Abstract: Feature weighting is used to alleviate the conditional independence assumption of Naïive Bayes text classifiers and consequently improve their generalization performance. Most traditional ...

Every new piece of evidence reshapes what we thought we knew, and probability trees make that transformation visible. This is the quiet logic behind Bayesian reasoning, where certainty is never ...

Abstract: With the swift advancement of deep learning, significant strides have been made in polarimetric synthetic aperture radar (PolSAR) image classification, particularly with the advent of ...

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ADP (ADP), the payrolls processing firm that issues a monthly report on private sector employment, estimated that U.S. private sector employers added 14,250 jobs in the four weeks ended Oct. 11, 2025, ...

Operational Laws: Little's Law, response-time law, asymptotic bounds, modification analysis, performance metrics. Markov Chain Theory: both discrete-time and continuous-time, renewal theory, ...

Accurate and timely triage in emergency departments (ED) requires decision support that is robust to incomplete and heterogeneous data. This study proposes a knowledge-guided triage framework that ...

1. Relations and Functions Types of relations: reflexive, symmetric, transitive and equivalence relations. One to one and onto functions. 2. Inverse Trigonometric Functions Definition, range, domain, ...

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When is it appropriate to completely reinvent the wheel? To an outsider, that seems to happen a lot in category theory, and probability theory isn’t spared from this treatment. We’ve had a useful ...