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Materie / parole chiave: data science, artificial intelligence, data analytics, predictive modeling, cybersecurity, algorithms; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materie / parole chiave: image analysis, algorithms; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materie / parole chiave: computation, algebraic structures, discrete structures, algorithms; Science: Mathematics

Materie / parole chiave: computational geometry, geometric algorithms; Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software; Science: Mathematics: Analysis

Materie / parole chiave: optimization, computer science, mathematics, algorithms; Science: Mathematics

Materie / parole chiave: machine learning, artificial intelligence, computational physics, reinforcement learning, neural networks, applied algorithms; Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer e...

Materie / parole chiave: Technology: Technology (General): Industrial engineering. Management engineering; Science: Mathematics: Instruments and machines: Electronic computers. Computer science

Materie / parole chiave: Science: Mathematics

Materie / parole chiave: Technology: Technology (General): Industrial engineering. Management engineering: Applied mathematics. Quantitative methods; Science: Mathematics

Materie / parole chiave: Science: Mathematics

Materie / parole chiave: Computer science; Mathematics; Set theory; Problems, exercises, etc; Algorithms; Logic, Symbolic and mathematical; Problems and exercises; Electronic books

We present an introduction to some of the state of the art in reduced order and surrogate modeling in gravitational-wave (GW) science. Approaches that we cover include principal component analysis, proper orthogonal (sin...

Materie / parole chiave: Cluster analysis; Computer science; Mathematics; Artificial intelligence

From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic al...

Fun and exciting textbook on the mathematics underpinning the most dynamic areas of modern science and engineering.

Materie / parole chiave: Computer science; Artificial intelligence; Ground truth; Taxonomy (biology); Software; Matching (statistics); Set (abstract data type); Frame (networking); Computer vision; Stereopsis; Data mining; Mathematics

This paper presents a database containing 'ground truth' segmentations produced by humans for images of a wide variety of natural scenes. We define an error measure which quantifies the consistency between segmentations ...

In this paper, we provide a systematic comparison of various evolutionary approaches to multiobjective optimization using six carefully chosen test functions. Each test function involves a particular feature that is know...

Independent component analysis (ICA) is a statistical method for transforming an observed multidimensional random vector into components that are statistically as independent from each other as possible. In this paper, w...

In this paper we present a new data structure for representing Boolean functions and an associated set of manipulation algorithms. Functions are represented by directed, acyclic graphs in a manner similar to the represen...

From the Publisher: The updated new edition of the classic Introduction to Algorithms is intended primarily for use in undergraduate or graduate courses in algorithms or data structures. Like the first edition,this text ...

Evolutionary algorithms (EAs) are often well-suited for optimization problems involving several, often conflicting objectives. Since 1985, various evolutionary approaches to multiobjective optimization have been develope...

A comprehensive introduction to network flows that brings together the classic and the contemporary aspects of the field, and provides an integrative view of theory, algorithms, and applications. presents in-depth, self-...

PhyML is a phylogeny software based on the maximum-likelihood principle. Early PhyML versions used a fast algorithm performing nearest neighbor interchanges to improve a reasonable starting tree topology. Since the origi...