-
1
-
-
1642373967
-
Causal explorer: A causal probabilistic network learning toolkit for biomedical discovery
-
CSREA Press
-
Aliferis, C., Tsamardinos, I., Statnikov, A., Brown, L.: Causal explorer: A causal probabilistic network learning toolkit for biomedical discovery. In: Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, METMBS, Las Vegas, Nevada, USA, pp. 23-26. CSREA Press (2003)
-
(2003)
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, METMBS, Las Vegas, Nevada, USA
, pp. 23-26
-
-
Aliferis, C.1
Tsamardinos, I.2
Statnikov, A.3
Brown, L.4
-
2
-
-
35148828600
-
Nasopharyngeal carcinoma data analysis with a novel Bayesian network skeleton learning algorithm
-
Artificial Intelligence in Medicine - 11th Conference on Artificial Intelligence in Medicine, AIME 2007, Proceedings LNAI
-
Aussem, A., de Morais, S.R., Corbex, M.: Nasopharyngeal carcinoma data analysis with a novel Bayesian network skeleton learning. In: Bellazzi, R., Abu-Hanna, A., Hunter, J. (eds.) AIME 2007. LNCS (LNAI), vol. 4594, pp. 326-330. Springer, Heidelberg (2007) (Pubitemid 47545214)
-
(2007)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.4594
, pp. 326-330
-
-
Aussem, A.1
De Morais, S.R.2
Corbex, M.3
-
4
-
-
77958066899
-
Causal and non-causal feature selection for ridge regression
-
Cawley, G.: Causal and non-causal feature selection for ridge regression. In: JMLR: Workshop and Conference Proceedings, vol. 3 (2008)
-
(2008)
JMLR: Workshop and Conference Proceedings
, vol.3
-
-
Cawley, G.1
-
5
-
-
1442305691
-
-
ACM SIGKDD Explorations
-
Cheng, J., Hatzis, C., Hayashi, H., Krogel, M.A., Morishita, S., Page, D., Sese, J.: KDD Cup 2001 Report. In: ACM SIGKDD Explorations, pp. 1-18 (2002)
-
(2002)
KDD Cup 2001 Report
, pp. 1-18
-
-
Cheng, J.1
Hatzis, C.2
Hayashi, H.3
Krogel, M.A.4
Morishita, S.5
Page, D.6
Sese, J.7
-
6
-
-
0042496103
-
Learning equivalence classes of bayesian-network structures
-
Chickering, D.: Learning equivalence classes of bayesian-network structures. Ma-chine Learning 2, 445-498 (2002)
-
(2002)
Machine Learning
, vol.2
, pp. 445-498
-
-
Chickering, D.1
-
7
-
-
0002219642
-
Learning bayesian network structure from massive datasets: The "sparse candidate" algorithm
-
Laskey, K.B., Prade, H. (eds.) Morgan Kaufmann Publishers, San Francisco
-
Friedman, N.L., Nachman, I., Pe'er, D.: Learning bayesian network structure from massive datasets: the "sparse candidate" algorithm. In: Laskey, K.B., Prade, H. (eds.) Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence, pp. 21-30. Morgan Kaufmann Publishers, San Francisco (1999)
-
(1999)
Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence
, pp. 21-30
-
-
Friedman, N.L.1
Nachman, I.2
Pe'Er, D.3
-
8
-
-
44649114608
-
Tradeoff analysis of different Markov blanket local learning approaches
-
DOI 10.1007/978-3-540-68125-0-51, Advances in Knowledge Discovery and Data Mining - 12th Pacific-Asia Conference, PAKDD 2008, Proceedings LNAI
-
Fu, S., Desmarais, M.: Tradeoff analysis ofdifferent Markov blanket local learning approaches. In: Washio, T., Suzuki, E., Ting, K.M., Inokuchi, A. (eds.) PAKDD 2008. LNCS (LNAI), vol. 5012, pp. 562-571. Springer, Heidelberg (2008) (Pubitemid 351776348)
-
(2008)
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.5012
, pp. 562-571
-
-
Fu, S.1
Desmarais, M.C.2
-
9
-
-
77956412560
-
Design and analysis of the causation and prediction challenge
-
MIT Press, Boston
-
Guyon, I., Aliferis, C., Cooper, G., Elisseef, A., Pellet, J.P., Statnikov, P.A.: Design and analysis of the causation and prediction challenge. In: JMLR: Workshop and Conference Proceedings, vol. 1, pp. 1-16. MIT Press, Boston (2008)
-
(2008)
JMLR: Workshop and Conference Proceedings
, vol.1
, pp. 1-16
-
-
Guyon, I.1
Aliferis, C.2
Cooper, G.3
Elisseef, A.4
Pellet, J.P.5
Statnikov, P.A.6
-
11
-
-
34249931694
-
Towards scalable and data efficient learning of Markov boundaries
-
Peña, J.M., Nilsson, R., Bj̈orkegren, J., Tegńer, J.: Towards scalable and data ef-ficient learning of Markov boundaries. International Journal of Approximate Rea-soning 45(2), 211-232 (2007)
-
(2007)
International Journal of Approximate Rea-soning
, vol.45
, Issue.2
, pp. 211-232
-
-
Peña, J.M.1
Nilsson, R.2
Bj̈orkegren, J.3
Tegńer, J.4
-
14
-
-
47249137432
-
Learning gaussian graphical models ofgene networks with false discovery rate control
-
Marchiori, E., Moore, J.H. (eds.) Springer, Heidelberg
-
Peña, J.: Learning gaussian graphical models ofgene networks with false discovery rate control. In: Marchiori, E., Moore, J.H. (eds.) EvoBIO 2008. LNCS, vol. 4973, pp. 165-176. Springer, Heidelberg (2008)
-
(2008)
EvoBIO 2008. LNCS
, vol.4973
, pp. 165-176
-
-
Peña, J.1
-
15
-
-
56049103605
-
A novel scalable and data efficient feature subset selection algorithm
-
Daelemans, W., Goethals, B., Morik, K. (eds.) Springer, Heidelberg
-
Rodrigues de Morais, S., Aussem, A.: A novel scalable and data efficient feature subset selection algorithm. In: Daelemans, W., Goethals, B., Morik, K. (eds.) ECML PKDD 2008, Part II. LNCS (LNAI), vol. 5212, pp. 298-312. Springer, Heidelberg (2008)
-
(2008)
ECML PKDD 2008, Part II. LNCS (LNAI)
, vol.5212
, pp. 298-312
-
-
Rodrigues De Morais, S.1
Aussem, A.2
-
16
-
-
75749145760
-
A novel Markov boundary based feature subset selection algorithm
-
Rodrigues de Morais, S., Aussem, A.: A novel Markov boundary based feature subset selection algorithm. Neurocomputing 73, 578-584 (2010)
-
(2010)
Neurocomputing
, vol.73
, pp. 578-584
-
-
Rodrigues De Morais, S.1
Aussem, A.2
-
17
-
-
84887014299
-
Handling almost-deterministic relationships in constraint-based Bayesian network discovery: Application to can-cer risk factor identification
-
Rodrigues de Morais, S., Aussem, A., Corbex, M.: Handling almost-deterministic relationships in constraint-based Bayesian network discovery: Application to can-cer risk factor identification. In: 16th European Symposium on Artificial Neural Networks ESANN'08, pp. 101-106 (2008)
-
(2008)
16th European Symposium on Artificial Neural Networks ESANN'08
, pp. 101-106
-
-
Rodrigues De Morais, S.1
Aussem, A.2
Corbex, M.3
-
19
-
-
1642397083
-
Algorithms for large scale Markov blanket discovery
-
Tsamardinos, I., Aliferis, C.F., Statnikov, A.R.: Algorithms for large scale Markov blanket discovery. In: Florida Artificial Intelligence Research Society Conference FLAIRS'03, pp. 376-381 (2003)
-
(2003)
Florida Artificial Intelligence Research Society Conference FLAIRS'03
, pp. 376-381
-
-
Tsamardinos, I.1
Aliferis, C.F.2
Statnikov, A.R.3
-
20
-
-
33746035971
-
The max-min hill-climbing Bayesian network structure learning algorithm
-
Tsamardinos, I., Brown, L.E., Aliferis, C.F.: The max-min hill-climbing Bayesian network structure learning algorithm. Machine Learning 65(1), 31-78 (2006)
-
(2006)
Machine Learning
, vol.65
, Issue.1
, pp. 31-78
-
-
Tsamardinos, I.1
Brown, L.E.2
Aliferis, C.F.3
|