| Russel, S.J. The use of knowledge in analogy and induction. Pitman -- Morgan Kaufmann, 1989. |
....sets of examples, touch upon a broad spectrum of topics that have been investigated within the areas of databases, knowledge based systems, machine learning, agent based programming, and others. Though there are plenty of interrelationships among such topics, let us mention just a few of them. [Russel, 1989] has shown that determination rules (such as those used in example 6b) generalise the functional dependencies and extended multi valued dependencies considered in database theory [Ullman, 1980] though for integrity checking rather than for reasoning. Integrity constraints themselvas (like those ....
Russel, S.J. The use of knowledge in analogy and induction. Pitman -- Morgan Kaufmann, 1989.
....there are no needs to draw a difference between similarity and causality. In that case, causality is just one more similarity between source and target. On the contrary, causality is central to the generation of new analogies. As an illustration, consider the following analogy, proposed in (Russell, 1989). From nationality(Louis, France) nationality (Antoinette, France) native language(Louis, French) Russel (1989) finds by analogy that native language(Antoinette, French) Adding new information about Louis and Antoinette (we assume here that these characters are the royal couple sent to the ....
....similarity between source and target. On the contrary, causality is central to the generation of new analogies. As an illustration, consider the following analogy, proposed in (Russell, 1989) From nationality(Louis, France) nationality (Antoinette, France) native language(Louis, French) Russel (1989) finds by analogy that native language(Antoinette, French) Adding new information about Louis and Antoinette (we assume here that these characters are the royal couple sent to the guillotine during the French revolution, thus taking Antoinette for Marie Antoinette) like lives in(Louis, France) ....
Russel, S. J., The Use of Knowledge in Analogy and Induction, Pitamn, London, 1989.
....the analog for feature subset selection helpful. Moret (1982) defines redundant features and indispensable features for the discrete case. The definitions are similar to our notions of irrelevance and strong relevance, but do not coincide on some boundary cases. Determinations were introduced by Russel (1986; 1989) under a probabilistic setting, and used in a deterministic, non noisy setting in Schlimmer (1993) and may help analyze redundancies. In the machine learning literature, the most closely related work is FOCUS and Relief which we have described. The PRESet al..gorithm described in Modrzejewski ....
Russel, S. J. 1989. The Use of Knowledge in Analogy and Induction. Morgan Kaufmann.
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