-
2
-
-
4344578226
-
Bayesian networks for data mining
-
Heckerman D (1997) Bayesian networks for data mining. Data Mining Knowl Discov 1: 79-119.
-
(1997)
Data Mining Knowl Discov
, vol.1
, pp. 79-119
-
-
Heckerman, D.1
-
3
-
-
34249761849
-
Learning Bayesian networks: The combination of knowledge and statistical data
-
Heckerman D, Geiger D et al (1995) Learning Bayesian networks: the combination of knowledge and statistical data. Mach Learn 2: 197-243.
-
(1995)
Mach Learn
, vol.2
, pp. 197-243
-
-
Heckerman, D.1
Geiger, D.2
-
4
-
-
0031274383
-
Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data
-
Etxeberria R, Larrañaga P, Picaza JM (1997) Analysis of the behaviour of genetic algorithms when learning Bayesian network structure from data. Pattern Recognit Lett 18: 1269-1273.
-
(1997)
Pattern Recognit Lett
, vol.18
, pp. 1269-1273
-
-
Etxeberria, R.1
Larrañaga, P.2
Picaza, J.M.3
-
5
-
-
0008580731
-
Learning Bayesian belief networks based on the minimum description length principle: Basic properties
-
Suzuki J (1999) Learning Bayesian belief networks based on the minimum description length principle: basic properties. IEICE Trans Fundam Electron Commun Comput Sci E82-A: 2237-2245.
-
(1999)
IEICE Trans Fundam Electron Commun Comput Sci
, vol.E82-A
, pp. 2237-2245
-
-
Suzuki, J.1
-
6
-
-
0036567524
-
Learning Bayesian network from data: An information-theory based approached
-
Cheng J, Greiner R, Kelly J, Bell D, Liu W (2002) Learning Bayesian network from data: an information-theory based approached. Artif Intell 137: 43-90.
-
(2002)
Artif Intell
, vol.137
, pp. 43-90
-
-
Cheng, J.1
Greiner, R.2
Kelly, J.3
Bell, D.4
Liu, W.5
-
7
-
-
77954952440
-
-
Robinson RW (1977) Counting unlabeled acyclic digraphs. In: Little CHC (ed) Combinatorial mathematics. Springer Lecture Notes in Math., vol 622, pp 28-43.
-
-
-
-
8
-
-
77954951972
-
-
Chickering DM, Geiger D, Heckerman D (1994) Learning Bayesian networks is NP-hard. Microsoft Res., Redmond, WA, MSR-TR-94-17.
-
-
-
-
10
-
-
77954954784
-
-
Alcobé JR (2004) Incremental Hill-climbing search applied to Bayesian network structure learning. In: Proceedings of the 15th European Conference on Machine Learning, Pisa, Italy.
-
-
-
-
11
-
-
77954952923
-
-
Larrañaga P, Murga RH, Poza M, Kuijpers CMH (1995) Structure learning of Bayesian networks by hybrid genetic algorithms. In: Preliminary Papers of the Fifth International Workshop on Artificial Intelligence and Statistics, pp 310-316.
-
-
-
-
12
-
-
0030245966
-
Structure learning of Bayesian networks by genetical algorithms: A performance analysis of control parameters
-
Larrañaga P, Poza M, Yurramendi Y, Murga RH, Kuijpers CMH (1996) Structure learning of Bayesian networks by genetical algorithms: a performance analysis of control parameters. IEEE Trans Pattern Anal Mach Intell 18: 912-926.
-
(1996)
IEEE Trans Pattern Anal Mach Intell
, vol.18
, pp. 912-926
-
-
Larrañaga, P.1
Poza, M.2
Yurramendi, Y.3
Murga, R.H.4
Kuijpers, C.M.H.5
-
13
-
-
0030192667
-
Learning Bayesian network structures by searching for best ordering with genetic algorithm
-
Larrañaga P, Kuijpers CMH, Murga RH, Yurramendi Y (1996) Learning Bayesian network structures by searching for best ordering with genetic algorithm. IEEE Trans Syst Man Cybernet 26(4): 487-493.
-
(1996)
IEEE Trans Syst Man Cybernet
, vol.26
, Issue.4
, pp. 487-493
-
-
Larrañaga, P.1
Kuijpers, C.M.H.2
Murga, R.H.3
Yurramendi, Y.4
-
14
-
-
0028482006
-
Learning Bayesian belief networks-an approach based on the MDL principle
-
Lam W, Bacchus F (1994) Learning Bayesian belief networks-an approach based on the MDL principle. Comput Intell 10: 269-293.
-
(1994)
Comput Intell
, vol.10
, pp. 269-293
-
-
Lam, W.1
Bacchus, F.2
-
15
-
-
0029535737
-
-
Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, Perth, pp 1942-1948.
-
-
-
-
16
-
-
51049116645
-
A new and improved version of particles warm optimization algorithm with global-local best parameters
-
Senthil Arumugam M, Rao MVC, Chandramohan A (2008) A new and improved version of particles warm optimization algorithm with global-local best parameters. Knowl Inform Syst 16(3): 331-357.
-
(2008)
Knowl Inform Syst
, vol.16
, Issue.3
, pp. 331-357
-
-
Senthil Arumugam, M.1
Rao, M.V.C.2
Chandramohan, A.3
-
18
-
-
0000423794
-
Optimization by simulated annealing
-
Kirkpatrick S, Gelatt CD, Vecchi MP (1983) Optimization by simulated annealing. Science 264(5163): 1297-1301.
-
(1983)
Science
, vol.264
, Issue.5163
, pp. 1297-1301
-
-
Kirkpatrick, S.1
Gelatt, C.D.2
Vecchi, M.P.3
-
20
-
-
33749599747
-
Research on learning Bayesian networks by particle swarm optimization
-
Heng X-C, Qin Z, Wang X-H, Shao L-P (2006) Research on learning Bayesian networks by particle swarm optimization. Inform Technol J 5(3): 540-545.
-
(2006)
Inform Technol J
, vol.5
, Issue.3
, pp. 540-545
-
-
Heng, X.-C.1
Qin, Z.2
Wang, X.-H.3
Shao, L.-P.4
-
21
-
-
34548852842
-
-
Heng X-C, Qin Z, Tian L, Shao L-P (2007) Learning bayesian network structures with discrete particle swarm optimization algorithm. FOCI 2007, pp 47-52.
-
-
-
-
22
-
-
34548756036
-
-
Heng X-C, Qin Z, Tian L, Shao L-P (2007) Research on structure learning of dynamic bayesian networks by particle swarm optimization. CI-ALife 2007, pp 85-91.
-
-
-
-
23
-
-
33751368805
-
-
Li X-L, Wang S-C, He X-D (2006) Learning Bayesian networks structures based on memory binary particle swarm optimization. SEAL 2006, LNCS 4247, pp 568-574.
-
-
-
-
24
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper GF, Herskovits EA (1992) A Bayesian method for the induction of probabilistic networks from data. Mach Learn 9: 309-347.
-
(1992)
Mach Learn
, vol.9
, pp. 309-347
-
-
Cooper, G.F.1
Herskovits, E.A.2
-
25
-
-
0031700696
-
-
Shi Y, Eberhart RC (1998) A modified particle swarm optimizer. Proc. IEEE Int. Conf. On Evolutionary Computation. Anchorage, AK, USA, pp. 69-73.
-
-
-
-
26
-
-
0031352450
-
-
Kennedy J, Eberhart RC (1997) A Discrete binary version of the particle swarm algorithm. In: Proceedings of IEEE conference on systems, man and cybernetics, pp 4104-4108.
-
-
-
-
27
-
-
33845523839
-
Feature selection based on rough sets and particle swarm optimization
-
Wang XY, Yang J, Teng XL, Xia WJ, Jensen R (2007) Feature selection based on rough sets and particle swarm optimization. Pattern Recognit Lett 28: 459-471.
-
(2007)
Pattern Recognit Lett
, vol.28
, pp. 459-471
-
-
Wang, X.Y.1
Yang, J.2
Teng, X.L.3
Xia, W.J.4
Jensen, R.5
-
28
-
-
77954952439
-
-
Beinlinch IA, Suermondt HJ, Chavez RM, and Cooper GF (1989) The ALARM Monitoring System: A Case Study with Two Probabilistic Inference Techniques for Belief Networks. In: Proceedings of the Second European Conf. Artificial Intelligence in Medicine, pp. 247-256.
-
-
-
-
29
-
-
85012775611
-
-
Henrion M (1988) Propagating uncertainty in Bayesian networks by logic sampling. In: Lemmar J, Kanal L (eds) Proceedings of the 2nd conference on uncertainty artificial intelligence, Amsterdam, pp 149-163.
-
-
-
-
30
-
-
77954958114
-
-
Herskovits E (1991) Computer based probabilistic-network construction. Doctoral dissertation. Medical Information Sciences, Stanford University.
-
-
-
-
31
-
-
0029517385
-
-
Kennedy J, Eberhart RC (1995) A new optimizer using particle swarm theory. In: Sixth international symposium on micro machine and human science, Nagoya, pp 39-43.
-
-
-
-
32
-
-
67649948102
-
Bayesian network based business information retrieval model
-
Wang Z, Wang Q, Wang D-W (2009) Bayesian network based business information retrieval model. Knowl Inform Syst 20(1): 63-79.
-
(2009)
Knowl Inform Syst
, vol.20
, Issue.1
, pp. 63-79
-
-
Wang, Z.1
Wang, Q.2
Wang, D.-W.3
-
33
-
-
77954951379
-
-
Kjaulff U (1992) A computational scheme for reasoning in dynamic probabilistic networks. In: Proceedings of the eighth conferebce on uncertainty in artificial intelligence, pp 121-129.
-
-
-
-
34
-
-
54049122306
-
Adaptive learning of dynamic Bayesian networks with changing structures by detecting geometric structures of time series
-
Wang KJ, Zhang JY, Shen FS, Shi LF (2008) Adaptive learning of dynamic Bayesian networks with changing structures by detecting geometric structures of time series. Knowl Inform Syst 17(1): 121-133.
-
(2008)
Knowl Inform Syst
, vol.17
, Issue.1
, pp. 121-133
-
-
Wang, K.J.1
Zhang, J.Y.2
Shen, F.S.3
Shi, L.F.4
|