{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T21:55:50Z","timestamp":1769550950860,"version":"3.49.0"},"reference-count":0,"publisher":"World Scientific Pub Co Pte Lt","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Artif. Intell. Tools"],"published-print":{"date-parts":[[1993,9]]},"abstract":"<jats:p> The Machine Learning Toolbox contains a set of ten Machine Learning algorithms, integrated with a common interface and common knowledge representation language. An essential component of the Toolbox is the Consultant, a knowledge-based system that advises novice users about which algorithm they could use for a particular application. <\/jats:p><jats:p> We show how the Consultant\u2019s architecture evolved, through its successive implementations, from a rigid rule-based expert system to a flexible information browsing system supporting user experimentation. In particular, we show how a task description can be elicited from the user in three different modes and exploited by several functions to provide advice and explanations at various levels of detail. <\/jats:p><jats:p> The system\u2019s output also increased in sophistication: initially limited to the recommendation of a suitable algorithm, it now includes detailed information about the algorithm and its usage, and will be extended to help the user interpret and improve the results of learning. <\/jats:p>","DOI":"10.1142\/s0218213093000163","type":"journal-article","created":{"date-parts":[[2004,11,23]],"date-time":"2004-11-23T03:29:30Z","timestamp":1101180570000},"page":"307-328","source":"Crossref","is-referenced-by-count":4,"title":["THE MACHINE LEARNING TOOLBOX CONSULTANT"],"prefix":"10.1142","volume":"02","author":[{"given":"NICOLAS","family":"GRANER","sequence":"first","affiliation":[{"name":"Department of Computing Science, University of Aberdeen, Aberdeen AB9 2UE Scotland, U.K."}]},{"given":"SUNIL","family":"SHARMA","sequence":"additional","affiliation":[{"name":"Department of Computing Science, University of Aberdeen, Aberdeen AB9 2UE Scotland, U.K."}]},{"given":"D.","family":"SLEEMAN","sequence":"additional","affiliation":[{"name":"Department of Computing Science, University of Aberdeen, Aberdeen AB9 2UE Scotland, U.K."}]},{"given":"MICHALIS","family":"RISSAKIS","sequence":"additional","affiliation":[{"name":"Department of Computing Science, University of Aberdeen, Aberdeen AB9 2UE Scotland, U.K."}]},{"given":"SUSAN","family":"CRAW","sequence":"additional","affiliation":[{"name":"Department of Computing Science, University of Aberdeen, Aberdeen AB9 2UE Scotland, U.K."}]},{"given":"CHRIS","family":"MOORE","sequence":"additional","affiliation":[{"name":"Advanced Information Processing Dept. Sowerby Research Centre British Aerospacce PLC FPC 267 P.O.Box 5 Filton Bristol, BS12 7QW, U.K."}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"container-title":["International Journal on Artificial Intelligence Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218213093000163","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,7]],"date-time":"2019-08-07T17:30:46Z","timestamp":1565199046000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218213093000163"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1993,9]]},"references-count":0,"journal-issue":{"issue":"03","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[1993,9]]}},"alternative-id":["10.1142\/S0218213093000163"],"URL":"https:\/\/doi.org\/10.1142\/s0218213093000163","relation":{},"ISSN":["0218-2130","1793-6349"],"issn-type":[{"value":"0218-2130","type":"print"},{"value":"1793-6349","type":"electronic"}],"subject":[],"published":{"date-parts":[[1993,9]]}}}