-
4
-
-
17144463341
-
Learning bayesian networks for clustering by means of constructive induction
-
J. M. Peña, J. A. Lozano and P. Larrañaga, "Learning Bayesian Networks for Clustering by Means of Constructive Induction", Pattern Recognition Letters 20 (1999) 1219-1230.
-
(1999)
Pattern Recognition Letters
, vol.20
, pp. 1219-1230
-
-
Peña, J.M.1
Lozano, J.A.2
Larrañaga, P.3
-
5
-
-
0033685826
-
An improved bayesian structural EM algorithm for learning bayesian networks for clustering
-
J. M. Peña, J. A. Lozano and P. Larrañaga, "An Improved Bayesian Structural EM Algorithm for Learning Bayesian Networks for Clustering", Pattern Recognition Letters 21 (2000) 779-786.
-
(2000)
Pattern Recognition Letters
, vol.21
, pp. 779-786
-
-
Peña, J.M.1
Lozano, J.A.2
Larrañaga, P.3
-
6
-
-
0036532762
-
Learning recursive bayesian multinets for data clustering by means of constructive induction
-
J. M. Peña, J. A. Lozano and P. Larrañaga, "Learning Recursive Bayesian Multinets for Data Clustering by Means of Constructive Induction", Machine Learning 47 (2002) 63-89.
-
(2002)
Machine Learning
, vol.47
, pp. 63-89
-
-
Peña, J.M.1
Lozano, J.A.2
Larrañaga, P.3
-
11
-
-
0033569406
-
Molecular classification of cancer: Glass discovery and class prediction by gene expression monitoring
-
T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield and E. S. Lander, "Molecular Classification of Cancer: Glass Discovery and Class Prediction by Gene Expression Monitoring", Science 286 (1999) 531-537.
-
(1999)
Science
, vol.286
, pp. 531-537
-
-
Golub, T.R.1
Slonim, D.K.2
Tamayo, P.3
Huard, C.4
Gaasenbeek, M.5
Mesirov, J.P.6
Coller, H.7
Loh, M.L.8
Downing, J.R.9
Caligiuri, M.A.10
Bloomfield, C.D.11
Lander, E.S.12
-
13
-
-
34249761849
-
Learning bayesian networks: The combination of knowledge and statistical data
-
D. Heckerman, D. Geiger and D. M. Chickering, "Learning Bayesian Networks: The Combination of Knowledge and Statistical Data", Machine Learning 20 (1995) 197-243.
-
(1995)
Machine Learning
, vol.20
, pp. 197-243
-
-
Heckerman, D.1
Geiger, D.2
Chickering, D.M.3
-
14
-
-
0042496103
-
Learning equivalence classes of bayesian-network structures
-
D. M. Chickering, "Learning Equivalence Classes of Bayesian-Network Structures", Journal of Machine Learning Research 2 (2002) 445-498.
-
(2002)
Journal of Machine Learning Research
, vol.2
, pp. 445-498
-
-
Chickering, D.M.1
-
15
-
-
0000120766
-
Estimating the Dimension of a model
-
G. Schwarz, "Estimating the Dimension of a Model", Annals of Statistics 6 (1978) 461-464.
-
(1978)
Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
20
-
-
0031215849
-
The Equation for response to selection and its use for prediction
-
H. Mühlenbein, "The Equation for Response to Selection and Its Use for Prediction", Evolutionary Computation 5 (1997) 303-346.
-
(1997)
Evolutionary Computation
, vol.5
, pp. 303-346
-
-
Mühlenbein, H.1
-
25
-
-
0033707946
-
Using bayesian networks to analyze expression data
-
N. Friedman, M. Linial, I. Nachman and D. Pe'er, "Using Bayesian Networks to Analyze Expression Data", Journal of Computational Biology 7 (2000) 601-620.
-
(2000)
Journal of Computational Biology
, vol.7
, pp. 601-620
-
-
Friedman, N.1
Linial, M.2
Nachman, I.3
Pe'er, D.4
-
29
-
-
0031381525
-
Wrappers for feature subset selection
-
R. Kohavi and G. H. John, "Wrappers for Feature Subset Selection", Artificial Intelligence 97 (1997) 273-324.
-
(1997)
Artificial Intelligence
, vol.97
, pp. 273-324
-
-
Kohavi, R.1
John, G.H.2
|