Richard Neapolitan: Difference between revisions
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Dr. Neapolitan has been invited to give lectures and conduct classes worldwide including the course ''Probabilistic Causality'' at the CEU Summer Institute in Budapest, Hungary; August, 2008<ref name="CEU">{{cite web|title=CEU Summer Institute|url=https://summeruniversity.ceu.edu/node/3770}}</ref>, the Google seminar ''Towards Pragmatic Statistics'' at Google Pittsburgh in 2009<ref>{{cite web|title=Collaborative Management of Talks|url=http://halley.exp.sis.pitt.edu/comet/presentColloquium.do?col_id=375}}</ref>, and the tutorial ''Learning Bayesian Networks'' at the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)<ref>{{cite web|title=Learning Bayesian Networks|url=http://videolectures.net/kdd07_neapolitan_lbn/|website=Videolectures.net}}</ref>, San Jose 2007]. Dawn Holmes interviewed Dr. Neapolitan for the Reasoner in July, 2008 to ascertain his views on the philosophy of science and statistics<ref>{{cite web|title=The Reasoner|url=https://www.kent.ac.uk/secl/researchcentres/reasoning/TheReasoner/vol2/TheReasoner-2(7)-screen.pdf}}</ref>. |
Dr. Neapolitan has been invited to give lectures and conduct classes worldwide including the course ''Probabilistic Causality'' at the CEU Summer Institute in Budapest, Hungary; August, 2008<ref name="CEU">{{cite web|title=CEU Summer Institute|url=https://summeruniversity.ceu.edu/node/3770}}</ref>, the Google seminar ''Towards Pragmatic Statistics'' at Google Pittsburgh in 2009<ref>{{cite web|title=Collaborative Management of Talks|url=http://halley.exp.sis.pitt.edu/comet/presentColloquium.do?col_id=375}}</ref>, and the tutorial ''Learning Bayesian Networks'' at the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)<ref>{{cite web|title=Learning Bayesian Networks|url=http://videolectures.net/kdd07_neapolitan_lbn/|website=Videolectures.net}}</ref>, San Jose 2007]. Dawn Holmes interviewed Dr. Neapolitan for the Reasoner in July, 2008 to ascertain his views on the philosophy of science and statistics<ref>{{cite web|title=The Reasoner|url=https://www.kent.ac.uk/secl/researchcentres/reasoning/TheReasoner/vol2/TheReasoner-2(7)-screen.pdf}}</ref>. |
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Richard Neapolitan's interests and contributions to science extend beyond mathematics and computer science. For example, in the area of philosophy of science he published the paper "A Limiting Frequency Approach to Probability Based on the Weak Law of Large Numbers." This paper extends the early work of Richard von Mises, which derived the rules of probability theory by assuming the relative frequency of occurrence of an event definitely converged to the probability. Dr. Neapolitan derived those rules by assuming convergence only in the sense of the weak law of large numbers. |
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Richard grew up in the 1950's and 1960's in Westchester, Illinois, which is a western suburb of Chicago. His cousin author [[Philip_Caputo|Phil Caputo]] grew up two blocks away. After graduating with a degree mathematics from the University of Illinois, Dr. Neapolitan had a diverse background before entering academia. In his 20's he worked as a male model in Los Angeles and played semi-professional baseball. However, after receiving his Ph.D. in mathematics he devoted his life to science. |
Richard grew up in the 1950's and 1960's in Westchester, Illinois, which is a western suburb of Chicago. His cousin author [[Philip_Caputo|Phil Caputo]] grew up two blocks away. After graduating with a degree mathematics from the University of Illinois, Dr. Neapolitan had a diverse background before entering academia. In his 20's he worked as a male model in Los Angeles and played semi-professional baseball. However, after receiving his Ph.D. in mathematics he devoted his life to science. |
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Comment: Still completely unreferenced? The Drover's Wife (talk) 09:10, 1 February 2018 (UTC)
- Comment: completely unreferenced SeraphWiki (talk) 02:39, 4 January 2018 (UTC)
Richard E. Neapolitan is professor emeritus of computer science at Northeastern Illinois University, professor of bioinformatics at Northwestern University, and president of Bayesian Network Solutions.
Dr. Neapolitan is most well-known for his role in establishing the field of Bayesian networks. In the 1980s, researchers from cognitive science (e.g., Judea Pearl), computer science (e.g., Peter Cheeseman and Lotfi Zadeh), decision analysis (e.g., Ross Shachter), medicine (e.g., David Heckerman and Gregory Cooper), mathematics and statistics (e.g., Richard Neapolitan and David Spiegelhalter) and philosophy (e.g., Henry Kyburg) met at the newly formed Workshop on Uncertainty in Artificial Intelligence (now a conference) to discuss how to best perform uncertain inference in artificial intelligence. Dr. Neapolitan's seminal text Probabilistic Reasoning in Expert Systems[1] integrated many of the results of these discussions into the field we now call Bayesian networks. Bayesian networks have arguably become the standard for handling uncertain inference in AI, and many AI applications have been developed using them[2].
In the 1990s researchers strived to develop methods that could learn Bayesian networks from data. Dr Neapolitan integrated these efforts in the 2004 text Learning Bayesian Networks[2]. Other Bayesian network books Dr. Neapolitan authored include Probabilistic Methods for Financial and Marketing Informatics[3], which applies Bayesian networks to problems in finance and marketing; and Probabilistic Methods for Bioinformatics[4], which applies Bayesian networks to problems in biology. Dr. Neapolitan wrote several books outside the field of Bayesian networks. He authored Foundations of Algorithms[5], which is one of the most widely used algorithms world wide, and which has been translated to Polish, Korean, and Chinese. Most recently, with Xia Jiang he authored Artificial Intelligence: With an Introduction to Machine Learning[6]. The book covers the five approaches to artificial intelligence which have been successfully applied to solving real world problems. They are the logical intelligence, probabilistic intelligence, emergent intelligence, neural intelligence, and language understanding.
Dr. Neapolitan has been invited to give lectures and conduct classes worldwide including the course Probabilistic Causality at the CEU Summer Institute in Budapest, Hungary; August, 2008[7], the Google seminar Towards Pragmatic Statistics at Google Pittsburgh in 2009[8], and the tutorial Learning Bayesian Networks at the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)[9], San Jose 2007]. Dawn Holmes interviewed Dr. Neapolitan for the Reasoner in July, 2008 to ascertain his views on the philosophy of science and statistics[10].
Richard Neapolitan's interests and contributions to science extend beyond mathematics and computer science. For example, in the area of philosophy of science he published the paper "A Limiting Frequency Approach to Probability Based on the Weak Law of Large Numbers." This paper extends the early work of Richard von Mises, which derived the rules of probability theory by assuming the relative frequency of occurrence of an event definitely converged to the probability. Dr. Neapolitan derived those rules by assuming convergence only in the sense of the weak law of large numbers.
Richard grew up in the 1950's and 1960's in Westchester, Illinois, which is a western suburb of Chicago. His cousin author Phil Caputo grew up two blocks away. After graduating with a degree mathematics from the University of Illinois, Dr. Neapolitan had a diverse background before entering academia. In his 20's he worked as a male model in Los Angeles and played semi-professional baseball. However, after receiving his Ph.D. in mathematics he devoted his life to science.
References
- ^ Neapolitan, Richard (1989). Probabilistic Reasoning in Expert Systems: Theory and Algorithms. Wiley. ISBN 978-0471618409.
- ^ a b Neapolitan, Richard (2004). Learning Bayesian Networks. Prentice Hall. ISBN 978-0130125347.
- ^ Neapolitan, Richard; Jiang, Xia (2007). Probabilistic Methods for Financial and Marketing Informatics. San Francisco, CA: Morgan Kaufmann. ISBN 978-0-12-370477-1.
- ^ Neapolitan, Richard (2009). Probabilistic Methods for Bioinformatics. San Francisco, CA: Morgan Kaufmann. ISBN 978-0-12-370476-4.
- ^ Neapolitan, Richard (2015). Foundations of Algorithms. Burlington, MA: Jones and Bartlett. ISBN 978-1-284-04919-0.
- ^ Neapolitan, Richard; Jiang, Xia (2018). Artificial Intelligence: With an Introduction to Machine Learning. Boca Raton, FL: CRC Press. ISBN 9781138502383.
- ^ "CEU Summer Institute".
- ^ "Collaborative Management of Talks".
- ^ "Learning Bayesian Networks". Videolectures.net.
- ^ "The Reasoner" (PDF).