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Tapio Elomaa

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2008
51EETimo Aho, Tapio Elomaa, Jussi Kujala: Unsupervised Classifier Selection Based on Two-Sample Test. Discovery Science 2008: 28-39
50EEJussi Kujala, Tapio Elomaa: Ranking the Uniformity of Interval Pairs. ECML/PKDD (1) 2008: 640-655
49EETapio Elomaa, Petri Lehtinen, Matti Saarela: Obtaining Low-Arity Discretizations from Online Data Streams. ISMIS 2008: 90-99
48EETapio Elomaa, Petri Lehtinen: Maintaining Optimal Multi-way Splits for Numerical Attributes in Data Streams. PAKDD 2008: 544-553
47EETimo Aho, Tapio Elomaa, Jussi Kujala: Reducing Splaying by Taking Advantage of Working Sets. WEA 2008: 1-13
46EEJussi Kujala, Tapio Elomaa: The cost of offline binary search tree algorithms and the complexity of the request sequence. Theor. Comput. Sci. 393(1-3): 231-239 (2008)
2007
45EEJussi Kujala, Tapio Elomaa: Following the Perturbed Leader to Gamble at Multi-armed Bandits. ALT 2007: 166-180
44EEJussi Kujala, Tapio Elomaa: Improved Algorithms for Univariate Discretization of Continuous Features. PKDD 2007: 188-199
2006
43EEHeidi Koivistoinen, Minna Ruuska, Tapio Elomaa: A Voronoi Diagram Approach to Autonomous Clustering. Discovery Science 2006: 149-160
42EEJussi Kujala, Tapio Elomaa: Poketree: A Dynamically Competitive Data Structure with Good Worst-Case Performance. ISAAC 2006: 277-288
41EETapio Elomaa, Jussi Kujala, Juho Rousu: Practical Approximation of Optimal Multivariate Discretization. ISMIS 2006: 612-621
2005
40EEJussi Kujala, Tapio Elomaa: On Following the Perturbed Leader in the Bandit Setting. ALT 2005: 371-385
39EETapio Elomaa, Jussi Kujala, Juho Rousu: Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes. ECML 2005: 547-555
38EETapio Elomaa, Heidi Koivistoinen: On Autonomous k-Means Clustering. ISMIS 2005: 228-236
37EETapio Elomaa, Tuomo Malinen: On look-ahead and pathology in decision tree learning. J. Exp. Theor. Artif. Intell. 17(1-2): 19-33 (2005)
2004
36EETapio Elomaa, Matti Kääriäinen: The Difficulty of Reduced Error Pruning of Leveled Branching Programs. Ann. Math. Artif. Intell. 41(1): 111-124 (2004)
35EETapio Elomaa, Juho Rousu: Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates. Data Min. Knowl. Discov. 8(2): 97-126 (2004)
34EEMatti Kääriäinen, Tuomo Malinen, Tapio Elomaa: Selective Rademacher Penalization and Reduced Error Pruning of Decision Trees. Journal of Machine Learning Research 5: 1107-1126 (2004)
2003
33EEMatti Kääriäinen, Tapio Elomaa: Rademacher Penalization over Decision Tree Prunings. ECML 2003: 193-204
32EETapio Elomaa, Tuomo Malinen: On Lookahead Heuristics in Decision Tree Learning. ISMIS 2003: 445-453
31EETapio Elomaa, Juho Rousu: On Decision Boundaries of Naïve Bayes in Continuous Domains. PKDD 2003: 144-155
30EERichard Nock, Tapio Elomaa, Matti Kääriäinen: Reduced Error Pruning of branching programs cannot be approximated to within a logarithmic factor. Inf. Process. Lett. 87(2): 73-78 (2003)
29EETapio Elomaa, Juho Rousu: Necessary and Sufficient Pre-processing in Numerical Range Discretization. Knowl. Inf. Syst. 5(2): 162-182 (2003)
28EEIlkka Autio, Tapio Elomaa: Flexible view recognition for indoor navigation based on Gabor filters and support vector machines. Pattern Recognition 36(12): 2769-2779 (2003)
2002
27 Tapio Elomaa, Heikki Mannila, Hannu Toivonen: Machine Learning: ECML 2002, 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002, Proceedings Springer 2002
26 Tapio Elomaa, Heikki Mannila, Hannu Toivonen: Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings Springer 2002
25 Tapio Elomaa, Matti Kääriäinen: Progressive Rademacher Sampling. AAAI/IAAI 2002: 140-145
24EETapio Elomaa, Matti Kääriäinen: The Difficulty of Reduced Error Pruning of Leveled Branching Programs. AMAI 2002
23EETapio Elomaa, Jussi T. Lindgren: Experiments with Projection Learning. Discovery Science 2002: 127-140
22 Tapio Elomaa, Juho Rousu: Fast Minimum Training Error Discretization. ICML 2002: 131-138
21EETapio Elomaa: Partition-Refining Algorithms for Learning Finite State Automata. ISMIS 2002: 232-243
20 Tapio Elomaa, Juho Rousu: Linear-Time Preprocessing in Optimal Numerical Range Partitioning. J. Intell. Inf. Syst. 18(1): 55-70 (2002)
2001
19EETapio Elomaa, Matti Kääriäinen: On the Practice of Branching Program Boosting. ECML 2001: 133-144
18EETapio Elomaa, Juho Rousu: Preprocessing Opportunities in Optimal Numerical Range Partitioning. ICDM 2001: 115-122
17 Ilkka Autio, Tapio Elomaa, Teemu Kurppa: Robot Landmark Learning with SVMs. SCAI 2001: 157-158
16 Tapio Elomaa, Juho Rousu: On the Computational Complexity of Optimal Multisplitting. Fundam. Inform. 47(1-2): 35-52 (2001)
15EETapio Elomaa, Matti Kääriäinen: An Analysis of Reduced Error Pruning. J. Artif. Intell. Res. (JAIR) 15: 163-187 (2001)
2000
14 Tapio Elomaa, Juho Rousu: Generalizing Boundary Points. AAAI/IAAI 2000: 570-576
13EETapio Elomaa, Juho Rousu: On the Complexity of Optimal Multisplitting. ISMIS 2000: 552-561
1999
12EETapio Elomaa: The Biases of Decision Tree Pruning Strategies. IDA 1999: 63-74
11 Juho Rousu, Tapio Elomaa, Robert J. Aarts: Predicting the Speed of Beer Fermentation in Laboratory and Industrial Scale. IWANN (2) 1999: 893-901
10 Tapio Elomaa, Juho Rousu: Speeding Up the Search for Optimal Partitions. PKDD 1999: 89-97
9 Tapio Elomaa, Juho Rousu: General and Efficient Multisplitting of Numerical Attributes. Machine Learning 36(3): 201-244 (1999)
1998
8 Tapio Elomaa, Juho Rousu: Postponing the Evaluation of Attributes with a High Number of Boundary Points. PKDD 1998: 221-229
7 Tapio Elomaa: A Review of How the Mind Works. AI Magazine 19(3): 135 (1998)
1997
6 Tapio Elomaa, Juho Rousu: Well-Behaved Evaluation Functions for Numerical Attributes. ISMIS 1997: 147-156
5 Tapio Elomaa, Juho Rousu: Efficient Multisplitting on Numerical Data. PKDD 1997: 178-188
4 Tapio Elomaa, Juho Rousu: On the Well-Behavedness of Important Attribute Evaluation Functions. SCAI 1997: 95-106
1995
3 Tapio Elomaa, Niklas Holsti, Ilkka Hyvärinen: TELA: A Platform for Experimenting with Attribute-based Learning Programs. SCAI 1995: 392-395
1994
2 Tapio Elomaa, Esko Ukkonen: A Geometric Approach to Feature Selection. ECML 1994: 351-354
1 Tapio Elomaa: In Defense of C4.5: Notes Learning One-Level Decision Trees. ICML 1994: 62-69

Coauthor Index

1Robert J. Aarts [11]
2Timo Aho [47] [51]
3Ilkka Autio [17] [28]
4Niklas Holsti [3]
5Ilkka Hyvärinen [3]
6Matti Kääriäinen [15] [19] [24] [25] [30] [33] [34] [36]
7Heidi Koivistoinen [38] [43]
8Jussi Kujala [39] [40] [41] [42] [44] [45] [46] [47] [50] [51]
9Teemu Kurppa [17]
10Petri Lehtinen [48] [49]
11Jussi T. Lindgren [23]
12Tuomo Malinen [32] [34] [37]
13Heikki Mannila [26] [27]
14Richard Nock [30]
15Juho Rousu [4] [5] [6] [8] [9] [10] [11] [13] [14] [16] [18] [20] [22] [29] [31] [35] [39] [41]
16Minna Ruuska [43]
17Matti Saarela [49]
18Hannu Toivonen [26] [27]
19Esko Ukkonen [2]

Colors in the list of coauthors

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