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A Statistical Approach to Estimate Severe Accident Vehicle Collision Probability Inside a Multi-lane Road Tunnel with Unidirectional Traffic Flow
Dynamic risk estimation of the tunnel is an important aspect of tunnel safety. Severe accident collision probability is an important parameter in the...
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Using Artificial Neural Networks to Estimate the Probability of Information Security Threat Occurrences
AbstractThis article defines the possibility of using artificial neural networks for evaluating the probability of information safety threat...
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Probability Distributions
Several families of probability distributions arise repeatedly in various machine learning settings. We refer to these probability distributions as...
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Fuzzy Probability Theory
In this chapter we look more closely at the fuzzy binomial distribution, the fuzzy Poisson, and at the fuzzy normal,exponential and uniform...
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Reconstructing Probability Distributions from Data
Machine learning applications often assume that the observed data is sampled from probability distributions. How can these probability distributions...
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Probabilistic Approach to Estimate the Cyber Resistance of Mobile Networks Based on Their Connectivity
AbstractIn the paper, we propose an approach to estimate the cyber resilience of mobile networks based on an estimate of the probability that the...
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Soft Probability and Entropy
This chapter extends classical probability theory using Soft logic. To do so, we start from a fundamental distinction in continuous probability...
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Probability Spaces
Probability theory is the basis for statistics. This is what we deal with in this chapter. At the end of it...
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Probability cost function based weighted extreme learning machine
Standard extreme learning machine has good generalization performance and fast learning speed, but has the disadvantage of degrading performance for...
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Introduction to Probability Theory
Probability is a way of expressing the likelihood of a particular event occurring, and we discuss discrete random variables; probability...
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Probability Distributions Using PyTorch
Probability and random variables are an integral part of computation in a graph-computing platform like PyTorch. You must understanding probability...
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Bayesian optimization over the probability simplex
Gaussian Process based Bayesian Optimization is largely adopted for solving problems where the inputs are in Euclidean spaces. In this paper we...
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6G secure quantum communication: a success probability prediction model
The emergence of 6G networks initiates significant transformations in the communication technology landscape. Yet, the melding of quantum computing...
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Human Presence Probability Map (HPP): A Probability Propagation Based on Human Flow Grid
Personal assistance, delivery services, and crowd navigation through robots fleet are complex activities that involve human-robot interaction and...
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Statistics and Probability for Machine Learning
This chapter delves into the critical role of statistics and probability in machine learning, starting with an overview of random experiments and...
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Artificial Intelligence and Differential Privacy: Review of Protection Estimate Models
Differential Privacy (DP) can provide strong guarantees that personal information is not disclosed in data sets. This is ensured from mathematical,...
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Calculations of the “Best-Guess” Probability Distribution Using Shannon’s Measure of Information
Following the publication of Shannon’s article on “A Mathematical Theory of Communication” in 1948, Jaynes (1957), developed the so-called...
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Analysis of the Capacity Gain of Probability Sha** QAM
In this work we analyze and compare channel capacity for transmission schemes (for Quadrature Amplitude Modulation, QAM) with and without...
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Probability Theory
Statistics is a science that is concerned with principles, methods, and techniques for collecting, processing, analyzing, presenting, and...
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Softmin discrete minimax classifier for imbalanced classes and prior probability shifts
This paper proposes a new approach for dealing with imbalanced classes and prior probability shifts in supervised classification tasks. Coupled with...
