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Algorithms Illuminated (Part 4)

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Algorithms Illuminated (Part 2)

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Algorithms Illuminated (Part 3)

Accessible, no-nonsense, and programming language-agnostic introduction to algorithms. Part 3 covers greedy algorithms (scheduling, minimum;

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Artificial Intelligence Illuminated

Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its;

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Algorithms in C

5: Graph Algorithms is the second book in Sedgewick's thoroughly revised and rewritten series. The first book, Parts 1-4, addresses;

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Arc-Search Techniques for Interior-Point Methods

discusses recent developments that resolves the dilemma. It has three major parts. The first, including Chapters 1, 2, 3, and 4, presents some;

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Arc-Search Techniques for Interior-Point Methods

discusses recent developments that resolves the dilemma. It has three major parts. The first, including Chapters 1, 2, 3, and 4, presents some;

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Advances in Swarm Intelligence, Part I

system, differential evolution, neural networks, genetic algorithms, evolutionary computation, fuzzy methods, and hybrid algorithms - for part I;

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Tree-Based Methods for Statistical Learning in R

This book provides a thorough introduction to both individual decision tree algorithms (Part I) and ensembles thereof (Part II). Part I;

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Algorithms and Architectures for Parallel Processing Part II

4 papers of the 1st IEEE International Workshop on Parallel Architectures for Bioinformatics Systems (HardBio 2011).;

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Introduction to Algorithms and Data Structures in Swift 4

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WALCOM: Algorithms and Computation

, Nepal, in March 2016. The 27 full papers presented together with 4 invited talks were carefully reviewed and selected from 68 submissions. The;

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WALCOM: Algorithms and Computation

in Kolkata, India, in February 2009. The 30 revised full papers presented together with 4 invited papers were carefully reviewed and selected from;

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Java Illuminated

Written for the one- to three-term introductory programming course, the fifth edition of Java Illuminated provides learners with an;

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Bounds for Monotone Algorithms

In the first part "Mechanism Design and Monotone Algorithms," the motivating question is whether the results on truthful mechanisms;

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Algorithms and Ordering Heuristics for Distributed Constraint Satisfaction Problems

Satisfaction Problems Part 2. Synchronous Search Algorithms for DisCSPs 3. Nogood Based Asynchronous Forward Checking (AFC-ng) 4. Asynchronous;

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Algorithms in C++ Part 5

confidently implement, debug, and use the algorithms he covers. (Also available: Algorithms in C++: Parts 1-4, Third Edition, ISBN: 0-201-35088-2).;

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Graph Algorithms And Applications 4

, telecommunications networks, user interfaces and visualization, and VLSI circuit design.Graph Algorithms and Applications 4 presents contributions from;

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Randomized Algorithms

the basic concepts in the design and analysis of randomized algorithms. The first part of the book presents tools from probability theory and;

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Sonatas 'Scarlatti Illuminated' .. Illuminated' // Joseph Moog .. ILLUMINATED' // JOSEPH MOOG. D. SCARLATTI, CD

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Machine Learning Foundations

techniques. The book consists of four parts: foundation, supervised learning, unsupervised learning, and advanced learning. The first part provides;

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WALCOM: Algorithms and Computation

in Singapore in March/April 2020. The 23 full and 4 short papers presented were carefully reviewed and selected from 66 submissions. The papers focus;

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Classical and Evolutionary Algorithms in the Optimization of Optical Systems

evolutionary algorithms and their application to the optimization of optical systems. This book, which is divided into four parts, illustrates the;

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Neural Information Processing

reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms;

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Neural Information Processing

reviewed and selected from 1093 submissions. The papers were organized in topical sections as follows: Part I: Theory and algorithms;

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Intelligent Control Based on Flexible Neural Networks

. . . . . . . . . . . . . . . . . . . . . . . . . . . 64 3. 4 Learning Algorithms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 3. 4. 1 Generalized learning;

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Discrete Algebraic Methods

algebraic structures; this part provides all the necessary knowledge for the rest of the book. The next chapter gives a concise overview;

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