2008 | ||
---|---|---|
50 | EE | Stefan Mutter, Bernhard Pfahringer, Geoffrey Holmes: Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis. Australasian Conference on Artificial Intelligence 2008: 278-288 |
49 | EE | Xing Wu, Geoffrey Holmes, Bernhard Pfahringer: Mining Arbitrarily Large Datasets Using Heuristic k-Nearest Neighbour Search. Australasian Conference on Artificial Intelligence 2008: 355-361 |
48 | EE | Jesse Read, Bernhard Pfahringer, Geoffrey Holmes: Multi-label Classification Using Ensembles of Pruned Sets. ICDM 2008: 995-1000 |
47 | EE | Joaquin Vanschoren, Hendrik Blockeel, Bernhard Pfahringer, Geoffrey Holmes: Organizing the World's Machine Learning Information. ISoLA 2008: 693-708 |
46 | EE | Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby: Handling Numeric Attributes in Hoeffding Trees. PAKDD 2008: 296-307 |
45 | EE | Grant Anderson, Bernhard Pfahringer: Exploiting Propositionalization Based on Random Relational Rules for Semi-supervised Learning. PAKDD 2008: 494-502 |
44 | EE | Joaquin Vanschoren, Bernhard Pfahringer, Geoffrey Holmes: Learning from the Past with Experiment Databases. PRICAI 2008: 485-496 |
2007 | ||
43 | EE | Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby: New Options for Hoeffding Trees. Australian Conference on Artificial Intelligence 2007: 90-99 |
42 | EE | Grant Anderson, Bernhard Pfahringer: Clustering Relational Data Based on Randomized Propositionalization. ILP 2007: 39-48 |
41 | EE | Bernhard Pfahringer, Claire Leschi, Peter Reutemann: Scaling Up Semi-supervised Learning: An Efficient and Effective LLGC Variant. PAKDD 2007: 236-247 |
2006 | ||
40 | EE | Kurt Driessens, Peter Reutemann, Bernhard Pfahringer, Claire Leschi: Using Weighted Nearest Neighbor to Benefit from Unlabeled Data. PAKDD 2006: 60-69 |
39 | EE | Eibe Frank, Bernhard Pfahringer: Improving on Bagging with Input Smearing. PAKDD 2006: 97-106 |
2005 | ||
38 | Stefan Kramer, Bernhard Pfahringer: Inductive Logic Programming, 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings Springer 2005 | |
37 | Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby: Cache Hierarchy Inspired Compression: a Novel Architecture for Data Streams. CITA 2005: 130-36 | |
36 | EE | Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer: Stress-Testing Hoeffding Trees. PKDD 2005: 495-502 |
35 | Eibe Frank, Mark A. Hall, Geoffrey Holmes, Richard Kirkby, Bernhard Pfahringer: WEKA - A Machine Learning Workbench for Data Mining. The Data Mining and Knowledge Discovery Handbook 2005: 1305-1314 | |
2004 | ||
34 | EE | Peter Reutemann, Bernhard Pfahringer, Eibe Frank: A Toolbox for Learning from Relational Data with Propositional and Multi-instance Learners. Australian Conference on Artificial Intelligence 2004: 1017-1023 |
33 | EE | Mi Li, Geoffrey Holmes, Bernhard Pfahringer: Clustering Large Datasets Using Cobweb and K-Means in Tandem. Australian Conference on Artificial Intelligence 2004: 368-379 |
32 | EE | Ashraf M. Kibriya, Eibe Frank, Bernhard Pfahringer, Geoffrey Holmes: Multinomial Naive Bayes for Text Categorization Revisited. Australian Conference on Artificial Intelligence 2004: 488-499 |
31 | EE | Hendrik Blockeel, Saso Dzeroski, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments In Predicting Biodegradability. Applied Artificial Intelligence 18(2): 157-181 (2004) |
30 | EE | Bernhard Pfahringer: The Weka solution to the 2004 KDD Cup. SIGKDD Explorations 6(2): 117-119 (2004) |
2003 | ||
29 | EE | Nils Weidmann, Eibe Frank, Bernhard Pfahringer: A Two-Level Learning Method for Generalized Multi-instance Problems. ECML 2003: 468-479 |
28 | EE | Maximilien Sauban, Bernhard Pfahringer: Text Categorisation Using Document Profiling. PKDD 2003: 411-422 |
27 | Eibe Frank, Mark Hall, Bernhard Pfahringer: Locally Weighted Naive Bayes. UAI 2003: 249-256 | |
2002 | ||
26 | EE | Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Eibe Frank, Mark Hall: Multiclass Alternating Decision Trees. ECML 2002: 161-172 |
25 | EE | Roger Clayton, John G. Cleary, Bernhard Pfahringer, Mark Utting: Tabling Structures for Bottom-Up Logic Programming. LOPSTR 2002: 50-51 |
2001 | ||
24 | EE | Bernhard Pfahringer, Geoffrey Holmes, Gabi Schmidberger: Wrapping Boosters against Noise. Australian Joint Conference on Artificial Intelligence 2001: 402-413 |
23 | EE | Bernhard Pfahringer, Geoffrey Holmes, Richard Kirkby: Optimizing the Induction of Alternating Decision Trees. PAKDD 2001: 477-487 |
22 | Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. Fundam. Inform. 47(1-2): 1-13 (2001) | |
2000 | ||
21 | Johannes Fürnkranz, Bernhard Pfahringer, Hermann Kaindl, Stefan Kramer: Learning to Use Operational Advice. ECAI 2000: 291-295 | |
20 | Bernhard Pfahringer, Hilan Bensusan, Christophe G. Giraud-Carrier: Meta-Learning by Landmarking Various Learning Algorithms. ICML 2000: 743-750 | |
19 | EE | Stefan Kramer, Gerhard Widmer, Bernhard Pfahringer, Michael de Groeve: Prediction of Ordinal Classes Using Regression Trees. ISMIS 2000: 426-434 |
18 | EE | Klaus Kovar, Johannes Fürnkranz, Johann Petrak, Bernhard Pfahringer, Robert Trappl, Gerhard Widmer: Searching for Patterns in Political Event Sequences: Experiments with the Keds Database. Cybernetics and Systems 31(6): 649-668 (2000) |
17 | EE | Bernhard Pfahringer: Winning the KDD99 Classification Cup: Bagged Boosting. SIGKDD Explorations 1(2): 65-66 (2000) |
1999 | ||
16 | EE | Saso Dzeroski, Hendrik Blockeel, Boris Kompare, Stefan Kramer, Bernhard Pfahringer, Wim Van Laer: Experiments in Predicting Biodegradability. ILP 1999: 80-91 |
1998 | ||
15 | Stefan Kramer, Bernhard Pfahringer, Christopher Helma: Stochastic Propositionalization of Non-determinate Background Knowledge. ILP 1998: 80-94 | |
14 | EE | Johannes Fürnkranz, Bernhard Pfahringer: Guest Editorial: First-Order Knowledge Discovery in Databases. Applied Artificial Intelligence 12(5): 345-361 (1998) |
1997 | ||
13 | Bernhard Pfahringer: Compression-Based Pruning of Decision Lists. ECML 1997: 199-212 | |
12 | Stefan Kramer, Bernhard Pfahringer, Christoph Helma: Mining for Causes of Cancer: Machine Learning Experiments at Various Levels of Detail. KDD 1997: 223-226 | |
1996 | ||
11 | Stefan Kramer, Bernhard Pfahringer: Efficient Search for Strong Partial Determinations. KDD 1996: 371-374 | |
1995 | ||
10 | Bernhard Pfahringer: A New MDL Measure for Robust Rule Induction (Extended Abstract). ECML 1995: 331-334 | |
9 | Bernhard Pfahringer: Compression-Based Discretization of Continuous Attributes. ICML 1995: 456-463 | |
8 | Bernhard Pfahringer, Stefan Kramer: Compression-Based Evaluation of Partial Determinations. KDD 1995: 234-239 | |
1994 | ||
7 | Bernhard Pfahringer: Controlling Constructive Induction in CIPF: An MDL Approach. ECML 1994: 242-256 | |
6 | Bernhard Pfahringer: Robust Constructive Induction. KI 1994: 118-129 | |
1992 | ||
5 | Bernhard Pfahringer: The Logical Way to Build a DL-based KR System. Description Logics 1992: 76-77 | |
1991 | ||
4 | Ernst Buchberger, Elizabeth Garner, Wolfgang Heinz, Johannes Matiasek, Bernhard Pfahringer: VIE-DU: Dialogue by Unification. ÖGAI 1991: 42-51 | |
1989 | ||
3 | Bernhard Pfahringer: Extending Explanation-Based Generalization. ÖGAI 1989: 149-153 | |
1988 | ||
2 | Bernhard Pfahringer, M. Hoberstorfer, Robert Trappl: A decision support system for village health workers in developing countries. Applied Artificial Intelligence 2(1): 47-63 (1988) | |
1985 | ||
1 | Bernhard Pfahringer, Christian Holzbaur: VIE-KET: Frames + Prolog. ÖGAI 1985: 132-139 |