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Targeted Learning
The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can...
| Autores principales: | , |
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| Lenguaje: | eng |
| Publicado: |
Springer
2011
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1007/978-1-4419-9782-1 http://cds.cern.ch/record/1414085 |
| _version_ | 1780923988498710528 |
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| author | van der Laan, Mark J Rose, Sherri |
| author_facet | van der Laan, Mark J Rose, Sherri |
| author_sort | van der Laan, Mark J |
| collection | CERN |
| description | The statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the targe |
| id | cern-1414085 |
| institution | Organización Europea para la Investigación Nuclear |
| language | eng |
| publishDate | 2011 |
| publisher | Springer |
| record_format | invenio |
| spelling | cern-14140852021-04-22T00:41:01Zdoi:10.1007/978-1-4419-9782-1http://cds.cern.ch/record/1414085engvan der Laan, Mark JRose, SherriTargeted LearningInformation Transfer and ManagementThe statistics profession is at a unique point in history. The need for valid statistical tools is greater than ever; data sets are massive, often measuring hundreds of thousands of measurements for a single subject. The field is ready to move towards clear objective benchmarks under which tools can be evaluated. Targeted learning allows (1) the full generalization and utilization of cross-validation as an estimator selection tool so that the subjective choices made by humans are now made by the machine, and (2) targeting the fitting of the probability distribution of the data toward the targeSpringeroai:cds.cern.ch:14140852011 |
| spellingShingle | Information Transfer and Management van der Laan, Mark J Rose, Sherri Targeted Learning |
| title | Targeted Learning |
| title_full | Targeted Learning |
| title_fullStr | Targeted Learning |
| title_full_unstemmed | Targeted Learning |
| title_short | Targeted Learning |
| title_sort | targeted learning |
| topic | Information Transfer and Management |
| url | https://dx.doi.org/10.1007/978-1-4419-9782-1 http://cds.cern.ch/record/1414085 |
| work_keys_str_mv | AT vanderlaanmarkj targetedlearning AT rosesherri targetedlearning |