Non – Singular Criterion and Analytics of ∆± ATLAS: an Advanced Bayesian Model

EasyChair Preprint no. 8199

Abstract

Merger of two different ‘class’ yield a higher degree probability of ‘impacts’ – To be produced in further research; than otherwise – ‘class’ of unimodular structures i.e., ‘class’ with lesser degrees being transformed to the same order criterions in a ‘weighted’ way. This being established in converge -∆-: originating from the source concerned: Then emergent throughout in the separate case; being diverge - ∆+ with opposite orientation. Norming over variables – Classifiers are analyzed for each probability class.

Keyphrases: Bayesian inference, Bernoulli Samples, deg_h Parameters, ζ-Distribution:Strong, ζ-Distribution:Weak

@Booklet{EasyChair:8199,
  author = {Deep Bhattacharjee},
  title = {Non – Singular Criterion and Analytics of ∆± ATLAS: an Advanced Bayesian Model},
  howpublished = {EasyChair Preprint no. 8199},

  year = {EasyChair, 2022}}