-
2
-
-
33645423346
-
Learning Bayesian network by ant colony optimisation
-
De Campos, L.M., Gámez, J.A., Puerta, J.M.: Learning Bayesian network by ant colony optimisation. Mathware and Soft Computing, 251-268 (2002)
-
(2002)
Mathware and Soft Computing
, pp. 251-268
-
-
De Campos, L.M.1
Gámez, J.A.2
Puerta, J.M.3
-
5
-
-
0003846047
-
-
Advanced Technologies Division, Microsoft Corporation, Redmond, WA, Technical Report
-
Chickering, D., Geiger, M., Heckerman, D.: Learning Bayesian networks is NP-complete. Advanced Technologies Division, Microsoft Corporation, Redmond, WA, Technical Report (1994)
-
(1994)
Learning Bayesian Networks Is NP-complete
-
-
Chickering, D.1
Geiger, M.2
Heckerman, D.3
-
6
-
-
34249832377
-
A Bayesian method for the induction of probabilistic networks from data
-
Cooper, G.F., Herskovits, E.: A Bayesian method for the induction of probabilistic networks from data. Machine Learning Journal, 309-348 (1992)
-
(1992)
Machine Learning Journal
, pp. 309-348
-
-
Cooper, G.F.1
Herskovits, E.2
-
7
-
-
79959427276
-
Using ant colony optimization in learning Bayesian network equivalence classes
-
Daly, R., Shen, Q., Aitken, S.: Using ant colony optimization in learning Bayesian network equivalence classes. In: Proceedings of UKCI, pp. 111-118 (2006)
-
(2006)
Proceedings of UKCI
, pp. 111-118
-
-
Daly, R.1
Shen, Q.2
Aitken, S.3
-
8
-
-
68349117241
-
Learning Bayesian network equivalence classes with ant colony optimization
-
Daly, R., Shen, Q.: Learning Bayesian network equivalence classes with ant colony optimization. Journal of Artificial Intelligence Research, 391-447 (2009)
-
(2009)
Journal of Artificial Intelligence Research
, pp. 391-447
-
-
Daly, R.1
Shen, Q.2
-
10
-
-
0031276011
-
Bayesian Network Classifiers
-
Friedman, N., Geiger, D., Goldszmidt, M.: Bayesian Network Classifiers. Machine Learning Journal, 131-161 (1997)
-
(1997)
Machine Learning Journal
, pp. 131-161
-
-
Friedman, N.1
Geiger, D.2
Goldszmidt, M.3
-
11
-
-
0000220520
-
Learning Bayesian networks with local structure
-
Kluwer, Norwell
-
Friedman, N., Goldszmidt, M.: Learning Bayesian networks with local structure. Learning in Graphical Models, pp. 421-460. Kluwer, Norwell (1998)
-
(1998)
Learning in Graphical Models
, pp. 421-460
-
-
Friedman, N.1
Goldszmidt, M.2
-
12
-
-
34249761849
-
Learning Bayesian networks: The combination of knowledge and statistical data
-
Heckerman, D., Geiger, D., Chickering, D.M.: Learning Bayesian networks: the combination of knowledge and statistical data. Machine Learning Journal, 197-244 (1995)
-
(1995)
Machine Learning Journal
, pp. 197-244
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.M.3
-
13
-
-
34948865765
-
Classification with ant colony optimization
-
Martens, D., Backer, M.D., Haesen, R., Vanthienen, J., Snoeck, M., Baesens, B.: Classification with ant colony optimization. In: IEEE TEC, pp. 651-665 (2007)
-
(2007)
IEEE TEC
, pp. 651-665
-
-
Martens, D.1
Backer, M.D.2
Haesen, R.3
Vanthienen, J.4
Snoeck, M.5
Baesens, B.6
-
14
-
-
56449120614
-
CAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes
-
Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds.) ANTS 2008. Springer, Heidelberg
-
Otero, F.E.B., Freitas, A.A., Johnson, C.G.: cAnt-Miner: An Ant Colony Classification Algorithm to Cope with Continuous Attributes. In: Dorigo, M., Birattari, M., Blum, C., Clerc, M., Stützle, T., Winfield, A.F.T. (eds.) ANTS 2008. LNCS, vol. 5217, pp. 48-59. Springer, Heidelberg (2008)
-
(2008)
LNCS
, vol.5217
, pp. 48-59
-
-
Otero, F.E.B.1
Freitas, A.A.2
Johnson, C.G.3
-
15
-
-
0036670786
-
Data mining with an ant colony optimization algorithm
-
Parpinelli, R.S., Lopes, H.S., Freitas, A.: Data mining with an ant colony optimization algorithm. In: IEEE TEC, pp. 321-332 (2002)
-
(2002)
IEEE TEC
, pp. 321-332
-
-
Parpinelli, R.S.1
Lopes, H.S.2
Freitas, A.3
-
16
-
-
55749086795
-
Learning of Bayesian networks by a local discovery ant colony algorithm
-
Pinto, P.C., Nägele, A., Dejori, M., Runkler, T.A., Costa, J.M.: Learning of Bayesian networks by a local discovery ant colony algorithm. In: IEEE World Congress on Computational Intelligence, pp. 2741-2748 (2008)
-
(2008)
IEEE World Congress on Computational Intelligence
, pp. 2741-2748
-
-
Pinto, P.C.1
Nägele, A.2
Dejori, M.3
Runkler, T.A.4
Costa, J.M.5
-
17
-
-
69249179454
-
Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning
-
Pinto, P.C., Nägele, A., Dejori, M., Runkler, T.A., Costa, J.M.: Using a Local Discovery Ant Algorithm for Bayesian Network Structure Learning. In: IEEE TEC, pp. 767-779 (2009)
-
(2009)
IEEE TEC
, pp. 767-779
-
-
Pinto, P.C.1
Nägele, A.2
Dejori, M.3
Runkler, T.A.4
Costa, J.M.5
-
18
-
-
82355186008
-
Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm
-
Salama, K.M., Abdelbar, A.M., Freitas, A.A.: Multiple pheromone types and other extensions to the Ant-Miner classification rule discovery algorithm. Swarm Intelligence Journal, 149-182 (2011)
-
(2011)
Swarm Intelligence Journal
, pp. 149-182
-
-
Salama, K.M.1
Abdelbar, A.M.2
Freitas, A.A.3
-
21
-
-
79959397993
-
Two novel Ant Colony Optimization approaches for Bayesian network structure learning
-
Yanghui, W., McCall, J., Corne, D.: Two novel Ant Colony Optimization approaches for Bayesian network structure learning. In: IEEE World Congress on Evolutionary Computation, pp. 1-7 (2010)
-
(2010)
IEEE World Congress on Evolutionary Computation
, pp. 1-7
-
-
Yanghui, W.1
McCall, J.2
Corne, D.3
|