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martinsewell.com (.pdf) definitions ‘ is a science of the artificial. the field's main objects of study are artifacts, specifically algorithms that improve their performance with experience.’ langley, 1996 ‘ is the study of computer algorithms that improve automatically through experience.’ mitchell, 1997 ‘ is programming computers to optimize a performance criterion using example data or past experience.’ alpaydin, 2004 ‘ is an area of artificial intelligence concerned with the development of techniques which allow computers to “learn”.’ wikipedia, 2005 ‘a field of ai concerned with programs that learn. it includes reinforcement learning and neural networks among many other fields.’ artificial intelligence faq, 2004 is an area of artificial intelligence concerned with the study of computer algorithms that improve automatically through experience. in practice, this involves creating programs that optimize a performance criterion through the analysis of data. sewell, 2006 due to the no free lunch theorems, within academia often consists of searching for data sets that show a novel algorithm in a favourable light. supervised learning unsupervised learning reinforcement learning pattern recognition feature selection model selection ensemble learning artificial neural networks support vector machines books alpaydin, ethem, 2004. introduction to . cambridge, ma: the mit press. bishop, christopher m., 2006. pattern recognition and . information science and statistics. new york: springer. langley, pat, 1996. elements of . san francisco, ca: morgan kaufmann. mitchell, tom m., 1997. . new york: mcgraw-hill. links wikipedia: category: wikipedia: google directory resources by david w. aha artificial neural networks (anns) support vector machines (svms) and statistics (theory) » all models of learning have flaws bibliography baldi, p., s. brunak and g.a. stolovitzky, 1998. bioinformatics: the approach. cambridge, mass.: mit press. [ cited by 340 ] blake, c.l. and c.j. merz, uci repository of databases, 1998. url http://www. ics. uci. edu/~ mlearn/mlrepository. html. [ cited by 215 ] blake, c.l. and c.j. merz, 1998. uci repository of databases [http://www. ics. uci. edu/mlearn/mlrepository. html]. irvine, ca: university of california, department of …. [ cited by 300 ] blake, c.l. and c.j. merz, 1998. uci repository of databases. university of california, irvine, dept. of information and …. [ cited by 831 ] blum, a. and p. langley, 1997. selection of relevant features and examples in . artificial intelligence. [ cited by 347 ] bradley, a.p., 1997. use of the area under the roc curve in the evaluation of algorithms . pattern recognition. [ cited by 175 ] cestnik, b., 1990. estimating probabilities: a crucial task in . ecai. [ cited by 175 ] dietterich, t.g. and f. draft, 1997. research: four current directions . ai magazine. [ cited by 326 ] dietterich, t.g., 2000. ensemble methods in . multiple classifier systems. [ cited by 294 ] frey, b.j., 1998. graphical models for and digital communication. cambridge, mass: the mit press. [ cited by 203 ] goldberg…, d.e., genetic algorithm in search, optimization and . reading. [ cited by 500 ] king, r.d., et al. , 1992. drug design by : the use of inductive logic programming to model the structure- … . proc natl acad sci us a. [ cited by 124 ] kohavi, r., d. sommerfield and j. dougherty, 1996. data mining using mlc++: a library in c++ . proceedings of the 8th international conference on tools …. [ cited by 173 ] langley, p. and m.b. morgan, 1994. elements of . print.google.com. [ cited by 258 ] merz, c.j., p.m. murphy and d.w. aha, 1996. uci repository of databases. irvine, ca: university of california, department of …. [ cited by 399 ] michalski, r.s., et al. , 1984. : an artificial intelligence approach. berlin; new york: springer verlag. [ cited by 193 ] michie, d., et al. , 1994. , neural and statistical classification. ellis horwood. [ cited by 756 ] mitchell, t.m. and t.m. mitchell, 1997. . phyto.annualreviews.org. [ cited by 3628 ] murphy, p.m. and d.w. aha, 1995. uci repository of databases. irvine, ca: university of california, department of …. [ cited by 523 ] nielsen, h., s. brunak and g. von, 1999. approaches for the prediction of signal peptides and other protein sorting signals . protein engineering. [ cited by 238 ] quinlan, j.r. and j.r. quinlan, 1993. c4.5: programs for . print.google.com. [ cited by 5317 ] samuel, a.l., 1995. some studies in using the game of checkers . computers & thought table of contents. [ cited by 415 ] sebastiani, f., 2002. in automated text categorization . acm computing surveys. [ cited by 553 ] weiss, s.m. and c.a. kulikowski, 1991. … and prediction methods from statistics, neural nets, , and expert systems. morgan kaufmann publishers inc. san francisco, ca, usa. [ cited by 693 ] witten, i.h., e. frank and i.h. witten, 1999. data mining: practical tools and techniques with java implementations . print.google.com. [ cited by 1344 ] webmaster:  martin sewell --

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Domain Name: MARTINSEWELL.COM
Registry Domain ID: 13687815_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.meshdigital.com
Registrar URL: http://www.domainbox.com
Updated Date: 2016-11-30T00:00:00Z
Creation Date: 1999-11-22T00:00:00Z
Registrar Registration Expiration Date: 2019-11-22T00:00:00Z
Registrar: MESH DIGITAL LIMITED
Registrar IANA ID: 1390
Registrar Abuse Contact Email: [email protected]
Registrar Abuse Contact Phone: +1.8779770099
Domain Status: clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
Domain Status: clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited
Domain Status: clientTransferProhibited https://icann.org/epp#clientTransferProhibited
Registry Registrant ID:
Registrant Name: Martin Sewell
Registrant Organization: Martin Sewell
Registrant Street: Flat 5
Registrant Street: 37-41 Gower Street
Registrant City: LONDON
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Registrant Postal Code: WC1E 6HH
Registrant Country: GB
Registrant Phone: +44.2075809262
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Admin Name: Martin Sewell
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  REGISTRAR MESH DIGITAL LIMITED

  REFERRER http://www.meshdigital.com

SERVERS

  SERVER com.whois-servers.net

  ARGS domain =martinsewell.com

  PORT 43

  SERVER whois.meshdigital.com

  ARGS martinsewell.com

  PORT 43

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DOMAIN

  NAME martinsewell.com

NSERVER

  NS.MAINNAMESERVER.COM 79.170.40.2

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STATUS
clientDeleteProhibited https://icann.org/epp#clientDeleteProhibited
clientTransferProhibited https://icann.org/epp#clientTransferProhibited
clientUpdateProhibited https://icann.org/epp#clientUpdateProhibited

  CHANGED 2016-11-30

  CREATED 1999-11-22

  EXPIRES 2020-11-22

  REGISTERED yes

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