Results 261 to 270 of about 950,595 (308)
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MATHEMATICAL INFERENCE AND LOGICAL INFERENCE

The Review of Symbolic Logic, 2018
AbstractThe deviation ofmathematical proof—proof in mathematical practice—from the ideal offormal proof—proof in formal logic—has led many philosophers of mathematics to reconsider the commonly accepted view according to which the notion of formal proof provides an accurate descriptive account of mathematical proof.
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Fuzzy inference and fuzzy inference processor

IEEE Micro, 1993
Fuzzy inference, a data processing method based on the fuzzy theory that has found wide use in the control field, is reviewed. Consumer electronics, which accounts for most current applications of this concept, does not require very high speeds. Although software running on a conventional microprocessor can perform these inferences, high-speed control ...
Kazuo Nakamura   +4 more
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Fuzzy Inference as a Generalization of the Bayesian Inference

Journal of Mathematical Sciences, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Koroteev, M. V.   +2 more
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Bayesian Inference

2012
This chapter provides an overview of the Bayesian approach to data analysis, modeling, and statistical decision making. The topics covered go from basic concepts and definitions (random variables, Bayes' rule, prior distributions) to various models of general use in biology (hierarchical models, in particular) and ways to calibrate and use them (MCMC ...
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Information for inference

2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2011
Wyner defined the notion of common information of two discrete random variables as the minimum of I(W; X, Y) where W induces conditional independence between X and Y. Its generalization to multiple dependent random variables revealed a surprising monotone property in the number of variables.
Ge Xu, Biao Chen 0001
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Visualizing Inference

Proceedings of the AAAI Conference on Artificial Intelligence, 2015
Graphical visualization has demonstrated enormous power in helping people to understand complexity in many branches of science. But, curiously, AI has been slow to pick up on the power of visualization. Alar is a visualization system intended to help people understand and control symbolic inference.
Henry Lieberman, Joe Henke
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Haplotype Inference

2012
The information carried by combination of alleles on the same chromosome, called haplotypes, is of crucial interest in several fields of modern genetics as population genetics or association studies. However, this information is usually lost by sequencing and needs, therefore, to be recovered by inference.
Olivier, Delaneau   +1 more
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Haplotype Inference

2017
Haplotypes, as they specify linkage patterns between individual nucleotide variants, confer critical information for understanding the genetics of human diseases. However, haplotype information is not directly obtainable from high-throughput genotyping platforms.
Sunah, Song, Xin, Li, Jing, Li
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Inferring causality

Journal of PeriAnesthesia Nursing, 1996
The goal of research is to discover new knowledge to improve patient care. Research is essential because of its ability to establish causal relationships. This article discusses the minimum requirements a research report must meet to establish a causal relationship.
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Analogical inference as generalised inductive inference

1989
Analogical inference and inductive inference are processes which achieve roughly the same end (the development of new knowledge) via rather different means. But what is the relationship between these two processes?
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