Titlebook: Sublinear Computation Paradigm; Algorithmic Revoluti Naoki Katoh,Yuya Higashikawa,Yushi Uno Book‘‘‘‘‘‘‘‘ 2022 The Editor(s) (if applicable)

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Enhanced RAM Simulation in Succinct Spaceabout oblivious RAM, which enables a remote database to be accessed without revealing to the database owner which part of the database is being accessed. The other is about wear leveling, which enables the number of updates to be balanced among all the memory cells regardless of the content of the c

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Review of Sublinear Modeling in Probabilistic Graphical Models by Statistical Mechanical Informaticsistical mechanical informatics schemes are based on advanced mean-field methods including loopy belief propagations. This chapter explores how phase transitions appear in loopy belief propagations for prior probabilistic graphical models. The frameworks are mainly explained for loopy belief propagat

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Empirical Bayes Method for Boltzmann Machinesic likelihood function referred to as the empirical Bayes likelihood function. However, the maximization is computationally difficult because the empirical Bayes likelihood function involves intractable integrations of the partition function. The method presented in this chapter avoids this computat

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Book‘‘‘‘‘‘‘‘ 2022large multiyear academic research project “Foundations of Innovative Algorithms for Big Data.” That project ran from October 2014 to March 2020, in Japan. To handle the unprecedented explosion of big data sets in research, industry, and other areas of society, there is an urgent need to develop nove

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Almost Linear Time Algorithms for Some Problems on Dynamic Flow Networksroblem of locating multiple sinks in a dynamic flow path network such that the max/sum of evacuation times for all the people to sinks is minimized, and we focus on techniques that enable the problems to be solved in almost linear time.

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