A. J. Feelders

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19EEA. J. Feelders, Robert van Straalen: Parameter Learning for Bayesian Networks with Strict Qualitative Influences. IDA 2007: 48-58
18EEA. J. Feelders, Jevgenijs Ivanovs: Discriminative Scoring of Bayesian Network Classifiers: a Comparative Study. Probabilistic Graphical Models 2006: 75-82
17EEA. J. Feelders, Linda C. van der Gaag: Learning Bayesian network parameters under order constraints. Int. J. Approx. Reasoning 42(1-2): 37-53 (2006)
16 A. Fazel Famili, Joost N. Kok, José María Peña, Arno Siebes, A. J. Feelders: Advances in Intelligent Data Analysis VI, 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings Springer 2005
15EEArno Siebes, Muhammad Subianto, A. J. Feelders: Instability of Classifiers on Categorical Data. ICDM 2005: 769-772
14EEEveline M. Helsper, Linda C. van der Gaag, A. J. Feelders, Willie Loeffen, Petra L. Geenen, Armin Elbers: Bringing order into bayesian-network construction. K-CAP 2005: 121-128
13EEA. J. Feelders, Linda C. van der Gaag: Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. UAI 2005: 193-200
12EEMichael Egmont-Petersen, A. J. Feelders, Bart Baesens: Confidence intervals for probabilistic network classifiers. Computational Statistics & Data Analysis 49(4): 998-1019 (2005)
11EELinda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders: Monotonicity in Bayesian Networks. UAI 2004: 569-576
10EEA. J. Feelders, Martijn Pardoel: Pruning for Monotone Classification Trees. IDA 2003: 1-12
9EERob Potharst, A. J. Feelders: Classification trees for problems with monotonicity constraints. SIGKDD Explorations 4(1): 1-10 (2002)
8EERobert Castelo, A. J. Feelders, Arno Siebes: MAMBO: Discovering Association Rules Based on Conditional Independencies. IDA 2001: 289-298
7EEA. J. Feelders: Prior Knowledge in Economic Applications of Data Mining. PKDD 2000: 395-400
6 A. J. Feelders: Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation. PKDD 1999: 329-334
5 A. J. Feelders, Soong Chang, Geoffrey J. McLachlan: Mining in the Presence of Selectivity Bias and its Application to Reject Inference. KDD 1998: 199-203
4EEJack P. C. Kleijnen, A. J. Feelders, Russell C. H. Cheng: Bootstrapping and Validation of Metamodels in Simulation. Winter Simulation Conference 1998: 701-705
3 A. J. Feelders: Data mining and related techniques. EUROSIM 1996: 521-527
2 A. J. Feelders: Learning from Biased Data Using Mixture Models. KDD 1996: 102-107
1 A. J. Feelders, A. J. F. le Loux, J. W. van't Zand: Data Mining for Loan Evaluation at ABN AMRO: A Case Study. KDD 1995: 106-111

Coauthor Index

1Bart Baesens [12]
2Hans L. Bodlaender [11]
3Robert Castelo [8]
4Soong Chang [5]
5Russell C. H. Cheng [4]
6Michael Egmont-Petersen [12]
7Armin Elbers [14]
8Fazel Famili (A. Fazel Famili) [16]
9Linda C. van der Gaag [11] [13] [14] [17]
10Petra L. Geenen [14]
11Eveline M. Helsper [14]
12Jevgenijs Ivanovs [18]
13Jack P. C. Kleijnen [4]
14Joost N. Kok [16]
15Willie Loeffen [14]
16A. J. F. le Loux [1]
17Geoffrey J. McLachlan [5]
18Martijn Pardoel [10]
19José María Peña [16]
20Rob Potharst [9]
21Arno Siebes [8] [15] [16]
22Robert van Straalen [19]
23Muhammad Subianto [15]
24J. W. van't Zand [1]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)