Tapio Elomaa

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)

Tapio Elomaa, Jaakko Hollmén, Heikki Mannila (Eds.): Discovery Science - 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings. Lecture Notes in Computer Science 6926, Springer 2011, isbn 978-3-642-24476-6

Tapio Elomaa, Matti Kääriäinen: An Analysis of Reduced Error Pruning. CoRR abs/1106.0668 (2011)

Tapio Elomaa, Jussi Kujala: Covering Analysis of the Greedy Algorithm for Partial Cover. Algorithms and Applications 2010: 102-113

Matti Saarela, Tapio Elomaa, Keijo Ruohonen: An Analysis of Relevance Vector Machine Regression. Advances in Machine Learning I 2010: 227-246

Tapio Elomaa, Heikki Mannila, Pekka Orponen (Eds.): Algorithms and Applications, Essays Dedicated to Esko Ukkonen on the Occasion of His 60th Birthday. Lecture Notes in Computer Science 6060, Springer 2010, isbn 978-3-642-12475-4

Jussi Kujala, Timo Aho, Tapio Elomaa: A Walk from 2-Norm SVM to 1-Norm SVM. ICDM 2009: 836-841

Jan Rauch, Zbigniew W. Ras, Petr Berka, Tapio Elomaa (Eds.): Foundations of Intelligent Systems, 18th International Symposium, ISMIS 2009, Prague, Czech Republic, September 14-17, 2009. Proceedings. Lecture Notes in Computer Science 5722, Springer 2009, isbn 978-3-642-04124-2

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)

Timo Aho, Tapio Elomaa, Jussi Kujala: Unsupervised Classifier Selection Based on Two-Sample Test. Discovery Science 2008: 28-39

Tapio Elomaa, Petri Lehtinen, Matti Saarela: Obtaining Low-Arity Discretizations from Online Data Streams. ISMIS 2008: 90-99

Tapio Elomaa, Petri Lehtinen: Maintaining Optimal Multi-way Splits for Numerical Attributes in Data Streams. PAKDD 2008: 544-553

Jussi Kujala, Tapio Elomaa: Ranking the Uniformity of Interval Pairs. ECML/PKDD (1) 2008: 640-655

Timo Aho, Tapio Elomaa, Jussi Kujala: Reducing Splaying by Taking Advantage of Working Sets. WEA 2008: 1-13

Jussi Kujala, Tapio Elomaa: Following the Perturbed Leader to Gamble at Multi-armed Bandits. ALT 2007: 166-180

Jussi Kujala, Tapio Elomaa: Improved Algorithms for Univariate Discretization of Continuous Features. PKDD 2007: 188-199

Heidi Koivistoinen, Minna Ruuska, Tapio Elomaa: A Voronoi Diagram Approach to Autonomous Clustering. Discovery Science 2006: 149-160

Jussi Kujala, Tapio Elomaa: Poketree: A Dynamically Competitive Data Structure with Good Worst-Case Performance. ISAAC 2006: 277-288

Tapio Elomaa, Jussi Kujala, Juho Rousu: Practical Approximation of Optimal Multivariate Discretization. ISMIS 2006: 612-621

Tapio Elomaa, Tuomo Malinen: On look-ahead and pathology in decision tree learning. J. Exp. Theor. Artif. Intell. 17(1-2): 19-33 (2005)

Jussi Kujala, Tapio Elomaa: On Following the Perturbed Leader in the Bandit Setting. ALT 2005: 371-385

Tapio Elomaa, Jussi Kujala, Juho Rousu: Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes. ECML 2005: 547-555

Tapio Elomaa, Heidi Koivistoinen: On Autonomous k-Means Clustering. ISMIS 2005: 228-236

Tapio Elomaa, Matti Kääriäinen: The Difficulty of Reduced Error Pruning of Leveled Branching Programs. Ann. Math. Artif. Intell. 41(1): 111-124 (2004)

Tapio Elomaa, Juho Rousu: Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates. Data Min. Knowl. Discov. 8(2): 97-126 (2004)

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)

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)

Tapio Elomaa, Juho Rousu: Necessary and Sufficient Pre-processing in Numerical Range Discretization. Knowl. Inf. Syst. 5(2): 162-182 (2003)

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)

Matti Kääriäinen, Tapio Elomaa: Rademacher Penalization over Decision Tree Prunings. ECML 2003: 193-204

Tapio Elomaa, Tuomo Malinen: On Lookahead Heuristics in Decision Tree Learning. ISMIS 2003: 445-453

Tapio Elomaa, Juho Rousu: On Decision Boundaries of Naïve Bayes in Continuous Domains. PKDD 2003: 144-155

Tapio Elomaa, Juho Rousu: Linear-Time Preprocessing in Optimal Numerical Range Partitioning. J. Intell. Inf. Syst. 18(1): 55-70 (2002)

Tapio Elomaa, Matti Kääriäinen: Progressive Rademacher Sampling. AAAI/IAAI 2002: 140-145

Tapio Elomaa, Matti Kääriäinen: The Difficulty of Reduced Error Pruning of Leveled Branching Programs. AMAI 2002

Tapio Elomaa, Jussi T. Lindgren: Experiments with Projection Learning. Discovery Science 2002: 127-140

Tapio Elomaa, Juho Rousu: Fast Minimum Training Error Discretization. ICML 2002: 131-138

Tapio Elomaa, Matti Kääriäinen: The Difficulty of Reduced Error Pruning of Leveled Branching Programs. ISAIM 2002

Tapio Elomaa: Partition-Refining Algorithms for Learning Finite State Automata. ISMIS 2002: 232-243

Tapio Elomaa, Heikki Mannila, Hannu Toivonen (Eds.): Machine Learning: ECML 2002, 13th European Conference on Machine Learning, Helsinki, Finland, August 19-23, 2002, Proceedings. Lecture Notes in Computer Science 2430, Springer 2002, isbn 3-540-44036-4

Tapio Elomaa, Heikki Mannila, Hannu Toivonen (Eds.): Principles of Data Mining and Knowledge Discovery, 6th European Conference, PKDD 2002, Helsinki, Finland, August 19-23, 2002, Proceedings. Lecture Notes in Computer Science 2431, Springer 2002, isbn 3-540-44037-2

Tapio Elomaa, Juho Rousu: On the Computational Complexity of Optimal Multisplitting. Fundam. Inform. 47(1-2): 35-52 (2001)

Tapio Elomaa, Matti Kääriäinen: An Analysis of Reduced Error Pruning. J. Artif. Intell. Res. (JAIR) 15: 163-187 (2001)

Tapio Elomaa, Matti Kääriäinen: On the Practice of Branching Program Boosting. ECML 2001: 133-144

Tapio Elomaa, Juho Rousu: Preprocessing Opportunities in Optimal Numerical Range Partitioning. ICDM 2001: 115-122

Ilkka Autio, Tapio Elomaa, Teemu Kurppa: Robot Landmark Learning with SVMs. SCAI 2001: 157-158

Tapio Elomaa, Juho Rousu: Generalizing Boundary Points. AAAI/IAAI 2000: 570-576

Tapio Elomaa, Juho Rousu: On the Complexity of Optimal Multisplitting. ISMIS 2000: 552-561

Tapio Elomaa, Juho Rousu: General and Efficient Multisplitting of Numerical Attributes. Machine Learning 36(3): 201-244 (1999)

Tapio Elomaa: The Biases of Decision Tree Pruning Strategies. IDA 1999: 63-74

Juho Rousu, Tapio Elomaa, Robert J. Aarts: Predicting the Speed of Beer Fermentation in Laboratory and Industrial Scale. IWANN (2) 1999: 893-901

Tapio Elomaa, Juho Rousu: Speeding Up the Search for Optimal Partitions. PKDD 1999: 89-97

Tapio Elomaa: A Review of How the Mind Works. AI Magazine 19(3): 135 (1998)

Tapio Elomaa, Juho Rousu: Postponing the Evaluation of Attributes with a High Number of Boundary Points. PKDD 1998: 221-229

Tapio Elomaa, Juho Rousu: Well-Behaved Evaluation Functions for Numerical Attributes. ISMIS 1997: 147-156

Tapio Elomaa, Juho Rousu: Efficient Multisplitting on Numerical Data. PKDD 1997: 178-188

Tapio Elomaa, Juho Rousu: On the Well-Behavedness of Important Attribute Evaluation Functions. SCAI 1997: 95-106

Tapio Elomaa, Niklas Holsti, Ilkka Hyvärinen: TELA: A Platform for Experimenting with Attribute-based Learning Programs. SCAI 1995: 392-395

Tapio Elomaa, Esko Ukkonen: A Geometric Approach to Feature Selection. ECML 1994: 351-354

Tapio Elomaa: In Defense of C4.5: Notes Learning One-Level Decision Trees. ICML 1994: 62-69