Jason H. Moore – författare

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24 produkter

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24 produkter

Integrative Bioinformatics for Biomedical Big Data
A No-Boundary Thinking Approach
AvYu Zhang,Jason H. Moorem. fl.
E-bok
PDF, Engelska, 2023
854 kr
Läs direkt efter köp
The volume and complexity of biological and biomedical research continues to grow exponentially with cutting-edge technologies such as high-throughput sequencing. Unfortunately, bioinformatics analysis is often considered only after data have been generated, which significantly limits the ability to make sense of complex big data. This unique book introduces the idea of No-Boundary Thinking (NBT) in biological and biomedical research, which aims to access, integrate, and synthesize data, information, and knowledge from bioinformatics to define important problems and articulate impactful research questions. This interdisciplinary volume brings together a team of bioinformatics specialists who draw on their own experiences with NBT to illustrate the importance of collaborative science. It will help stimulate discussion and application of NBT, and will appeal to all biomedical researchers looking to maximize their use of bioinformatics for making scientific discoveries.
Integrative Bioinformatics for Biomedical Big Data
A No-Boundary Thinking Approach
AvYu Zhang,Jason H. Moorem. fl.
E-bok
Engelska, 2023
845 kr
Läs direkt efter köp
The volume and complexity of biological and biomedical research continues to grow exponentially with cutting-edge technologies such as high-throughput sequencing. Unfortunately, bioinformatics analysis is often considered only after data have been generated, which significantly limits the ability to make sense of complex big data. This unique book introduces the idea of No-Boundary Thinking (NBT) in biological and biomedical research, which aims to access, integrate, and synthesize data, information, and knowledge from bioinformatics to define important problems and articulate impactful research questions. This interdisciplinary volume brings together a team of bioinformatics specialists who draw on their own experiences with NBT to illustrate the importance of collaborative science. It will help stimulate discussion and application of NBT, and will appeal to all biomedical researchers looking to maximize their use of bioinformatics for making scientific discoveries.
Integrative Bioinformatics for Biomedical Big Data
A No-Boundary Thinking Approach
AvXiuzhen Huang,Jason H. Moorem. fl.
Inbunden, Engelska, 2023
701 kr
Skickas inom 3-6 vardagar
The volume and complexity of biological and biomedical research continues to grow exponentially with cutting-edge technologies such as high-throughput sequencing. Unfortunately, bioinformatics analysis is often considered only after data have been generated, which significantly limits the ability to make sense of complex big data. This unique book introduces the idea of No-Boundary Thinking (NBT) in biological and biomedical research, which aims to access, integrate, and synthesize data, information, and knowledge from bioinformatics to define important problems and articulate impactful research questions. This interdisciplinary volume brings together a team of bioinformatics specialists who draw on their own experiences with NBT to illustrate the importance of collaborative science. It will help stimulate discussion and application of NBT, and will appeal to all biomedical researchers looking to maximize their use of bioinformatics for making scientific discoveries.
Genetic Programming Theory and Practice IX
AvRick Riolo,Ekaterina Vladislavlevam. fl.
Inbunden, Engelska, 2011
577 kr
Skickas inom 10-15 vardagar
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.Topics include: modularity and scalability; evolvability; human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge;In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning. This text is for all GP explorers. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Genetic Programming Theory and Practice IX
AvJason H. Moore,Ekaterina Vladislavlevam. fl.
E-bok
PDF, Engelska, 2011
739 kr
Läs direkt efter köp
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.Topics include: modularity and scalability; evolvability; human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge;In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning. This text is for all GP explorers. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Genetic Programming Theory and Practice IX
AvRick Riolo,Ekaterina Vladislavlevam. fl.
Häftad, Engelska, 2013
577 kr
Skickas inom 10-15 vardagar
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.Topics include: modularity and scalability; evolvability; human-competitive results; the need for important high-impact GP-solvable problems;; the risks of search stagnation and of cutting off paths to solutions; the need for novelty; empowering GP search with expert knowledge;In addition, GP symbolic regression is thoroughly discussed, addressing such topics as guaranteed reproducibility of SR; validating SR results, measuring and controlling genotypic complexity; controlling phenotypic complexity; identifying, monitoring, and avoiding over-fitting; finding a comprehensive collection of SR benchmarks, comparing SR to machine learning. This text is for all GP explorers. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Genetic Programming Theory and Practice X
AvRick Riolo,Ekaterina Vladislavlevam. fl.
Inbunden, Engelska, 2013
577 kr
Skickas inom 10-15 vardagar
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Genetic Programming Theory and Practice X
AvJason H. Moore,Marylyn D Ritchiem. fl.
E-bok
PDF, Engelska, 2013
734 kr
Läs direkt efter köp
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP.
Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data.
Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Genetic Programming Theory and Practice X
AvRick Riolo,Ekaterina Vladislavlevam. fl.
Häftad, Engelska, 2015
577 kr
Skickas inom 10-15 vardagar
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3) The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Genetic Programming Theory and Practice XI
AvRick Riolo,Jason H. Moorem. fl.
Inbunden, Engelska, 2014
577 kr
Skickas inom 10-15 vardagar
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3)The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Genetic Programming Theory and Practice XI
AvMark Kotanchek,Jason H. Moorem. fl.
E-bok
PDF, Engelska, 2014
739 kr
Läs direkt efter köp
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3)The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Epistasis
Methods and Protocols
AvJason H. Moore,Scott M. Williams
Inbunden, Engelska, 2014
1 146 kr
Skickas inom 10-15 vardagar
This volume presents a valuable and readily reproducible collection of established and emerging techniques on modern genetic analyses. Chapters focus on statistical or data mining analyses, genetic architecture, the burden of multiple testing, genetic variance, measuring epistasis, multifactor dimensionality reduction, and ReliefF. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Epistasis: Methods and Protocols aids scientists in continuing to study elucidate epistasis in the context of modern data availability.
Epistasis
Methods and Protocols
AvScott M. Williams,Jason H. Moore
E-bok
Engelska, 2014
1 470 kr
Läs direkt efter köp
This volume presents a valuable and readily reproducible collection of established and emerging techniques on modern genetic analyses. Chapters focus on statistical or data mining analyses, genetic architecture, the burden of multiple testing, genetic variance, measuring epistasis, multifactor dimensionality reduction, and ReliefF. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Authoritative and practical, Epistasis: Methods and Protocols aids scientists in continuing to study elucidate epistasis in the context of modern data availability.
Epistasis
Methods and Protocols
AvJason H. Moore,Scott M. Williams
Häftad, Engelska, 2016
1 374 kr
Skickas inom 10-15 vardagar
This volume presents a valuable and readily reproducible collection of established and emerging techniques on modern genetic analyses. Chapters focus on statistical or data mining analyses, genetic architecture, the burden of multiple testing, genetic variance, measuring epistasis, multifactor dimensionality reduction, and ReliefF. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.Authoritative and practical, Epistasis: Methods and Protocols aids scientists in continuing to study elucidate epistasis in the context of modern data availability.
Genetic Programming Theory and Practice XI
AvRick Riolo,Jason H. Moorem. fl.
Häftad, Engelska, 2016
577 kr
Skickas inom 10-15 vardagar
These contributions, written by the foremost international researchers and practitioners of Genetic Programming (GP), explore the synergy between theoretical and empirical results on real-world problems, producing a comprehensive view of the state of the art in GP. Topics in this volume include: evolutionary constraints, relaxation of selection mechanisms, diversity preservation strategies, flexing fitness evaluation, evolution in dynamic environments, multi-objective and multi-modal selection, foundations of evolvability, evolvable and adaptive evolutionary operators, foundation of injecting expert knowledge in evolutionary search, analysis of problem difficulty and required GP algorithm complexity, foundations in running GP on the cloud – communication, cooperation, flexible implementation, and ensemble methods. Additional focal points for GP symbolic regression are: (1) The need to guarantee convergence to solutions in the function discovery mode; (2) Issues on model validation; (3)The need for model analysis workflows for insight generation based on generated GP solutions – model exploration, visualization, variable selection, dimensionality analysis; (4) Issues in combining different types of data. Readers will discover large-scale, real-world applications of GP to a variety of problem domains via in-depth presentations of the latest and most significant results.
Clinical Applications of Artificial Intelligence in Real-World Data
AvFolkert W. Asselbergs,Spiros Denaxasm. fl.
Inbunden, Engelska, 2023
1 224 kr
Skickas inom 10-15 vardagar
This book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. Clinical Applications of Artificial Intelligence in Real-World Data is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques.
Clinical Applications of Artificial Intelligence in Real-World Data
AvJason H. Moore,Daniel L. Oberskim. fl.
E-bok
Engelska, 2023
1 138 kr
Läs direkt efter köp
This book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. Clinical Applications of Artificial Intelligence in Real-World Data is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques.
Clinical Applications of Artificial Intelligence in Real-World Data
AvFolkert W. Asselbergs,Spiros Denaxasm. fl.
Häftad, Engelska, 2024
919 kr
Skickas inom 10-15 vardagar
This book is a thorough and comprehensive guide to the use of modern data science within health care. Critical to this is the use of big data and its analytical potential to obtain clinical insight into issues that would otherwise have been missed and is central to the application of artificial intelligence. It therefore has numerous uses from diagnosis to treatment. Clinical Applications of Artificial Intelligence in Real-World Data is a critical resource for anyone interested in the use and application of data science within medicine, whether that be researchers in medical data science or clinicians looking for insight into the use of these techniques.
Applications of Evolutionary Computing
EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, Hungary, April 10-12, 2006, Proceedings
AvFranz Rothlauf,Jürgen Brankem. fl.
Häftad, Engelska, 2006
1 147 kr
Skickas inom 10-15 vardagar
This book presents the refereed joint proceedings of seven workshops on evolutionary computing, EvoWorkshops 2006, held in Budapest in April 2006. 65 revised full papers and 13 revised short papers presented were carefully reviewed and selected from a total of 149 submissions. The book is organized in topical sections including evolutionary bioinformatics, evolutionary computation in communications, networks, and connected systems, and more.
Applications of Evolutionary Computing
EvoWorkshops 2006: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, and EvoSTOC, Budapest, Hungary, April 10-12, 2006, Proceedings
AvHideyuki Takagi,Giovanni Squillerom. fl.
E-bok
PDF, Engelska, 2006
1 470 kr
Läs direkt efter köp
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings
AvElena Marchiori,Jason H. Moorem. fl.
Häftad, Engelska, 2007
577 kr
Skickas inom 10-15 vardagar
This book constitutes the refereed proceedings of the 5th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics, EvoBIO 2007, held in Valencia, Spain, April 2007. Coverage brings together experts in computer science with experts in bioinformatics and the biological sciences. It presents contributions on fundamental and theoretical issues along with papers dealing with different applications areas.
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
5th European Conference, EvoBIO 2007, Valencia, Spain, April 11-13, 2007, Proceedings
AvJagath C. Rajapakse,Jason H. Moorem. fl.
E-bok
PDF, Engelska, 2007
712 kr
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Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings
AvElena Marchiori,Jason H. Moore
Häftad, Engelska, 2008
577 kr
Skickas inom 10-15 vardagar
The ?eld of bioinformatics has two main objectives: the creation and main- nance of biological databases, and the discovery of knowledge from life sciences data in order to unravel the mysteries of biological function, leading to new drugs and therapies for human disease. Life sciences data come in the form of biological sequences, structures, pathways, or literature. One major aspect of discovering biological knowledge is to search, predict, or model speci?c infor- tioninagivendatasetinordertogeneratenewinterestingknowledge.Computer science methods such as evolutionary computation, machine learning, and data mining all have a great deal to o?er the ?eld of bioinformatics. The goal of the 6th EuropeanConference on EvolutionaryComputation, Machine Learning, andDataMininginBioinformatics(EvoBIO2008)wastobringtogetherexperts from these ?elds in order to discuss new and novelmethods for tackling complex biological problems. The 6th EvoBIO conference was held in Naples, Italy on March 26-28, 2008 at the "Centro Congressi di Ateneo Federico II".EvoBIO 2008 was held jointly with the 11th European Conference on Genetic Programming (EuroGP 2008), the 8th European Conference on Evolutionary Computation in Combinatorial Optimisation (EvoCOP 2008), and the Evo Workshops. Collectively, the conf- ences and workshops were organized under the name Evo* (www.evostar.org).
Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
6th European Conference, EvoBIO 2008, Naples, Italy, March 26-28, 2008, Proceedings
AvJason H. Moore,Elena Marchiori
E-bok
PDF, Engelska, 2008
718 kr
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Företag, bibliotek eller offentlig verksamhet?

Jason H. Moore – författare

Integrative Bioinformatics for Biomedical Big Data

Integrative Bioinformatics for Biomedical Big Data

Integrative Bioinformatics for Biomedical Big Data

Genetic Programming Theory and Practice IX

Genetic Programming Theory and Practice IX

Genetic Programming Theory and Practice IX

Genetic Programming Theory and Practice X

Genetic Programming Theory and Practice X

Genetic Programming Theory and Practice X

Genetic Programming Theory and Practice XI

Genetic Programming Theory and Practice XI

Epistasis

Epistasis

Epistasis

Genetic Programming Theory and Practice XI

Clinical Applications of Artificial Intelligence in Real-World Data

Clinical Applications of Artificial Intelligence in Real-World Data

Clinical Applications of Artificial Intelligence in Real-World Data

Applications of Evolutionary Computing

Applications of Evolutionary Computing

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics

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