A Heuristic Program that Constructs Decision Trees
Suppose there is a set of objects, {A, B,...E} and a set of tests, {T1, T2,...TN). When a test is applied to an object, the result is wither T or F. Assume the test may vary in cost and the object may vary in probability or occurrence. One then hopes that an unknown object may be identified by apply...
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Language: | en_US |
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2004
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Online Access: | http://hdl.handle.net/1721.1/6175 |
_version_ | 1811082965230288896 |
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author | Winston, Patrick |
author_facet | Winston, Patrick |
author_sort | Winston, Patrick |
collection | MIT |
description | Suppose there is a set of objects, {A, B,...E} and a set of tests, {T1, T2,...TN). When a test is applied to an object, the result is wither T or F. Assume the test may vary in cost and the object may vary in probability or occurrence. One then hopes that an unknown object may be identified by applying a sequence if tests. The appropriate test at any point in the sequence in general should depend on the results of previous tests. The problem is to construct a good test scheme using the test cost, the probabilities of occurrence, and a table of test outcomes. |
first_indexed | 2024-09-23T12:15:44Z |
id | mit-1721.1/6175 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T12:15:44Z |
publishDate | 2004 |
record_format | dspace |
spelling | mit-1721.1/61752019-04-12T08:29:27Z A Heuristic Program that Constructs Decision Trees Winston, Patrick Suppose there is a set of objects, {A, B,...E} and a set of tests, {T1, T2,...TN). When a test is applied to an object, the result is wither T or F. Assume the test may vary in cost and the object may vary in probability or occurrence. One then hopes that an unknown object may be identified by applying a sequence if tests. The appropriate test at any point in the sequence in general should depend on the results of previous tests. The problem is to construct a good test scheme using the test cost, the probabilities of occurrence, and a table of test outcomes. 2004-10-04T14:44:14Z 2004-10-04T14:44:14Z 1969-03-01 AIM-173 http://hdl.handle.net/1721.1/6175 en_US AIM-173 15630995 bytes 1075245 bytes application/postscript application/pdf application/postscript application/pdf |
spellingShingle | Winston, Patrick A Heuristic Program that Constructs Decision Trees |
title | A Heuristic Program that Constructs Decision Trees |
title_full | A Heuristic Program that Constructs Decision Trees |
title_fullStr | A Heuristic Program that Constructs Decision Trees |
title_full_unstemmed | A Heuristic Program that Constructs Decision Trees |
title_short | A Heuristic Program that Constructs Decision Trees |
title_sort | heuristic program that constructs decision trees |
url | http://hdl.handle.net/1721.1/6175 |
work_keys_str_mv | AT winstonpatrick aheuristicprogramthatconstructsdecisiontrees AT winstonpatrick heuristicprogramthatconstructsdecisiontrees |