| 2008 |
|---|
| 51 | EE | Timo Aho,
Tapio Elomaa,
Jussi Kujala:
Unsupervised Classifier Selection Based on Two-Sample Test.
Discovery Science 2008: 28-39 |
| 50 | EE | Jussi Kujala,
Tapio Elomaa:
Ranking the Uniformity of Interval Pairs.
ECML/PKDD (1) 2008: 640-655 |
| 49 | EE | Tapio Elomaa,
Petri Lehtinen,
Matti Saarela:
Obtaining Low-Arity Discretizations from Online Data Streams.
ISMIS 2008: 90-99 |
| 48 | EE | Tapio Elomaa,
Petri Lehtinen:
Maintaining Optimal Multi-way Splits for Numerical Attributes in Data Streams.
PAKDD 2008: 544-553 |
| 47 | EE | Timo Aho,
Tapio Elomaa,
Jussi Kujala:
Reducing Splaying by Taking Advantage of Working Sets.
WEA 2008: 1-13 |
| 46 | EE | 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 |
|---|
| 45 | EE | Jussi Kujala,
Tapio Elomaa:
Following the Perturbed Leader to Gamble at Multi-armed Bandits.
ALT 2007: 166-180 |
| 44 | EE | Jussi Kujala,
Tapio Elomaa:
Improved Algorithms for Univariate Discretization of Continuous Features.
PKDD 2007: 188-199 |
| 2006 |
|---|
| 43 | EE | Heidi Koivistoinen,
Minna Ruuska,
Tapio Elomaa:
A Voronoi Diagram Approach to Autonomous Clustering.
Discovery Science 2006: 149-160 |
| 42 | EE | Jussi Kujala,
Tapio Elomaa:
Poketree: A Dynamically Competitive Data Structure with Good Worst-Case Performance.
ISAAC 2006: 277-288 |
| 41 | EE | Tapio Elomaa,
Jussi Kujala,
Juho Rousu:
Practical Approximation of Optimal Multivariate Discretization.
ISMIS 2006: 612-621 |
| 2005 |
|---|
| 40 | EE | Jussi Kujala,
Tapio Elomaa:
On Following the Perturbed Leader in the Bandit Setting.
ALT 2005: 371-385 |
| 39 | EE | Tapio Elomaa,
Jussi Kujala,
Juho Rousu:
Approximation Algorithms for Minimizing Empirical Error by Axis-Parallel Hyperplanes.
ECML 2005: 547-555 |
| 38 | EE | Tapio Elomaa,
Heidi Koivistoinen:
On Autonomous k-Means Clustering.
ISMIS 2005: 228-236 |
| 37 | EE | 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 |
|---|
| 36 | EE | Tapio Elomaa,
Matti Kääriäinen:
The Difficulty of Reduced Error Pruning of Leveled Branching Programs.
Ann. Math. Artif. Intell. 41(1): 111-124 (2004) |
| 35 | EE | Tapio Elomaa,
Juho Rousu:
Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates.
Data Min. Knowl. Discov. 8(2): 97-126 (2004) |
| 34 | EE | 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 |
|---|
| 33 | EE | Matti Kääriäinen,
Tapio Elomaa:
Rademacher Penalization over Decision Tree Prunings.
ECML 2003: 193-204 |
| 32 | EE | Tapio Elomaa,
Tuomo Malinen:
On Lookahead Heuristics in Decision Tree Learning.
ISMIS 2003: 445-453 |
| 31 | EE | Tapio Elomaa,
Juho Rousu:
On Decision Boundaries of Naïve Bayes in Continuous Domains.
PKDD 2003: 144-155 |
| 30 | EE | 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) |
| 29 | EE | Tapio Elomaa,
Juho Rousu:
Necessary and Sufficient Pre-processing in Numerical Range Discretization.
Knowl. Inf. Syst. 5(2): 162-182 (2003) |
| 28 | EE | 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 |
|---|
| 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 |
| 24 | EE | Tapio Elomaa,
Matti Kääriäinen:
The Difficulty of Reduced Error Pruning of Leveled Branching Programs.
AMAI 2002 |
| 23 | EE | Tapio 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 |
| 21 | EE | 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 | EE | Tapio Elomaa,
Matti Kääriäinen:
On the Practice of Branching Program Boosting.
ECML 2001: 133-144 |
| 18 | EE | 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 | EE | 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 | EE | Tapio Elomaa,
Juho Rousu:
On the Complexity of Optimal Multisplitting.
ISMIS 2000: 552-561 |
| 1999 |
|---|
| 12 | EE | 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 |
