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Cross-Chain Model of Notary Group Based on Verifiable Random Functions
In response to the issues of high centralization, slow transaction rates, and high security risks in the cross-chain mechanism of notary groups, this...
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Composable Oblivious Pseudo-random Functions via Garbled Circuits
Oblivious Pseudo-Random Functions (OPRFs) are a central tool for building modern protocols for authentication and distributed computation. For...
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Conclusive local interpretation rules for random forests
In critical situations involving discrimination, gender inequality, economic damage, and even the possibility of casualties, machine learning models...
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Functions
This chapter introduces the concept of functions, a cornerstone of computer programming, essential for code organization and reusability. Functions...
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Functions
This chapter investigates the essence of functions, an important concept in computer programming that significantly enhances code organization,...
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Functions
This chapter "demystifies" functions, a cornerstone of computer programming that enhances code organization and reusability. Functions are depicted...
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Convergence rate bounds for iterative random functions using one-shot coupling
One-shot coupling is a method of bounding the convergence rate between two copies of a Markov chain in total variation distance, which was first...
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Orand - A Fast, Publicly Verifiable, Scalable Decentralized Random Number Generator Based on Distributed Verifiable Random Functions
This paper introduces Orand, a fast, publicly verifiable, scalable decentralized random number generator designed for applications where public...
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Conditional Random Field
This chapter first introduces the probabilistic undirected graphical model, then describes the definition and various representations of Conditional...
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Global–local shrinkage multivariate logit-beta priors for multiple response-type data
Multiple-type outcomes are often encountered in many statistical applications, one may want to study the association between multiple responses and...
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Novel Initialization Functions for Metaheuristic-Based Online Virtual Network Embedding
Virtual network embedding (VNE) is the process of allocating resources in a substrate (i.e. physical) network to support virtual networks optimally....
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Dynamic random mutation hybrid Harris hawk optimization and its application to training kernel extreme learning machine
The Harris hawk Optimization (HHO) has the advantage of employing various local search strategies to adapt to different situations during the...
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Analyzing Brain Structural Connectivity as Continuous Random Functions
This work considers a continuous framework to characterize the population-level variability of structural connectivity. Our framework assumes the...
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A variational level set model combining with local Gaussian fitting and Markov random field regularization
To effectively and accurately segment images in the presence of intensity inhomogeneity and noise, a variational level set model based on maximum a...
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Node Classification in Random Trees
We propose a method for the classification of objects that are structured as random trees. Our aim is to model a distribution over the node label...
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Efficient distributed algorithms for holistic aggregation functions on random regular graphs
In this paper, we propose efficient distributed algorithms for three holistic aggregation functions on random regular graphs that are good candidates...
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LINDA: multi-agent local information decomposition for awareness of teammates
In cooperative multi-agent reinforcement learning (MARL), where agents only have access to partial observations, efficiently leveraging local...
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Rao algorithms based on elite local search method
The Rao algorithms, which have been proposed for solving complex and continuous optimization problems lately, are described as metaphor-less...
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More on Functions
Now that you’ve completed Chapter , you have a good grounding in the essentials of creating and using functions....
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Detection of local motion blurred/non-blurred regions in an image
Motion blur of an image is a common phenomenon that occurs while taking a photograph due to the relative movement of the object and an image...
