Výsledky vyhľadávania - (automatic OR automaticky) programming— program synthesis general terms experimentation*

TREAD: A New Genetic Programming Representation Aimed at Research of Long Term Complexity Growth

Autori: Tony E Lewis George D Magoulas The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Tony E Lewis George D Magoulas The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1339.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— program synthesis General Terms Algorithms, Design, Experimentation Keywords Artificial Intelligence, Genetic Programming, Representations

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.820; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1339.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.820
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1339.pdf

Learning Programs from Traces Using Version Space Algebra

Autori: Tessa Lau Pedro Domingos Daniel S. Weld a ďalší

Prispievatelia: Tessa Lau Pedro Domingos Daniel S. Weld a ďalší

Zdroj: http://www.cs.washington.edu/homes/pedrod/papers/kcap03b.pdf.

Predmety: Automatic programming—Program synthesis General Terms Algorithms, Experimentation, Human Factors

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2438; http://www.cs.washington.edu/homes/pedrod/papers/kcap03b.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.6.2438
http://www.cs.washington.edu/homes/pedrod/papers/kcap03b.pdf

Advanced Techniques for the Creation and Propagation of Modules

Autori: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.uni-paderborn.de/fileadmin/Informatik/AG-Platzner/publications/kaufmann08_gecco/gecco08kaufmann.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program Synthesis General Terms Algorithms, Design, Experimentation, Performance Keywords Cartesian genetic programming (CGP, embedded cartesian

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.6377

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.545.6377
http://www.cs.uni-paderborn.de/fileadmin/Informatik/AG-Platzner/publications/kaufmann08_gecco/gecco08kaufmann.pdf

The reliability of confidence intervals for computational effort comparisons

Autori: Matthew Walker Howard Edwards Chris Messom a ďalší

Prispievatelia: Matthew Walker Howard Edwards Chris Messom a ďalší

Zdroj: http://www.massey.ac.nz/~chmessom/Gecco2007paper2.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program synthesis General Terms Experimentation, Measurement, Performance Keywords Genetic Programming, Computational Effort, Confidence Intervals, Wilson’s Method

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.4706; http://www.massey.ac.nz/~chmessom/Gecco2007paper2.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.64.4706
http://www.massey.ac.nz/~chmessom/Gecco2007paper2.pdf

Meta-Optimizing Semantic Evolutionary Search Categories and Subject Descriptors I.2.2 [Artificial Intelligence]: Automatic Programming – Program synthesis General Terms

Prispievatelia: The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.metacog.org/papers/gecco07c.pdf.

Predmety: Algorithms, Design, Experimentation Keywords Empirical Study, Heuristics, Optimization

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.706; http://www.metacog.org/papers/gecco07c.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.103.706
http://www.metacog.org/papers/gecco07c.pdf

MOGE: GP classification problem decomposition using multi-objective optimization

Autori: Andrew Mcintyre Malcolm Heywood The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Andrew Mcintyre Malcolm Heywood The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.york.ac.uk/rts/docs/GECCO_2006/docs/p863.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – program synthesis. General Terms Algorithms, Performance, Design, Experimentation. Keywords Genetic Programming, Multi-objective Classification

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8631; http://www.cs.york.ac.uk/rts/docs/GECCO_2006/docs/p863.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8631
http://www.cs.york.ac.uk/rts/docs/GECCO_2006/docs/p863.pdf

Jungloid Mining: Helping to Navigate the API Jungle

Autori: David Mandelin Lin Xu Rastislav Bodík a ďalší

Prispievatelia: David Mandelin Lin Xu Rastislav Bodík a ďalší

Zdroj: http://www.cs.berkeley.edu/%7Emandelin/ProspectorPLDI05.pdf.

Predmety: D.2.13 [Software Engineering, Reusable Software–Reuse Models, I.2.2 [Artificial Intelligence, Automatic Programming– Program synthesis General Terms Experimentation, Languages Keywords reuse, program synthesis, mining

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.4415; http://www.cs.berkeley.edu/%7Emandelin/ProspectorPLDI05.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.4415
http://www.cs.berkeley.edu/%7Emandelin/ProspectorPLDI05.pdf

Towards Identifying Populations that Increase the Likelihood of

Autori: Jason M. Daida The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Jason M. Daida The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1627.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – program synthesis. General Terms Algorithms, Performance, Experimentation, Theory. Keywords Population dynamics, initial populations, binomial-3, GP problem difficulty

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8098; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1627.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.420.8098
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1627.pdf

Evolving a digital multiplier with the pushgp genetic programming system,” in GECCO ’13 Companion: Proceeding of the fifteenth annual conference companion on Genetic and evolutionary computation conference companion

Autori: Thomas Helmuth Lee Spector The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Thomas Helmuth Lee Spector The Pennsylvania State University CiteSeerX Archives

Zdroj: http://faculty.hampshire.edu/lspector/pubs/W1501-helmuth-with-erratum.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program synthesis General Terms

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.4243

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.4243
http://faculty.hampshire.edu/lspector/pubs/W1501-helmuth-with-erratum.pdf

The effect of distance metrics in a general purpose synthesizer of imperative programs: A second empirical study using enlarged search spaces.

Autori: Correia, Alexandre R. S. Iyoda, Juliano M. Mota, Alexandre C.

Zdroj: Software: Practice & Experience; Mar2024, Vol. 54 Issue 3, p528-540, 13p

Predmety: EMPIRICAL research, RESEARCH personnel

Partial bounding for recursive function synthesis.

Autori: Farzan, Azadeh Nicolet, Victor

Zdroj: Formal Methods in System Design; Oct2024, Vol. 63 Issue 1-3, p172-205, 34p

Predmety: COMPUTABLE functions, RECURSIVE functions, SKELETON

TREAD: A New Genetic Programming Representation Aimed at Research of Long Term Complexity Growth ABSTRACT

Autori: Tony E Lewis The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Tony E Lewis The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.dcs.bbk.ac.uk/~gmagoulas/t12pap515-lewis.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— program synthesis General Terms Algorithms, Design, Experimentation Keywords Artificial Intelligence, Genetic Programming, Representations

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.4458

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.4458
http://www.dcs.bbk.ac.uk/~gmagoulas/t12pap515-lewis.pdf

The effect of distance metrics in a general purpose synthesizer: An empirical study on integer domain imperative programs.

Autori: Correia, Alexandre R. S. Iyoda, Juliano M. Mota, Alexandre C.

Zdroj: Software: Practice & Experience; May2022, Vol. 52 Issue 5, p1294-1304, 11p

Predmety: INTEGERS, GENETIC algorithms, EMPIRICAL research, ONE-way analysis of variance, GENETIC models, LOSSLESS data compression

J-Orchestra: Enhancing Java Programs with Distribution Capabilities

Autori: Eli Tilevich The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Eli Tilevich The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.vt.edu/~tilevich/papers/jorchestra.pdf.

Predmety: Categories and Subject Descriptors, D.2.3 [Software Engineering, Coding Tools and Techniques—Object-oriented programming, D.2.7 [Software Engineering, Distribution, Maintenance, and Enhancement—Enhancement, D.1.2 [Programming Techniques, Automatic Programming—Program transformation, Automatic Programming—Program synthesis General Terms, Experimentation, Languages Additional Key Words and Phrases, Separation of concerns, Distributed Computing, Java, Middleware, RMI, Bytecode engineering

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.137.4166; http://www.cs.vt.edu/~tilevich/papers/jorchestra.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.137.4166
http://www.cs.vt.edu/~tilevich/papers/jorchestra.pdf

An Investigation into Using Genetic Programming as a Means of Inducing Solutions to Novice Procedural Programming Problems

Autori: Nelishia Pillay The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Nelishia Pillay The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1781.pdf.

Predmety: I.2.2 [Artificial Intelligence, Automatic Programming – program synthesis. General Terms, Algorithms, Experimentation, Theory. Keywords Genetic programming

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.7997; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1781.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.7997
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2005/docs/p1781.pdf

Understanding Microarray Data through Applying Competent Program Evolution

Autori: Moshe Looks Mauricio Mudado Cassio Pennachin a ďalší

Prispievatelia: Moshe Looks Mauricio Mudado Cassio Pennachin a ďalší

Zdroj: http://www.metacog.org/papers/gecco07e.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming – Program synthesis General Terms Algorithms, Design, Experimentation Keywords Empirical Study, Heuristics, Optimization, Representations

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.7743; http://www.metacog.org/papers/gecco07e.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.7743
http://www.metacog.org/papers/gecco07e.pdf

Searching for Novel Clustering Programs

Autori: Enrique Naredo Leonardo Trujillo The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Enrique Naredo Leonardo Trujillo The Pennsylvania State University CiteSeerX Archives

Zdroj: http://eplex.cs.ucf.edu/noveltysearch/userspage/GECCO-2013-Trujillo.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— program synthesis General Terms Performance, Theory, Experimentation Keywords Novelty Search, Genetic Programming, Clustering

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.5063

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.365.5063
http://eplex.cs.ucf.edu/noveltysearch/userspage/GECCO-2013-Trujillo.pdf

Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis.

Autori: Bach, Bao Gia Kundu, Akash Acharya, Tamal a ďalší

Zdroj: Entropy; May2023, Vol. 25 Issue 5, p763, 20p

Predmety: QUANTUM states, ARTIFICIAL intelligence, MACHINE learning, QUANTUM logic, CIRCUIT complexity, QUANTUM gates, COMBINATIONAL circuits, LOGIC circuits

Advanced Techniques for the Creation and Propagation of Modules in Cartesian Genetic Programming

Autori: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Paul Kaufmann Marco Platzner The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1219.pdf.

Predmety: Categories and Subject Descriptors I.2.2 [Artificial Intelligence, Automatic Programming— Program Synthesis General Terms Algorithms, Design, Experimentation, Performance Keywords Cartesian genetic programming (CGP, embedded cartesian

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.9345; http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1219.pdf

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.152.9345
http://www.cs.bham.ac.uk/~wbl/biblio/gecco2008/docs/p1219.pdf

From Integer Programming to Machine Learning: A Technical Review on Solving University Timetabling Problems.

Autori: Gu, Xin Krish, Muralee Sohail, Shaleeza a ďalší

Zdroj: Computation; Jan2025, Vol. 13 Issue 1, p10, 27p

Predmety: CONSTRAINT programming, UNIVERSITIES & colleges, BLENDED learning, HIGHER education, DEEP diving