Abstract: In this letter, a novel synthesis algorithm is presented by using a probability density tapering approach in determining element distributions in a thinned array. The probability density ...

Abstract: The problem of learning a channel decoder is considered for two channel models. The first model is an additive noise channel whose noise distribution is unknown and nonparametric. The ...

Mathematical Modeling is One of the Most Valuable Skills. Mathematical modeling is often associated with academic research, ...

TensorFlow Probability is a library for probabilistic reasoning and statistical analysis in TensorFlow. As part of the TensorFlow ecosystem, TensorFlow Probability provides integration of ...

Objectives Diagnostic reasoning in systemic lupus erythematosus (SLE) is a complex process reflecting the probability of disease at a given timepoint against competing diagnoses. We applied machine ...

A clear analysis of how linguistic patterns impact norms, neologisms, and register, with practical examples and readability ...

Traditional betting involved a level of patience because one needed to study form and wait for 90 minutes until the result ...

Log-linear Poisson models provide a principled framework for modeling such count data through covariate-dependent intensity functions. This study develops a Bayesian formulation of the Poisson ...

As artificial intelligence increasingly automates basic programming, India's tech sector faces a critical talent transformation, shifting recruitment priorities away from pure coding toward core ...

2018 Usage Attribution-Noncommercial-Share Alike 3.0 Topics RES.6-012, RES.6, probability, probability models, bayes rule, discrete random variables, continuous random variables, bernoulli process, ...

David Gerbing from the School of Business at Portland State University introduces lessR, a tool designed to facilitate professional-quality data visualizations and data analysis without programming re ...

Naveen Rao's Unconventional AI raised $475M at a $4.5B valuation to build biology-inspired, energy-efficient chips for ...