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Machine learning: an artificial intelligence approach
Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
Tioga
1983
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| Materias: | |
| Acceso en línea: | http://cds.cern.ch/record/105338 |
| _version_ | 1780877239468949504 |
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| author | Anderson, John Banerjee, R Bradshaw, Gary Carbonell, Jaime Guillermo Mitchell, Tom Michael Michalski, Ryszard Spencer |
| author_facet | Anderson, John Banerjee, R Bradshaw, Gary Carbonell, Jaime Guillermo Mitchell, Tom Michael Michalski, Ryszard Spencer |
| author_sort | Anderson, John |
| collection | CERN |
| description | Machine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs-particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV a |
| id | cern-105338 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 1983 |
| publisher | Tioga |
| record_format | invenio |
| spelling | cern-1053382021-04-22T05:42:50Zhttp://cds.cern.ch/record/105338engAnderson, JohnBanerjee, RBradshaw, GaryCarbonell, Jaime GuillermoMitchell, Tom MichaelMichalski, Ryszard SpencerMachine learning: an artificial intelligence approachComputing and ComputersMachine Learning: An Artificial Intelligence Approach contains tutorial overviews and research papers representative of trends in the area of machine learning as viewed from an artificial intelligence perspective. The book is organized into six parts. Part I provides an overview of machine learning and explains why machines should learn. Part II covers important issues affecting the design of learning programs-particularly programs that learn from examples. It also describes inductive learning systems. Part III deals with learning by analogy, by experimentation, and from experience. Parts IV aTiogaMorgan Kaufmannoai:cds.cern.ch:1053381983 |
| spellingShingle | Computing and Computers Anderson, John Banerjee, R Bradshaw, Gary Carbonell, Jaime Guillermo Mitchell, Tom Michael Michalski, Ryszard Spencer Machine learning: an artificial intelligence approach |
| title | Machine learning: an artificial intelligence approach |
| title_full | Machine learning: an artificial intelligence approach |
| title_fullStr | Machine learning: an artificial intelligence approach |
| title_full_unstemmed | Machine learning: an artificial intelligence approach |
| title_short | Machine learning: an artificial intelligence approach |
| title_sort | machine learning: an artificial intelligence approach |
| topic | Computing and Computers |
| url | http://cds.cern.ch/record/105338 |
| work_keys_str_mv | AT andersonjohn machinelearninganartificialintelligenceapproach AT banerjeer machinelearninganartificialintelligenceapproach AT bradshawgary machinelearninganartificialintelligenceapproach AT carbonelljaimeguillermo machinelearninganartificialintelligenceapproach AT mitchelltommichael machinelearninganartificialintelligenceapproach AT michalskiryszardspencer machinelearninganartificialintelligenceapproach |