. But how does this inference work? First I discuss the form of such inferences, and conclude that the essentialist inference is not a purely formal ...
Mulder, Jesse M.
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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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How do medical researchers make causal inferences? [PDF]
, 2019 Bradford Hill (1965) highlighted nine aspects of the complex evidential situation a medical researcher faces when determining whether a causal relation exists between a disease and various conditions associated with it.
Dammann, Olaf +2 more
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A modern method of multiple working hypotheses to improve inference in ecology [PDF]
Royal Society Open Science, 2020 Science provides a method to learn about the relationships between observed patterns and the processes that generate them. However, inference can be confounded when an observed pattern cannot be clearly and wholly attributed to a hypothesized process ...
Scott W. Yanco +4 more
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Model selection and multimodel inference : a practical information-theoretic approach
, 2003 The second edition of this book is unique in that it focuses on methods for making formal statistical inference from all the models in an a priori set (Multi-Model Inference). A philosophy is presented for model-based data analysis and a general strategy
K. Burnham, David R. Anderson
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