probabilistic inference

6 years, 11 months ago

The BioIngine.com – Deep Learning Comprehensive Statistical Framework – Descriptive to Probabilistic Inference

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  Given the challenge of analyzing against the large data sets both structured (EHR data) and unstructured data; the emerging Healthcare analytics are around below discussed methods d (multivariate regression), e (neural-net) and f (multivariate probabilistic inference); Ingine is unique in the Hyperbolic Dirac Net proposition for probabilistic inference. The basic premise in engineering The BioIngine.com™ is in acknowledging the […]

7 years, 3 months ago

Q-UEL Toolkit for Medical Decision Making :- Science of Uncertainty and Probabilities

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Quantum Universal Exchange Language Implicate order and explicate order are concepts coined by David Bohm to describe two different frameworks for understanding the same phenomenon or aspect of reality.He uses these notions to describe how the same phenomenon might look different, or might be characterized by different principal factors, in different contexts such as at different scales. Macro […]

7 years, 10 months ago

300 Years Plus of Crusade – Tryst in The Quest of Semantic Web and A.I driven Reasoning

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Chronology of Development of Hyperbolic Dirac Net (HDN) Inference.  https://en.wikipedia.org/wiki/Thomas_Bayes From Above Link:- 1. 1763. Thomas Bayes was an English statistician, philosopher and Presbyterian minister who is known for having formulated a specific case of the theorem that bears his name: Bayes’ theorem.  Bayes’s… Continue Reading →

10 years, 3 months ago

Quantitative Semantic Algebra – Dr. Barry Robson (RQSA)

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RQSA Theory – Develops algorithm for The QEXL Approach; overcoming limitations in gold standard Bayesian Network; while allowing for creation of generative models. Bayesian as such is an adaptive technique. (March 8 2013, Version March 10 2013) 1. INTRODUCTION 1.1. Purpose and Background. The following document describes principle features of a mathematical system of practical […]

10 years, 3 months ago

The QEXL Approach (Healthcare Biggest Data) – Universal Healthcare Interoperability based on Probabilistic Ontology

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Conquering Uncertainties Creating Infinite Possibilities (Possible application :- Achieving Algorithmic Driven ACO) Acknowledgements :- Dr. Barry Robson notes and conversation; including Effort of Quantal Semantics Inc. Introduction The QEXL Approach is a Systems Thinking driven technique that has been designed with the intension of developing “Go To Market” solutions for Healthcare Big Data applications requiring integration […]

10 years, 5 months ago

Big Data still in naivety proves Elusive to Big Picture and Randomness

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Big Data as it exists today is not necessarily a tool that creates the Big Picture. Most systems that exists today are designed based on predicated methods. These rely on known variables, the only constraint unknown are the values of the variables. Predicated system are constrained to create newer insight as they are bounded by […]