| 2011 | ||
|---|---|---|
| 60 | Tapio Elomaa, Jaakko Hollmén, Heikki Mannila: Discovery Science - 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings Springer 2011 | |
| 59 | Tapio Elomaa, Matti Kääriäinen: An Analysis of Reduced Error Pruning CoRR abs/1106.0668: (2011) | |
| 58 | Tapio Elomaa, Petr Berka, Jan Rauch: Special issue on data analysis methodologies for intelligent systems: guest editor's introduction. J. Intell. Inf. Syst. 37(3): 291-292 (2011) | |
| 2010 | ||
| 57 | Tapio Elomaa, Heikki Mannila, Pekka Orponen: Algorithms and Applications, Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday Springer 2010 | |
| 56 | Tapio Elomaa, Jussi Kujala: Covering Analysis of the Greedy Algorithm for Partial Cover. Algorithms and Applications 2010: 102-113 | |
| 55 | Matti Saarela, Tapio Elomaa, Keijo Ruohonen: An Analysis of Relevance Vector Machine Regression. Advances in Machine Learning I 2010: 227-246 | |
| 2009 | ||
| 54 | Jan Rauch, Zbigniew W. Ras, Petr Berka, Tapio Elomaa: Foundations of Intelligent Systems, 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009. Proceedings Springer 2009 | |
| 53 | Jussi Kujala, Timo Aho, Tapio Elomaa: A Walk from 2-Norm SVM to 1-Norm SVM. ICDM 2009: 836-841 | |
| 2008 | ||
| 52 | Timo Aho, Tapio Elomaa, Jussi Kujala: Unsupervised Classifier Selection Based on Two-Sample Test. Discovery Science 2008: 28-39 | |
| 51 | Jussi Kujala, Tapio Elomaa: Ranking the Uniformity of Interval Pairs. ECML/PKDD (1) 2008: 640-655 | |
| 50 | Tapio Elomaa, Petri Lehtinen, Matti Saarela: Obtaining Low-Arity Discretizations from Online Data Streams. ISMIS 2008: 90-99 | |
| 49 | Tapio Elomaa, Petri Lehtinen: Maintaining Optimal Multi-way Splits for Numerical Attributes in Data Streams. PAKDD 2008: 544-553 | |
| 48 | Timo Aho, Tapio Elomaa, Jussi Kujala: Reducing Splaying by Taking Advantage of Working Sets. WEA 2008: 1-13 | |
| 47 | Jussi 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 | ||
| 46 | Jussi Kujala, Tapio Elomaa: Following the Perturbed Leader to Gamble at Multi-armed Bandits. ALT 2007: 166-180 | |
| 45 | Jussi Kujala, Tapio Elomaa: Improved Algorithms for Univariate Discretization of Continuous Features. PKDD 2007: 188-199 | |
| 2006 | ||
| 44 | Heidi Koivistoinen, Minna Ruuska, Tapio Elomaa: A Voronoi Diagram Approach to Autonomous Clustering. Discovery Science 2006: 149-160 | |
| 43 | Jussi Kujala, Tapio Elomaa: Poketree: A Dynamically Competitive Data Structure with Good Worst-Case Performance. ISAAC 2006: 277-288 | |
| 42 | Tapio Elomaa, Jussi Kujala, Juho Rousu: Practical Approximation of Optimal Multivariate Discretization. ISMIS 2006: 612-621 | |
| 2005 | ||
| 41 | Jussi Kujala, Tapio Elomaa: On Following the Perturbed Leader in the Bandit Setting. ALT 2005: 371-385 | |
| 40 | Tapio Elomaa, Jussi Kujala, Juho Rousu: Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes. ECML 2005: 547-555 | |
| 39 | Tapio Elomaa, Heidi Koivistoinen: On Autonomous k-Means Clustering. ISMIS 2005: 228-236 | |
| 38 | Tapio Elomaa, Tuomo Malinen: On look-ahead and pathology in decision tree learning. J. Exp. Theor. Artif. Intell. 17(1-2): 19-33 (2005) | |
| 2004 | ||
| 37 | Tapio Elomaa, Matti Kääriäinen: The Difficulty of Reduced Error Pruning of Leveled Branching Programs. Ann. Math. Artif. Intell. 41(1): 111-124 (2004) | |
| 36 | Tapio Elomaa, Juho Rousu: Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates. Data Min. Knowl. Discov. 8(2): 97-126 (2004) | |
| 35 | Matti 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 | ||
| 34 | Matti Kääriäinen, Tapio Elomaa: Rademacher Penalization over Decision Tree Prunings. ECML 2003: 193-204 | |
| 33 | Tapio Elomaa, Tuomo Malinen: On Lookahead Heuristics in Decision Tree Learning. ISMIS 2003: 445-453 | |
| 32 | Tapio Elomaa, Juho Rousu: On Decision Boundaries of Naïve Bayes in Continuous Domains. PKDD 2003: 144-155 | |
| 31 | Richard 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) | |
| 30 | Tapio Elomaa, Juho Rousu: Necessary and Sufficient Pre-processing in Numerical Range Discretization. Knowl. Inf. Syst. 5(2): 162-182 (2003) | |
| 29 | Ilkka 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 | ||
| 28 | 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 | |
| 27 | 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 | |
| 26 | Tapio Elomaa, Matti Kääriäinen: Progressive Rademacher Sampling. AAAI/IAAI 2002: 140-145 | |
| 25 | Tapio Elomaa, Matti Kääriäinen: The Difficulty of Reduced Error Pruning of Leveled Branching Programs. AMAI 2002 | |
| 24 | Tapio Elomaa, Jussi T. Lindgren: Experiments with Projection Learning. Discovery Science 2002: 127-140 | |
| 23 | Tapio Elomaa, Juho Rousu: Fast Minimum Training Error Discretization. ICML 2002: 131-138 | |
| 22 | Tapio Elomaa, Matti Kääriäinen: The Difficulty of Reduced Error Pruning of Leveled Branching Programs. ISAIM 2002 | |
| 21 | Tapio 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 | ||
| 19 | Tapio Elomaa, Matti Kääriäinen: On the Practice of Branching Program Boosting. ECML 2001: 133-144 | |
| 18 | Tapio 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) | |
| 15 | Tapio 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 | |
| 13 | Tapio Elomaa, Juho Rousu: On the Complexity of Optimal Multisplitting. ISMIS 2000: 552-561 | |
| 1999 | ||
| 12 | Tapio 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 | |
| 1 | Robert J. Aarts | [11] |
| 2 | Timo Aho | [48] [52] [53] |
| 3 | Ilkka Autio | [17] [29] |
| 4 | Petr Berka | [54] [58] |
| 5 | Jaakko Hollmén | [60] |
| 6 | Niklas Holsti | [3] |
| 7 | Ilkka Hyvärinen | [3] |
| 8 | Matti Kääriäinen | [15] [19] [22] [25] [26] [31] [34] [35] [37] [59] |
| 9 | Heidi Koivistoinen | [39] [44] |
| 10 | Jussi Kujala | [40] [41] [42] [43] [45] [46] [47] [48] [51] [52] [53] [56] |
| 11 | Teemu Kurppa | [17] |
| 12 | Petri Lehtinen | [49] [50] |
| 13 | Jussi T. Lindgren | [24] |
| 14 | Tuomo Malinen | [33] [35] [38] |
| 15 | Heikki Mannila | [27] [28] [57] [60] |
| 16 | Richard Nock | [31] |
| 17 | Pekka Orponen | [57] |
| 18 | Zbigniew W. Ras | [54] |
| 19 | Jan Rauch | [54] [58] |
| 20 | Juho Rousu | [4] [5] [6] [8] [9] [10] [11] [13] [14] [16] [18] [20] [23] [30] [32] [36] [40] [42] |
| 21 | Keijo Ruohonen | [55] |
| 22 | Minna Ruuska | [44] |
| 23 | Matti Saarela | [50] [55] |
| 24 | Hannu Toivonen | [27] [28] |
| 25 | Esko Ukkonen | [2] |
Colors in the list of coauthors
Last update Fri May 25 01:42:58 2012 CET by the DBLP Team —
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