Richard E. Neapolitan

Scott B. Morris, Doug Cork, Richard E. Neapolitan: The Cognitive Processing of Causal Knowledge. CoRR abs/1302.1563 (2013)

Peter Che, Richard E. Neapolitan, James R. Kenevan, Martha W. Evens: An Implementation of a Method for Computing the Uncertainty in Inferred Probabilities in Belief Networks. CoRR abs/1303.1489 (2013)

Richard E. Neapolitan, James R. Kenevan: Investigation of Variances in Belief Networks. CoRR abs/1303.5733 (2013)

Richard E. Neapolitan, James R. Kenevan: Computation of Variances in Causal Networks. CoRR abs/1304.1105 (2013)

Richard E. Neapolitan, James R. Kenevan: Justifying the Principle of Interval Constraints. CoRR abs/1304.2369 (2013)

Richard E. Neapolitan, Kumarss Naimipour: Foundations of Algorithms (4. ed.). Jones and Bartlett 2011, isbn 978-0-7637-8250-4, pp. I-XV, 1-627

Xia Jiang, Richard E. Neapolitan, M. Michael Barmada, Shyam Visweswaran: Learning genetic epistasis using Bayesian network scoring criteria. BMC Bioinformatics 12: 89 (2011)

Soumen Chakrabarti, Earl Cox, Eibe Frank, Ralf Hartmut Güting, Jiawei Han, Xia Jiang, Micheline Kamber, Sam Lightstone, Thomas P. Nadeau, Richard E. Neapolitan, Dorian Pyle, Mamdouh Refaat, Markus Schneider, Toby J. Teorey, Ian H. Witten: Data Mining - Know It All. Morgan Kaufmann 2008, isbn 978-0-12-374629-0, pp. I-XIII, 1-460

Richard E. Neapolitan: A Polemic for Bayesian Statistics. Innovations in Bayesian Networks 2008: 7-32

Scott B. Morris, Doug Cork, Richard E. Neapolitan: Cognitive Processing of Causal Knowledge. UAI 1997: 384-391

Richard E. Neapolitan: Is higher-order uncertainty needed? IEEE Transactions on Systems, Man, and Cybernetics, Part A 26(3): 294-302 (1996)

Richard E. Neapolitan: The interpretation and application of belief functions. Applied Artificial Intelligence 7(2): 195-204 (1993)

Peter Che, Richard E. Neapolitan, James R. Kenevan, Martha W. Evens: An Implementation of a Method for Computing the Uncertainty in Inferred Probabilities in Belief Networks. UAI 1993: 292-300

Richard E. Neapolitan, James R. Kenevan: Investigation of Variances in Belief Networks. UAI 1991: 232-241

Richard E. Neapolitan: Probabilistic reasoning in expert systems - theory and algorithms. Wiley 1990, isbn 978-0-471-61840-9, pp. 1-433

Richard E. Neapolitan: Models for reasoning under uncertainty. Applied Artificial Intelligence 1(4): 337-367 (1987)

Richard E. Neapolitan: Models for reasoning under uncertainty (abstract). ACM Conference on Computer Science 1986: 460