-
1
-
-
0003010182
-
Verification of forecasts expressed in terms of probability
-
Jan.
-
G.W. Brier, "Verification of forecasts expressed in terms of probability," Monthly Weather Review, vol. 78, no. 1, pp. 1-3, Jan. 1958.
-
(1958)
Monthly Weather Review
, vol.78
, Issue.1
, pp. 1-3
-
-
Brier, G.W.1
-
2
-
-
85012759845
-
An empirical evaluation of a randomized algorithm for probabilistic inference
-
M. Henrion, R.D. Shachter, L. Kanal, and J.F. Lemmer, eds., North Holland, Amsterdam
-
R.M. Chavez and G.F. Cooper, "An empirical evaluation of a randomized algorithm for probabilistic inference," Uncertainty in Artificial Intelligence 5, M. Henrion, R.D. Shachter, L. Kanal, and J.F. Lemmer, eds., North Holland, Amsterdam, pp. 191-208, 1990.
-
(1990)
Uncertainty in Artificial Intelligence 5
, pp. 191-208
-
-
Chavez, R.M.1
Cooper, G.F.2
-
3
-
-
84933530882
-
Approximating discrete probability distributions with dependence trees
-
May
-
C.K. Chow and C.N. Liu, "Approximating discrete probability distributions with dependence trees," IEEE Trans. Information Theory, vol. 14, no. 3, pp. 462-467, May 1968.
-
(1968)
IEEE Trans. Information Theory
, vol.14
, Issue.3
, pp. 462-467
-
-
Chow, C.K.1
Liu, C.N.2
-
4
-
-
0008526838
-
-
PhD dissertation, Stanford Univ., Palo Alto, Calif.
-
G.F. Cooper, "NESTOR: A computer-based medical diagnostic aid that integrates causal and probabilistic knowledge," PhD dissertation, Stanford Univ., Palo Alto, Calif., 1984.
-
(1984)
NESTOR: A Computer-based Medical Diagnostic Aid That Integrates Causal and Probabilistic Knowledge
-
-
Cooper, G.F.1
-
5
-
-
0025401005
-
The computational complexity of probabilistic inference using Bayesian belief networks
-
G.F. Cooper, "The computational complexity of probabilistic inference using Bayesian belief networks," Artificial Intelligence, vol. 42, pp. 393-405, 1990.
-
(1990)
Artificial Intelligence
, vol.42
, pp. 393-405
-
-
Cooper, G.F.1
-
7
-
-
84950454029
-
The well-calibrated Bayesian
-
A.P. Dawid, "The well-calibrated Bayesian," J. American Statistical Assoc., vol. 77, pp. 605-613, 1982.
-
(1982)
J. American Statistical Assoc.
, vol.77
, pp. 605-613
-
-
Dawid, A.P.1
-
8
-
-
0345643016
-
-
Final Report, SRI Projects 6415, SRI International, Menlo Park, Calif., Sept.
-
R.O. Duda, P.E. Hart, K. Konolige, and R. Reboh, "A computer-based consultant for mineral exploration," Final Report, SRI Projects 6415, SRI International, Menlo Park, Calif., Sept. 1979.
-
(1979)
A Computer-based Consultant for Mineral Exploration
-
-
Duda, R.O.1
Hart, P.E.2
Konolige, K.3
Reboh, R.4
-
9
-
-
0039223218
-
Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks
-
M. Henrion, R.D. Shachter, L. Kanal, and J.F. Lemmer, eds., North Holland, Amsterdam
-
R. Fung and K. Chang, "Weighing and Integrating Evidence for Stochastic Simulation in Bayesian Networks," Uncertainty in Artificial Intelligence 5, M. Henrion, R.D. Shachter, L. Kanal, and J.F. Lemmer, eds., North Holland, Amsterdam, pp. 209-220, 1990.
-
(1990)
Uncertainty in Artificial Intelligence 5
, pp. 209-220
-
-
Fung, R.1
Chang, K.2
-
10
-
-
0000558731
-
Rational Decisions
-
I.J. Good, "Rational Decisions," J. Royal Statistical Society, Ser. B, vol. 14, pp. 107-114, 1952.
-
(1952)
J. Royal Statistical Society, Ser. B
, vol.14
, pp. 107-114
-
-
Good, I.J.1
-
11
-
-
85012775611
-
Propagating uncertainty in Bayesian networks by probabilistic logic sampling
-
J.F. Lemmer and L. Kanal, eds., North Holland, Amsterdam
-
M. Henrion, "Propagating uncertainty in Bayesian networks by probabilistic logic sampling," Uncertainty in Artificial Intelligence 2, J.F. Lemmer and L. Kanal, eds., North Holland, Amsterdam, pp. 149-164, 1988.
-
(1988)
Uncertainty in Artificial Intelligence 2
, pp. 149-164
-
-
Henrion, M.1
-
12
-
-
0012062308
-
Kutato: An entropy-driven system for construction of probabilistic expert systems from databases
-
P.P. Bonnisone, M. Henrion, L.N. Kanal, and J.F. Lemmer, eds., North Holland, Amsterdam
-
E. Herskovitz and G.F. Cooper, "Kutato: An entropy-driven system for construction of probabilistic expert systems from databases," Uncertainty in Artificial Intelligence 6, P.P. Bonnisone, M. Henrion, L.N. Kanal, and J.F. Lemmer, eds., North Holland, Amsterdam, pp. 117-125, 1991.
-
(1991)
Uncertainty in Artificial Intelligence 6
, pp. 117-125
-
-
Herskovitz, E.1
Cooper, G.F.2
-
14
-
-
0020187981
-
On the rationale of maximum entropy methods
-
E.T. Jaynes, "On the rationale of maximum entropy methods," Proc. IEEE, vol. 70, no.9, pp. 939-952, 1982.
-
(1982)
Proc. IEEE
, vol.70
, Issue.9
, pp. 939-952
-
-
Jaynes, E.T.1
-
16
-
-
0001006209
-
Local computation with probabilities in graphical structures and their applications to expert systems
-
S.L. Lauritzen and D.J. Spiegelhalter, "Local computation with probabilities in graphical structures and their applications to expert systems," J. Royal Statistical Society B, vol. 50, no. 2, pp. 157-224, 1988.
-
(1988)
J. Royal Statistical Society B
, vol.50
, Issue.2
, pp. 157-224
-
-
Lauritzen, S.L.1
Spiegelhalter, D.J.2
-
17
-
-
0020276268
-
Reverend Bayes on inference engines: A distributed hierarchical approach
-
Pittsburgh
-
J. Pearl, "Reverend Bayes on inference engines: A distributed hierarchical approach," Proc. Nat'l Conf. in AI, Pittsburgh, pp. 133-136, 1982.
-
(1982)
Proc. Nat'l Conf. in AI
, pp. 133-136
-
-
Pearl, J.1
-
18
-
-
46149134436
-
Fusion, propagation, and structuring in belief networks
-
J. Pearl, "Fusion, propagation, and structuring in belief networks," Artificial Intelligence, vol. 29, pp. 241-288, 1986.
-
(1986)
Artificial Intelligence
, vol.29
, pp. 241-288
-
-
Pearl, J.1
-
21
-
-
33744584654
-
Induction of decision trees
-
J.R. Quinlan, "Induction of decision trees," Machine Learning, vol. 1, pp. 81-106, 1986.
-
(1986)
Machine Learning
, vol.1
, pp. 81-106
-
-
Quinlan, J.R.1
-
23
-
-
0012842295
-
The recovery of causal polytrees from statistical data
-
Seattle
-
G. Rebane and J. Pearl, "The recovery of causal polytrees from statistical data," Proc. Third Workshop Uncertainty in AI, Seattle, pp. 222-228, 1987.
-
(1987)
Proc. Third Workshop Uncertainty in AI
, pp. 222-228
-
-
Rebane, G.1
Pearl, J.2
-
25
-
-
30244544924
-
Belief states and the uses of evidence
-
T.B. Roby, "Belief states and the uses of evidence," Behavioral Science, vol. 10, pp. 255-270, 1965.
-
(1965)
Behavioral Science
, vol.10
, pp. 255-270
-
-
Roby, T.B.1
-
26
-
-
33747516689
-
-
Working Paper, Dept. Quantitative Business Analysis, Louisiana State Univ., Baton Rouge
-
S. Sarkar, H. Mendelson, and V.S. Storey, "Approximate representation of probabilistic data in expert systems," Working Paper, Dept. Quantitative Business Analysis, Louisiana State Univ., Baton Rouge, 1994.
-
(1994)
Approximate Representation of Probabilistic Data in Expert Systems
-
-
Sarkar, S.1
Mendelson, H.2
Storey, V.S.3
-
27
-
-
84950658032
-
Elicitation of personal probabilities and expectations
-
Dec.
-
L.J. Savage, "Elicitation of personal probabilities and expectations," J. American Statistical Assoc., vol. 66, no. 336, Dec. 1971.
-
(1971)
J. American Statistical Assoc.
, vol.66
, Issue.336
-
-
Savage, L.J.1
-
28
-
-
38249033640
-
Applying inductive learning to enhance knowledge-based expert systems
-
M.J. Shaw, "Applying inductive learning to enhance knowledge-based expert systems," Decision Support Systems, vol. 3, pp. 319-332, 1987.
-
(1987)
Decision Support Systems
, vol.3
, pp. 319-332
-
-
Shaw, M.J.1
-
29
-
-
85013513795
-
Simulation approaches to general probabilistic inference on belief networks
-
M. Henrion, R.D. Shachter, L. Kanal, and J.F. Lemmer, eds., North Holland, Amsterdam
-
R.D. Shachter and M. Peot, "Simulation approaches to general probabilistic inference on belief networks," Uncertainty in Artificial Intelligence 5, M. Henrion, R.D. Shachter, L. Kanal, and J.F. Lemmer, eds., North Holland, Amsterdam, pp. 221-231, 1990.
-
(1990)
Uncertainty in Artificial Intelligence 5
, pp. 221-231
-
-
Shachter, R.D.1
Peot, M.2
-
30
-
-
0026902042
-
An information theoretic approach to rule induction from databasesIEEE
-
P. Smyth and R.M. Goodman, "An information theoretic approach to rule induction from databases," IEEE Trans. Knowledge and Data Engineering, vol. 4, no. 4, pp. 301-316, 1992.
-
(1992)
Trans. Knowledge and Data Engineering
, vol.4
, Issue.4
, pp. 301-316
-
-
Smyth, P.1
Goodman, R.M.2
-
31
-
-
0016570245
-
Probability encoding in decision analysis
-
C.S. Spetzler and C.-A.S. Stael von Holstein, "Probability encoding in decision analysis," Management Science, vol. 22, no. 3, pp. 340-358, 1975.
-
(1975)
Management Science
, vol.22
, Issue.3
, pp. 340-358
-
-
Spetzler, C.S.1
Stael Von Holstein, C.-A.S.2
-
32
-
-
85012680398
-
Automated construction of sparse Bayesian networks from unstructured probabilistic models and domain information
-
North-Holland
-
S. Srinivas, S. Russell and A. Agogino, "Automated construction of sparse Bayesian networks from unstructured probabilistic models and domain information," Uncertainty in Artificial Intelligence 5, North-Holland, pp. 295-308, 1990.
-
(1990)
Uncertainty in Artificial Intelligence 5
, pp. 295-308
-
-
Srinivas, S.1
Russell, S.2
Agogino, A.3
-
34
-
-
0016264378
-
Judgement under uncertainty: Heuristics and biases
-
A. Tversky and D. Kahneman, "Judgement under uncertainty: heuristics and biases," Science, vol. 185, pp. 1,124-1,131, 1974.
-
(1974)
Science
, vol.185
-
-
Tversky, A.1
Kahneman, D.2
-
35
-
-
0004135457
-
Learning useful rules from inconclusive data
-
G. Piatetsky-Shapiro and W. J. Frawley, eds.
-
R. Uthurusamy, U.M. Fayyad, and S. Spangler, "Learning useful rules from inconclusive data," Knowledge Discovery in Databases, G. Piatetsky-Shapiro and W. J. Frawley, eds., pp. 141-157, 1991.
-
(1991)
Knowledge Discovery in Databases
, pp. 141-157
-
-
Uthurusamy, R.1
Fayyad, U.M.2
Spangler, S.3
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