Computer algorithms.
Overview
| Works: | 273 works in 146 publications in 146 languages | |
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Titles
Random generation of trees :random generators in computer science /
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Algorithms on strings, trees, and sequences :computer science andcomputational biology /
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Data mining for association rules and sequential patterns :sequential and parallel algorithms /
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Probability and statistics with reliability, queuing, and computer science applications /
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Pattern recognition algorithms for data mining :scalability, knowledge discovery and soft granular computing /
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Introduction to the design and analysis of algorithms :a strategic approach /
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Stochastic local search algorithms for multiobjective combinatorial optimization :methods and analysis /
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VLSI synthesis of DSP kernels :algorithmic and architectural transformations /
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Understanding complex datasets :data mining with matrix decompositions /
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Distributed Search by Constrained Agents :Algorithms, Performance, Communication /
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Understanding Planning Tasks :Domain Complexity and Heuristic Decomposition /
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Random generation of trees :random generators in computer science /
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Advanced symbolic analysis for compilersnew techniques and algorithms for symbolic program analysis and optimization /
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Efficient algorithmsessays dedicated to Kurt Mehlhorn on the occasion of his 60th birthday /
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Inductive inference for large scale text classificationkernel approaches and techniques /
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Advances in machine learning IIdedicated to the memory of Professor Ryszard S. Michalski /
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Optimal interprocedural program optimizationa new framework and its application /
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Algorithm engineering and experimentationinternational workshop ALENEX '99, Baltimore, MD, USA, January 15-16, 1999 : selected papers /
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Algorithm engineering and experimentationthird international workshop, ALENEX 2001, WAshington, DC, USA, January 5-6, 2001 : proceedings /
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Experimental algorithmicsfrom algorithm design to robust and efficient software /
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Automating the design of data mining algorithmsan evolutionary computation approach /
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Emotional cognitive neural algorithms with engineering applicationsdynamic logic: from vague to crisp /
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Constrained clustering :advances in algorithms, theory, and applications /
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Adaptive sampling with mobile WSNsimultaneous robot localisation and mapping of paramagnetic spatio-temporal fields /
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The multivariate algorithmic revolution and beyondessays dedicated to Michael R. Fellows on the occasion of his 60th birthday /
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Intelligent data analysis for real-life applicationstheory and practice /
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The logic of adaptive behaviorknowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains /
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Diagnostic test approaches to machine learning and commonsense reasoning systems
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Computationally efficient model predictive control algorithmsa neural network approach /
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Distributed control of robotic networksa mathematical approach to motion coordination algorithms /
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Python algorithmsmastering basic algorithms in the python language /
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High-performance deformable image registration algorithms for manycore processors
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Boosted statistical relational learnersfrom benchmarks to data-driven medicine /
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Evolutionary optimization algorithms :biologically-Inspired and population-based approaches to computer intelligence /
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Algorithmic aspects of analysis, prediction, and control in science and engineeringan approach based on symmetry and similarity /
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Algorithms and ordering heuristics for distributed constraint satisfaction problems
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Operators for similarity searchsemantics, techniques and usage scenarios /
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Algorithms, probability, networks, and gamesscientific papers and essays dedicated to Paul G. Spirakis on the occasion of his 60th birthday /
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Teaching learning based optimization algorithmand its engineering applications /
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Security of block ciphersfrom algorithm design to hardware implementation /
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Guide to computational modelling for decision processestheory, algorithms, techniques and applications /
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Process algebras for Petri netsthe alphabetization of distributed systems /
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Optimization of computer networksmodeling and algorithms : a hands-on approach /
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Algorithms for next-generation sequencing datatechniques, approaches, and applications /
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Combinatorial optimization and graph algorithmscommunications of NII Shonan Meetings /
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Data science algorithms in a week :data analysis, machine learning, and more /
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Machine learning algorithms :reference guide for popular algorithms for data science and machine learning /
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Algorithmic and experimental methods in algebra, geometry, and number theory
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Data mining algorithms in C++data patterns and algorithms for modern applications /
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Computer algebra and materials physicsa practical guidebook to group theoretical computations in materials science /
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Veracity of big datamachine learning and other approaches to verifying truthfulness /
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Adventures between lower bounds and higher altitudesessays dedicated to Juraj Hromkovic on the occasion of his 60th birthday /
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Monetizing machine learningquickly turn Python ML ideas into web applications on the serverless cloud /
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Modern algorithms for image processingcomputer imagery by example using C# /
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Models, algorithms, logics and toolsessays dedicated to Kim Guldstrand Larsen on the occasion of his 60th Birthday /
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Low-rank models in visual analysis :theories, algorithms, and applications /
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Introduction to data science :data analysis and prediction algorithms with R /
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Recent advances on memetic algorithms and its applications in image processing
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Algorithms and data structuresfoundations and probabilistic methods for design and analysis /
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Algorithmic governance and governance of algorithmslegal and ethical challenges /
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Archiving strategies for evolutionary multi-objective optimization algorithms
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Programming algorithms in Lispwriting efficient programs with examples in ANSI Common Lisp /
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Hands-on machine learning with ML.NET :getting started with Microsoft's ML.NET to implement popular machine learning algorithms in C# /
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Quantum algorithms for cryptographically significant Boolean functionsan IBMQ experience /
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How algorithms create and prevent fake newsexploring the impacts of social media, deepfakes, GPT-3, and more /
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Numerical methods using Javafor data science, analysis, and engineering /
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Methods and applications of algorithmic complexitybeyond statistical lossless compression /
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How to design optimization algorithms by applying natural behavioral patterns
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Algorithms with JULIAoptimization, machine learning, and differential Equations using the JULIA language /
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Learning genetic algorithms with Pythonempower the performance of machine learning and AI models with the capabilities of a powerful search algorithm /
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A quick reference to data structures and computer algorithmsan insight on the beauty of blockchain /
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The illusion of controlproject data, computer algorithms and human intuition for project management and control /
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Knowledge recommendation systems with machine intelligence algorithmspeople and innovations /
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