Ryan conor o'neill michael (58 risultati)

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Condizione: New. In English.

Condizione: good. A copy that has been read, remains in good condition. All pages are intact, and the cover is intact. The spine and cover show signs of wear. Pages can include notes and highlighting and show signs of wear, and the copy can include "From the library of" labels or previous owner inscriptions. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships via media mail.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Regular Papers.- On the Usefulness of Extracting Syntactic Dependencies for Text Indexing.- Using Latent Semantic Indexing as a Measure of Conceptual Association for Noun Compound Disambiguation.- RADAR: Finding Analogies Using Attributes of Structure.- Classifying Languages Based on Speech Rhythm.- Finding Agents in a Two-Dimensional Boolean STaM.- Neuro-symbolic System for Forecasting Red Tides.- Improved Learning for Hidden Markov Models Using Penalized Training.- Recovering High-Level Structure of Software Systems Using a Minimum Description Length Principle.- A System for Multi-agent Information Retrieval.- All There Is to the Mind Is to Have the Right Genes, or, Consciousness as a Form of Genetic Engineering.- Towards Robust Collaborative Filtering.- GVR: A New Genetic Representation for the Vehicle Routing Problem.- An Empirical Comparison of Particle Swarm and Predator Prey Optimisation.- Data Mining Support for Case-Based Collaborative Recommendation.- The Feasibility of Machine Learning for Query Answering - An Experiment in Two Domains.- Meta-knowledge Annotation for Efficient Natural-Language Question-Answering.- Concise Papers.- Financial Time Series Modelling Using Neural Networks: An Assessment of the Utility of a Stacking Methodology.- Experiments in Sparsity Reduction: Using Clustering in Collaborative Recommenders.- Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit.- How People Compare an Item's Placement in Two Alternative Categories.- Investigations into Market Index Trading Models Using Evolutionary Automatic Programming.- An Interactive Story Engine.- Coherence, Explanation, and Bayesian Networks.- Combining Case-Based Reasoning and Analogical Reasoning in Software Design.- Combination Methods forImproving the Reliability of Machine Translation Based Cross-Language Information Retrieval.- A System for Music Information Retrieval.- A New Bayesian Network Structure for Classification Tasks.- Evaluating Preference-Based Feedback in Recommender Systems.- Design of a Musical Instrument Classifier System Based on Mel Scaled Cepstral Coefficient Supervectors and a Supervised Two-Layer Feedforward Neural Network.- An Interactive Learning Environment for Knowledge Engineering.- Customising a Copying-Identi.er for Biomedical Science Student Reports: Comparing Simple and Smart Analyses.- A Hybridised GA for the Steiner Minimal Tree Problem.- Speaking Autonomous Intelligent Devices.…

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Trade Paperback. Condizione: Fine. No Jacket. A clean, unmarked copy with a tight binding. 144 pages.

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Condizione: New.

Condizione: New.

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Taschenbuch. Condizione: Neu. Neuware -This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization.The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE.The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems.Topics include:- Grammar design - Bias in GE- Mapping in GE- Theory of disruption in GE Structured GE Geometric semantic GE GE and semantics Multi- and Many-core heterogeneous parallel GE Comparing methods to creating constants in GE Financial modelling with GE Synthesis of parallel programs on multi-cores Design, architecture and engineering with GE Computational creativity and GE GE in the prediction of glucose for diabetes GE approaches to bioinformatics and system genomics GE with coevolutionary algorithms in cybersecurity Evolving behaviour trees with GE for platform games Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials 508 pp. Englisch.…

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In English.

Condizione: New. In English.

Condizione: New. In English.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New. Provides the comprehensive introduction to Grammatical Evolution, a novel approach to Genetic Programming that adopts principles from molecular biology. This approach to Genetic Programming represents a powerful new weapon in the Machine Learning toolkit that can be applied to a diverse set of problem domains. Series: Genetic Programming. Num Pages: 144 pages, biography. BIC Classification: UM; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 241 x 160 x 15. Weight in Grams: 410. . 2003. Hardback. . . . .…

Taschenbuch. Condizione: Neu. Handbook of Grammatical Evolution | Conor Ryan (u. a.) | Taschenbuch | x | Englisch | 2019 | Springer | EAN 9783030087722 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This handbook offers a comprehensive treatise on Grammatical Evolution (GE), a grammar-based Evolutionary Algorithm that employs a function to map binary strings into higher-level structures such as programs. GE's simplicity and modular nature make it a very flexible tool. Since its introduction almost twenty years ago, researchers have applied it to a vast range of problem domains, including financial modelling, parallel programming and genetics. Similarly, much work has been conducted to exploit and understand the nature of its mapping scheme, triggering additional research on everything from different grammars to alternative mappers to initialization.The book first introduces GE to the novice, providing a thorough description of GE along with historical key advances. Two sections follow, each composed of chapters from international leading researchers in the field. The first section concentrates on analysis of GE and its operation, giving valuable insight into set up and deployment. The second section consists of seven chapters describing radically different applications of GE.The contributions in this volume are beneficial to both novices and experts alike, as they detail the results and researcher experiences of applying GE to large scale and difficult problems.Topics include:- Grammar design - Bias in GE- Mapping in GE- Theory of disruption in GE Structured GE Geometric semantic GE GE and semantics Multi- and Many-core heterogeneous parallel GE Comparing methods to creating constants in GE Financial modelling with GE Synthesis of parallel programs on multi-cores Design, architecture and engineering with GE Computational creativity and GE GE in the prediction of glucose for diabetes GE approaches to bioinformatics and system genomics GE with coevolutionary algorithms in cybersecurity Evolving behaviour trees with GE for platform games Business analytics and GE for the prediction of patient recruitment in multicentre clinical trials.…