J. Testa, "The ISI Database: The Journal Selection Process," http://www.isinet.com/whatshot/essays/esay 9701.html.  Home/Search   Document Not in Database   Summary   Related Articles   Check

..... as the domain difficulty grows, without sacrificing speed. Introduction and motivation. Current machine learning approaches to the induction of concept definitions from examples fall mainly into two categories: divide and conquer and separate and conquer. Divide and conquer methods [11, 14] recursively partition the instance space until regions of roughly constant class membership are obtained. This approach has often worked well in practice, but is plagued by the splintering of the sample that it causes, resulting in decisions being made with less and less statistical support ....

....SCI are limited in the number of journals that they can index, because the indexing process requires manual effort, and corresponding economic reward. The justification for such selective indexing is that a relatively small number of journals accounts for the bulk of significant scientific results [11]. However, the fact that a small set of journals accounts for a large percentage of citations is probably partially due to information overload researchers may only read a small set of journals and miss significant results published elsewhere (it has been argued that the use of citation indices ....

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James Testa. The ISI database: The journal selection process, http://www.isinet.com/whatshot/ essays/esay9701.html, 1997.

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J. Testa, "The ISI Database: The Journal Selection Process," http://www.isinet.com/whatshot/essays/esay 9701.html.

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