-
1
-
-
0030095171
-
Hailfinder: A Bayesian system for forecasting severe weather
-
DOI 10.1016/0169-2070(95)00664-8
-
B Abramson, J Brown, W Edwards, A Murphy, and RL Winkler. Hailfinder: A Bayesian system for forecasting severe weather. International Journal of Forecasting, 12(1):57-71, 1996. (Pubitemid 126160223)
-
(1996)
International Journal of Forecasting
, vol.12
, Issue.1
, pp. 57-71
-
-
Abramson, B.1
Brown, J.2
Edwards, W.3
Murphy, A.4
Winkler, R.L.5
-
2
-
-
55549103698
-
KEEL: A software tool to assess evolutionary algorithms for data mining problems
-
J Alcalá-Fdez, L Sánchez, S García, M J Jesus, S Ventura, J M Garrell, J Otero, C Romero, J Bacardit, V M Rivas, J C Fernández, and F Herrera. KEEL: A software tool to assess evolutionary algorithms for data mining problems. Soft Computing, 13(3):307-318, 2009.
-
(2009)
Soft Computing
, vol.13
, Issue.3
, pp. 307-318
-
-
Alcalá-Fdez, J.1
Sánchez, L.2
García, S.3
Jesus, M.J.4
Ventura, S.5
Garrell, J.M.6
Otero, J.7
Romero, C.8
Bacardit, J.9
Rivas, V.M.10
Fernández, J.C.11
Herrera, F.12
-
3
-
-
76749122843
-
Local causal and Markov blanket induction for causal discovery and feature selection for classification part ii : Analysis and extensions
-
CF Aliferis, A Statnikov, I Tsamardinos, S Mani, and X Koutsoukos. Local causal and Markov blanket induction for causal discovery and feature selection for classification part ii : Analysis and extensions. Journal of Machine Learning Research, 11:235-284, 2010.
-
(2010)
Journal of Machine Learning Research
, vol.11
, pp. 235-284
-
-
Aliferis, C.F.1
Statnikov, A.2
Tsamardinos, I.3
Mani, S.4
Koutsoukos, X.5
-
5
-
-
33745407892
-
A comparison of citation metrics to machine learning filters for the identification of high quality medline documents
-
DOI 10.1197/jamia.M2031, PII S1067502706000533
-
Y Aphinyanaphongs, AR Statnikov, and CF Aliferis. A comparison of citation metrics to machine learning filters for the identification of high quality MEDLINE documents. JAMIA, 13(4):446-455, 2006. (Pubitemid 43947624)
-
(2006)
Journal of the American Medical Informatics Association
, vol.13
, Issue.4
, pp. 446-455
-
-
Aphinyanaphongs, Y.1
Statnikov, A.2
Aliferis, C.F.3
-
6
-
-
30244508525
-
Bounds on treatment effects from studies with imperfect compliance
-
A Balke and J Pearl. Bounds on treatment effects from studies with imperfect compliance. Journal of the American Statistical Association, 92(439):1172-1176, 1997.
-
(1997)
Journal of the American Statistical Association
, vol.92
, Issue.439
, pp. 1172-1176
-
-
Balke, A.1
Pearl, J.2
-
7
-
-
0002460150
-
The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks
-
Springer-Verlag, Berlin
-
IA Beinlich, HJ Suermondt, RM Chavez, and GF Cooper. The ALARM monitoring system: A case study with two probabilistic inference techniques for belief networks. In Second European Conference on Artificial Intelligence in Medicine, volume 38, pages 247-256. Springer-Verlag, Berlin, 1989.
-
(1989)
Second European Conference on Artificial Intelligence in Medicine
, vol.38
, pp. 247-256
-
-
Beinlich, I.A.1
Suermondt, H.J.2
Chavez, R.M.3
Cooper, G.F.4
-
8
-
-
0031273462
-
Adaptive probabilistic networks with hidden variables
-
J Binder, D Koller, S Russell, and K Kanazawa. Adaptive probabilistic networks with hidden variables. Machine Learning, 29, 1997.
-
(1997)
Machine Learning
, vol.29
-
-
Binder, J.1
Koller, D.2
Russell, S.3
Kanazawa, K.4
-
9
-
-
0033400675
-
Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables
-
DOI 10.1016/S0168-1699(99)00046-0, PII S0168169999000460
-
JA Blackard and DJ Dean. Comparative accuracies of artificial neural networks and discriminant analysis in predicting forest cover types from cartographic variables. Computers and Electronics in Agriculture, 24(3):131-151, 1999. (Pubitemid 30059342)
-
(1999)
Computers and Electronics in Agriculture
, vol.24
, Issue.3
, pp. 131-151
-
-
Blackard, J.A.1
Dean, D.J.2
-
10
-
-
84887070785
-
A constraint-based approach to incorporate prior knowledge in causal models
-
G Borboudakis, S Triantafillou, V Lagani, and I Tsamardinos. A constraint-based approach to incorporate prior knowledge in causal models. In Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2011.
-
(2011)
Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN
-
-
Borboudakis, G.1
Triantafillou, S.2
Lagani, V.3
Tsamardinos, I.4
-
13
-
-
2942581832
-
Conrads. High-resolution serum proteomic features for ovarian cancer detection
-
TP et al
-
TP et al. Conrads. High-resolution serum proteomic features for ovarian cancer detection. Endocrine-Related Cancer, 11(2):163-78, 2004.
-
(2004)
Endocrine-Related Cancer
, vol.11
, Issue.2
, pp. 163-178
-
-
-
15
-
-
72049084727
-
Modeling wine preferences by data mining from physicochemical properties
-
November. ISSN 01679236
-
P Cortez, Ao Cerdeira, F Almeida, T Matos, and J Reis. Modeling wine preferences by data mining from physicochemical properties. Decision Support Systems, 47(4):547-553, November 2009. ISSN 01679236.
-
(2009)
Decision Support Systems
, vol.47
, Issue.4
, pp. 547-553
-
-
Cortez, P.1
Ao Cerdeira2
Almeida, F.3
Matos, T.4
Reis, J.5
-
16
-
-
0034559859
-
An Estimate of the Covariance between Variables which are Not Jointly Observed
-
R Cudeck. An estimate of the covariance between variables which are not jointly observed. Psychometrika, 65(4):539-546, 2000. (Pubitemid 33222966)
-
(2000)
Psychometrika
, vol.65
, Issue.4
, pp. 539-546
-
-
Cudeck, R.1
-
17
-
-
70349671213
-
Predicting positive p53 cancer rescue regions using most informative positive (MIP) active learning
-
SA Danziger, R Baronio, L Ho, L Hall, K Salmon, GW Hatfield, P Kaiser, and RH Lathrop. Predicting positive p53 cancer rescue regions using most informative positive (MIP) active learning. PLoS Computational Biology, 5(9):12, 2009.
-
(2009)
PLoS Computational Biology
, vol.5
, Issue.9
, pp. 12
-
-
Danziger, S.A.1
Baronio, R.2
Ho, L.3
Hall, L.4
Salmon, K.5
Hatfield, G.W.6
Kaiser, P.7
Lathrop, R.H.8
-
19
-
-
46249104596
-
A sufficient condition for pooling data
-
February
-
F Eberhardt. A sufficient condition for pooling data. Synthese, 163(3):433-442, February 2008.
-
(2008)
Synthese
, vol.163
, Issue.3
, pp. 433-442
-
-
Eberhardt, F.1
-
20
-
-
84860698653
-
Combining experiments to discover linear cyclic models with latent variables
-
F Eberhardt, PO Hoyer, and R Scheines. Combining experiments to discover linear cyclic models with latent variables. In Proceedings of Artificial Intelligence anf Statistics 2010, volume 9, pages 185-192, 2010.
-
(2010)
Proceedings of Artificial Intelligence anf Statistics 2010
, vol.9
, pp. 185-192
-
-
Eberhardt, F.1
Hoyer, P.O.2
Scheines, R.3
-
22
-
-
0002386913
-
On the interpretation of c2 from contingency tables, and the calculation of p
-
RA Fisher. On the interpretation of c2 from contingency tables, and the calculation of p. Journal of the Royal Statistical Society, 85(1):87-94, 1922.
-
(1922)
Journal of the Royal Statistical Society
, vol.85
, Issue.1
, pp. 87-94
-
-
Fisher, R.A.1
-
24
-
-
40549119235
-
Integration of multi-scale biosimulation models via light-weight semantics
-
JH Gennari, ML Neal, BE Carlson, and DL Cook. Integration of multi-scale biosimulation models via light-weight semantics. Pacific Symposium On Biocomputing, 425:414-25, 2008.
-
(2008)
Pacific Symposium On Biocomputing
, vol.425
, pp. 414-425
-
-
Gennari, J.H.1
Neal, M.L.2
Carlson, B.E.3
Cook, D.L.4
-
27
-
-
33745891586
-
-
Springer-Verlag, Berlin, Germany
-
I Guyon, S Gunn, M Nikravesh, and L Zadeh. Feature Extraction, Foundations and Applications. Springer-Verlag, Berlin, Germany, 2006a.
-
(2006)
Feature Extraction, Foundations and Applications
-
-
Guyon, I.1
Gunn, S.2
Nikravesh, M.3
Zadeh, L.4
-
28
-
-
34247558363
-
Performance prediction challenge
-
1716305, International Joint Conference on Neural Networks 2006, IJCNN '06
-
I Guyon, A Saffari, G Dror, and J Buhmann. Performance prediction challenge. The 2006 IEEE International Joint Conference on Neural Network Proceedings, pages 1649-1656, 2006b. (Pubitemid 351369520)
-
(2006)
IEEE International Conference on Neural Networks - Conference Proceedings
, pp. 1649-1656
-
-
Guyon, I.1
Alamdari, A.R.S.A.2
Dror, G.3
Buhmann, J.M.4
-
34
-
-
69949166983
-
Estimating high-dimensional intervention effects from observational data
-
MH Maathuis, M Kalisch, and P Bühlmann. Estimating high-dimensional intervention effects from observational data. Annals of Statistics, 37:3133-3164, 2009.
-
(2009)
Annals of Statistics
, vol.37
, pp. 3133-3164
-
-
Maathuis, M.H.1
Kalisch, M.2
Bühlmann, P.3
-
35
-
-
77951641247
-
Predicting causal effects in large-scale systems from observational data
-
ISSN 15487105
-
MH Maathuis, D Colombo, M Kalisch, and P Bühlmann. Predicting causal effects in large-scale systems from observational data. Nature Methods, 7(4):247-248, 2010. ISSN 15487105.
-
(2010)
Nature Methods
, vol.7
, Issue.4
, pp. 247-248
-
-
Maathuis, M.H.1
Colombo, D.2
Kalisch, M.3
P Bühlmann4
-
36
-
-
85044705064
-
Causal discovery using a Bayesian local causal discovery algorithm
-
2004
-
S Mani and GF Cooper. Causal discovery using a Bayesian local causal discovery algorithm. Medinfo 2004, 11:731-735, 2004.
-
(2004)
Medinfo
, vol.11
, pp. 731-735
-
-
Mani, S.1
Cooper, G.F.2
-
38
-
-
0012725435
-
Statistical matching: A paradigm for assessing the uncertainty in the procedure
-
C Moriarity and F Scheuren. Statistical matching: A paradigm for assessing the uncertainty in the procedure. Journal of Official Statistics, 17:407-422, 2001.
-
(2001)
Journal of Official Statistics
, vol.17
, pp. 407-422
-
-
Moriarity, C.1
Scheuren, F.2
-
39
-
-
84860667648
-
-
Technical report, Clayton School of Information Technology, Monash University, Melbourne
-
RT O'Donnell, AE Nicholson, B. Han, KB Korb, MJ Alam, and LR Hope. Incorporating Expert Elicited Structural Information in the CaMML Causal Discovery Program. Technical report, Clayton School of Information Technology, Monash University, Melbourne, 2006.
-
(2006)
Incorporating Expert Elicited Structural Information in the CaMML Causal Discovery Program
-
-
O'Donnell R, T.1
Nicholson, A.E.2
Han, B.3
Korb, K.B.4
Alam, M.J.5
Hope, L.R.6
-
40
-
-
41649108328
-
An historical perspective on meta-analysis: Dealing quantitatively with varying study results
-
K O'Rourke. An historical perspective on meta-analysis: dealing quantitatively with varying study results. Journal of the Royal Society of Medicine, 100(12):579-582, 2007.
-
(2007)
Journal of the Royal Society of Medicine
, vol.100
, Issue.12
, pp. 579-582
-
-
O'Rourke, K.1
-
43
-
-
77649325496
-
Causal inference in statistics: An overview
-
J Pearl. Causal inference in statistics: An overview. Statistics Surveys, 3:96-146, 2009.
-
(2009)
Statistics Surveys
, vol.3
, pp. 96-146
-
-
Pearl, J.1
-
44
-
-
0001454867
-
On a criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can reasonably be supposed to have arisen from random sampling
-
K Pearson. On a criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can reasonably be supposed to have arisen from random sampling. Philosophical Magazine, 50(50):157-175, 1900.
-
(1900)
Philosophical Magazine
, vol.50
, Issue.50
, pp. 157-175
-
-
Pearson, K.1
-
47
-
-
0036392228
-
Ancestral graph Markov models
-
DOI 10.1214/aos/1031689015
-
T Richardson and P Spirtes. Ancestral graph markov models. The Annals of Statistics, 30(4): 962-1030, 2002. (Pubitemid 37095336)
-
(2002)
Annals of Statistics
, vol.30
, Issue.4
, pp. 962-1030
-
-
Richardson, T.1
Spirtes, P.2
-
48
-
-
0037142053
-
The use of molecular profiling to predict survival after chemotherapy for diffuse large-B-cell lymphoma
-
DOI 10.1056/NEJMoa012914
-
A Rosenwald et al. The use of molecular profiling to predict survival after chemotherapy for diffuse large-b-cell lymphoma. N Engl J Med, 346(25):1937-1947, 2002. (Pubitemid 34651353)
-
(2002)
New England Journal of Medicine
, vol.346
, Issue.25
, pp. 1937-1947
-
-
Rosenwald, A.1
Wright, G.2
Chan, W.C.3
Connors, J.M.4
Campo, E.5
Fisher, R.I.6
Gascoyne, R.D.7
Konrad Muller-Hermelink, H.8
Smeland, E.B.9
Giltnane, J.M.10
Hurt, E.M.11
Zhao, H.12
Averett, L.13
Yang, L.14
Wilson, W.H.15
Jaffe, E.S.16
Simon, R.17
Klausner, R.D.18
Powell, J.19
Duffey, P.L.20
Longo, D.L.21
Greiner, T.C.22
Weisenburger, D.D.23
Sanger, W.G.24
Dave, B.J.25
Lynch, J.C.26
Vose, J.27
Armitage, J.O.28
Montserrat, E.29
Lopez-Guillermo, A.30
Grogan, T.M.31
Miller, T.P.32
Leblanc, M.33
Ott, G.34
Kvaloy, S.35
Delabie, J.36
Holte, H.37
Krajci, P.38
Stokke, T.39
Staudt, L.M.40
more..
-
49
-
-
0001350683
-
Characterizing the estimation of parameters in incomplete-data problems
-
DG Rubin. Characterizing the estimation of parameters in incomplete-data problems. Journal of the American Statistical Association, 69:467-474, 1974.
-
(1974)
Journal of the American Statistical Association
, vol.69
, pp. 467-474
-
-
Rubin, D.G.1
-
50
-
-
17844388271
-
Combining information from multiple data sources to create multivariable risk models: Illustration and preliminary assessment of a new method
-
DOI 10.1155/JBB.2005.113
-
G Samsa, G Hu, and M Root. Combining information from multiple data sources to create multivariable risk models: Illustration and preliminary assessment of a new method. Journal of Biomedicine and Biotechnology, 2005(2):113-123, 2005. (Pubitemid 41627867)
-
(2005)
Journal of Biomedicine and Biotechnology
, vol.2005
, Issue.2
, pp. 113-123
-
-
Samsa, G.1
Hu, G.2
Root, M.3
-
51
-
-
33749326177
-
A linear non-gaussian acyclic model for causal discovery
-
S Shimizu, PO Hoyer, A Hyvärinen, and A Kerminen. A linear non-Gaussian acyclic model for causal discovery. Journal of Machine Learning Research, 7(2):2003-2030, 2006. (Pubitemid 44497456)
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2003-2030
-
-
Shimizu, S.1
Hoyer, P.O.2
Hyvarinen, A.3
Kerminen, A.4
-
52
-
-
79955829373
-
DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model
-
S Shimizu, T Inazumi, Y Sogawa, A Hyvarinen, Y Kawahara, T Washio, PO Hoyer, and K Bollen. DirectLiNGAM: A direct method for learning a linear non-Gaussian structural equation model. Journal of Machine Learning Research, 12:1225-1248, 2011.
-
(2011)
Journal of Machine Learning Research
, vol.12
, pp. 1225-1248
-
-
Shimizu, S.1
Inazumi, T.2
Sogawa, Y.3
Hyvarinen, A.4
Kawahara, Y.5
Washio, T.6
Hoyer, P.O.7
Bollen, K.8
-
53
-
-
33745498876
-
Revisiting the omitted variables argument: Substantive vs. statistical adequacy
-
DOI 10.1080/13501780600730687, PII G458225227112
-
A Spanos. Revisiting the omitted variables argument: Substantive vs. statistical adequacy. Journal of Economic Methodology, 13(2):179-218, 2006. (Pubitemid 43970609)
-
(2006)
Journal of Economic Methodology
, vol.13
, Issue.2
, pp. 179-218
-
-
Spanos, A.1
-
55
-
-
0003614273
-
-
The MIT Press, second edition, January
-
P Spirtes, C Glymour, and R Scheines. Causation, Prediction, and Search. The MIT Press, second edition, January 2001.
-
(2001)
Causation, Prediction, and Search
-
-
Spirtes, P.1
Glymour, C.2
Scheines, R.3
-
56
-
-
33749550611
-
Causal discovery from changes
-
J Tian and J Pearl. Causal Discovery from Changes. Proceedings of UAI, pages 512-521, 2001.
-
(2001)
Proceedings of UAI
, pp. 512-521
-
-
Tian, J.1
Pearl, J.2
-
61
-
-
77958036957
-
Permutation testing improves Bayesian network learning
-
I Tsamardinos and G Borboudakis. Permutation testing improves Bayesian network learning. In ECML PKDD, pages 322-337, 2010.
-
(2010)
ECML PKDD
, pp. 322-337
-
-
Tsamardinos, I.1
Borboudakis, G.2
-
63
-
-
77956700497
-
The possibility of integrative causal analysis: Learning from different datasets and studies
-
I Tsamardinos and S Triantafillou. The possibility of integrative causal analysis: Learning from different datasets and studies. Journal of Engineering Intelligent Systems, 17(2/3):163-175, 2009.
-
(2009)
Journal of Engineering Intelligent Systems
, vol.17
, Issue.2-3
, pp. 163-175
-
-
Tsamardinos, I.1
Triantafillou, S.2
-
64
-
-
33746035971
-
The max-min hill-climbing Bayesian network structure learning algorithm
-
DOI 10.1007/s10994-006-6889-7
-
I Tsamardinos, LE Brown, and CF Aliferis. The max-min hill-climbing Bayesian network structure learning algorithm. Machine Learning, 65(1):31-78, 2006. (Pubitemid 44451193)
-
(2006)
Machine Learning
, vol.65
, Issue.1
, pp. 31-78
-
-
Tsamardinos, I.1
Brown, L.E.2
Aliferis, C.F.3
-
66
-
-
55649097518
-
Statistical matching of multiple sources: A look through coherence
-
B Vantaggi. Statistical matching of multiple sources: A look through coherence. Int. J. Approx. Reasoning, 49(3):701-711, 2008.
-
(2008)
Int. J. Approx. Reasoning
, vol.49
, Issue.3
, pp. 701-711
-
-
Vantaggi, B.1
-
67
-
-
13844310310
-
Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer
-
DOI 10.1016/S0140-6736(05)17947-1
-
Y et al. Wang. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet, 365(9460):671-679, 2005. (Pubitemid 40260888)
-
(2005)
Lancet
, vol.365
, Issue.9460
, pp. 671-679
-
-
Wang, Y.1
Klijn, J.G.M.2
Zhang, Y.3
Sieuwerts, A.M.4
Look, M.P.5
Yang, F.6
Talantov, D.7
Timmermans, M.8
Meijer-Van Gelder, M.E.9
Yu, J.10
Jatkoe, T.11
Berns, E.M.J.J.12
Atkins, D.13
Foekens, J.A.14
-
68
-
-
34249774309
-
Reconstructing gene regulatory networks with Bayesian networks by combining expression data with multiple sources of prior knowledge
-
Article15
-
AV Werhli and D Husmeier. Reconstructing gene regulatory networks with Bayesian networks by combining expression data with multiple sources of prior knowledge. Statistical Applications in Genetics and Molecular Biology, 6(1):Article15, 2007.
-
(2007)
Statistical Applications in Genetics and Molecular Biology
, vol.6
, Issue.1
-
-
Werhli, A.V.1
Husmeier, D.2
-
70
-
-
52949097616
-
On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias
-
J Zhang. On the completeness of orientation rules for causal discovery in the presence of latent confounders and selection bias. Artificial Intelligence, 172(16-17):1873-1896, 2008.
-
(2008)
Artificial Intelligence
, vol.172
, Issue.16-17
, pp. 1873-1896
-
-
Zhang, J.1
-
71
-
-
67649948693
-
Synthesis analysis of regression models with a continuous outcome
-
XH Zhou, N Hu, G Hu, and M Root. Synthesis analysis of regression models with a continuous outcome. Statistics in Medicine, 28(11):1620-1635, 2009.
-
(2009)
Statistics in Medicine
, vol.28
, Issue.11
, pp. 1620-1635
-
-
Zhou, X.H.1
Hu, N.2
Hu, G.3
Root, M.4
-
72
-
-
22544461398
-
Bias in estimation and hypothesis testing of correlation
-
DW Zimmerman, BD Zumbo, and RH Williams. Bias in estimation and hypothesis testing of correlation. Psicoliogica, 24:133-158, 2003.
-
(2003)
Psicoliogica
, vol.24
, pp. 133-158
-
-
Zimmerman, D.W.1
Zumbo, B.D.2
Williams, R.H.3
|