Mitchell, T.M. #n.d.#. Does machine learning really work. Arti#cial Intelligence Magazine 18#3#, 11#20. Montana, D.J. #1995#. Strongly typed genetic programming. Evolutionary Computation 3#2#, 199#230.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....to those based on purely symbolic representations like rules and decision trees, have already been developed and applied to many problems in diverse areas. Over the past decade, machine learning has evolved from a field of laboratory demonstrations to a field of significant commercial value [ Mitchell, 1997b ] Machine learning algorithms have been deployed in heart disease diagnosis [ Detrano et al. 1989 ] in predicting glucose levels for diabetic patients [ Carson Fischer, 1990 ] in detecting credit card fraud [ Stolfo et al. 1997a ] in steering vehicles driving autonomously on public ....

Mitchell, T. M. 1997b. Does machine learning really work? AI Magazine 18(3):11--20.

....research issues Some of the issues discussed in this section are relevant to ILP only, whereas others are relevant to machine learning in general. Some of these issues have been pointed out as important already by Tom Mitchell in the article published in the Fall 1997 issue of the AI Magazine [42]. Analysis of comprehensibility. It is often claimed that for many applications comprehensibility is the main factor if the results of learning are to be accepted by the experts. Despite these claims and some initial investigations of intelligibility criteria for symbolic machine learning (such ....

T. Mitchell. Does machine learning really work? AI Magazine 18 (3): 11--20, 1997. 25

....extraction [Paice, 1990, Kupiec et al. 1995] In the case of summarization through sentence extraction, the target text has the additional property of being a subtext of the source text. Other techniques that can be broadly categorized as language reuse are learning relations from on line texts [Mitchell, 1997] and answering natural language questions using an on line encyclopedia [Kupiec, 1993] Kupiec s system, murax [Kupiec, 1993] is similar to ours from a di erent perspective. It extracts information from a text to serve directly in response to a user question. murax uses lexico syntactic patterns, ....

Tom M. Mitchell. Does machine learning really work? AI Magazine, 18(3), 1997.

....models to those based on purely symbolic representations like rules and decision trees, have already been developed and applied to many problems in diverse areas. Over the past decade, machine learning has evolved from a field of laboratory demonstrations to a field of significant commercial value [45]. Machine learning algorithms 1 have been deployed in heart disease diagnosis [61] in predicting glucose levels for diabetic patients [22] in detecting credit card fraud [65] in steering vehicles driving autonomously on public highways at 70 miles an hour [50] in predicting stock option ....

T. M. Mitchell. Does machine learning really work? AI Magazine, 18(3):11--20, 1997.

....extraction [Paice, 1990, Kupiec et al. 1995] In the case of summarization through sentence extraction, the target text has the additional property of being a subtext of the source text. Other techniques that can be broadly categorized as language reuse are learning relations from on line texts [Mitchell, 1997] and answering natural language questions using an on line encyclopedia [Kupiec, 1993] Kupiec s system, murax [Kupiec, 1993] is similar to ours from a di#erent perspective. It extracts information from a text to serve directly in response to a user question. murax uses lexico syntactic patterns, ....

Tom M. Mitchell. Does machine learning really work? AI Magazine, 18(3), 1997.

.... apply various machine learning algorithms to discover patterns exhibited in the data and compute descriptive representations (also called classifiers or models) Over the past decade, machine learning has evolved from a field of laboratory demonstrations to a field of significant commercial value [22]. Machine learning algorithms have been deployed in heart disease diagnosis [29] in predicting glucose levels for diabetic patients [12] in detecting credit card fraud [30] in steering vehicles driving autonomously on public highways at 70 miles an hour [24] in predicting stock option pricing ....

Tom M. Mitchell. Does machine learning really work? AI Magazine, 18(3):11--20, 1997.

....research issues Some of the issues discussed in this section are relevant to ILP only, whereas others are relevant to machine learning in general. Some of these issues have been pointed out as important already by Tom Mitchell in the article published in the Fall 1997 issue of the AI Magazine [32]. Analysis of comprehensibility. It is often claimed that for many applications comprehensibility is the main factor if the results of learning are to be accepted by the experts. Despite these claims and some initial investigations of intelligibility criteria for symbolic machine learning (such ....

T. Mitchell. Does machine learning really work? AI Magazine 18 (3): 11--20, 1997.

....a concept description or a classifier, that is later used to predict a value of the desired attribute for some record whose desired attribute value is unknown. Over the past decade, machine learning has evolved from a field of laboratory demonstrations to a field of significant commercial value [31]. Machine learning algorithms have been deployed in heart disease diagnosis [39] in predicting glucose levels for diabetic patients [17] in detecting credit card fraud [41] in steering vehicles driving autonomously on public highways at 70 miles an hour [33] in predicting stock option pricing ....

Tom M. Mitchell. Does machine learning really work? AI Magazine, 18(3):11--20, 1997.

....data and compute descriptive representations (also called classifiers or models) that can be subsequently used for a variety of strategic and tactical purposes. Over the past decade, machine learning has evolved from a field of laboratory demonstrations to a field of significant commercial value (Mitchell 1997). Machinelearning algorithms have been deployed in heart disease diagnosis (R.Detrano et al. 1989) and, in predicting glucose levels for diabetics (E.R.Carson U.Fischer 1990) in detecting credit card fraud (Stolfo et al. 1997a) in steering vehicles driving autonomously on highways at 70 ....

Mitchell, T. M. 1997. Does machine learning really work? AI Magazine 18(3):11--20.

....models to those based on purely symbolic representations like rules and decision trees, have already been developed and applied to many problems in diverse areas. Over the past decade, machine learning has evolved from a field of laboratory demonstrations to a field of significant commercial value [39]. Machine learning algorithms have been deployed in heart disease diagnosis [53] in predicting glucose levels for diabetic patients [20] in detecting credit card fraud [57] in steering vehicles driving autonomously on public highways at 70 miles an hour [43] in predicting stock option pricing ....

Tom M. Mitchell. Does machine learning really work? AI Magazine, 18(3):11--20, 1997.

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Mitchell, T.M. #n.d.#. Does machine learning really work. Arti#cial Intelligence Magazine 18#3#, 11#20. Montana, D.J. #1995#. Strongly typed genetic programming. Evolutionary Computation 3#2#, 199#230.

No context found.

Mitchell TM. Does machine learning really work? AI Mag 1997;18:11--20.

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Tom M. Mitchell. 1997. Does machine learning really work? AI Magazine, 18(3).

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