Graph Filtration Kernels.
|
AAAI |
2022 |
0 |
A generalized Weisfeiler-Lehman graph kernel.
|
MLJ |
2022 |
0 |
Learning Weakly Convex Sets in Metric Spaces.
|
ECML/PKDD |
2021 |
3 |
Adiabatic Quantum Computing for Max-Sum Diversification.
|
SDM |
2020 |
8 |
HOPS: Probabilistic Subtree Mining for Small and Large Graphs.
|
KDD |
2020 |
3 |
Maximum Margin Separations in Finite Closure Systems.
|
ECML/PKDD |
2020 |
4 |
Effective approximation of parametrized closure systems over transactional data streams.
|
MLJ |
2020 |
0 |
Leveraging Domain Knowledge for Reinforcement Learning Using MMC Architectures.
|
ICANN |
2019 |
13 |
Probabilistic and exact frequent subtree mining in graphs beyond forests.
|
MLJ |
2019 |
5 |
Maximal Closed Set and Half-Space Separations in Finite Closure Systems.
|
ECML/PKDD |
2019 |
8 |
Probabilistic frequent subtrees for efficient graph classification and retrieval.
|
MLJ |
2018 |
5 |
Policy Learning Using SPSA.
|
ICANN |
2018 |
4 |
Mining Tree Patterns with Partially Injective Homomorphisms.
|
ECML/PKDD |
2018 |
4 |
Efficient Decentralized Deep Learning by Dynamic Model Averaging.
|
ECML/PKDD |
2018 |
99 |
Co-Regularised Support Vector Regression.
|
ECML/PKDD |
2017 |
1 |
Using Echo State Networks for Cryptography.
|
ICANN |
2017 |
12 |
Whole-body self-calibration via graph-optimization and automatic configuration selection.
|
ICRA |
2015 |
11 |
On the Complexity of Frequent Subtree Mining in Very Simple Structures.
|
ILP |
2014 |
1 |
Pedestrian Quantity Estimation with Trajectory Patterns.
|
ECML/PKDD |
2012 |
33 |
Introduction to the special issue on mining and learning with graphs.
|
MLJ |
2011 |
1 |
Frequent subgraph mining in outerplanar graphs.
|
DMKD |
2010 |
0 |
A Logic-Based Approach to Relation Extraction from Texts.
|
ILP |
2009 |
19 |
Efficient Discovery of Interesting Patterns Based on Strong Closedness.
|
SDM |
2009 |
28 |
Tight Optimistic Estimates for Fast Subgroup Discovery.
|
ECML/PKDD |
2008 |
102 |
Efficient Closed Pattern Mining in Strongly Accessible Set Systems (Extended Abstract).
|
ECML/PKDD |
2007 |
0 |
Bias-Free Hypothesis Evaluation in Multirelational Domains.
|
PAKDD |
2006 |
1 |
Multi-class Ensemble-Based Active Learning.
|
ECML/PKDD |
2006 |
66 |
Efficient co-regularised least squares regression.
|
ICML |
2006 |
175 |
Frequent subgraph mining in outerplanar graphs.
|
KDD |
2006 |
110 |
A comparative study on methods for reducing myopia of hill-climbing search in multirelational learning.
|
ICML |
2004 |
15 |
Cyclic pattern kernels for predictive graph mining.
|
KDD |
2004 |
354 |
Comparative Evaluation of Approaches to Propositionalization.
|
ILP |
2003 |
151 |
Learning Minesweeper with Multirelational Learning.
|
IJCAI |
2003 |
19 |
On Graph Kernels: Hardness Results and Efficient Alternatives.
|
COLT |
2003 |
922 |
A Comparative Evaluation of Feature Set Evolution Strategies for Multirelational Boosting.
|
ILP |
2003 |
6 |
Scaling Boosting by Margin-Based Inclusionof Features and Relations.
|
ECML/PKDD |
2002 |
7 |
Macro-Operators in Multirelational Learning: A Search-Space Reduction Technique.
|
ECML/PKDD |
2002 |
12 |
A Scalable Constant-Memory Sampling Algorithm for Pattern Discovery in Large Databases.
|
ECML/PKDD |
2002 |
7 |
Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling.
|
JMLR |
2002 |
0 |
Transformation-Based Learning Using Multirelational Aggregation.
|
ILP |
2001 |
127 |
Mining the Web with Active Hidden Markov Models.
|
ICDM |
2001 |
21 |
Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery.
|
ECML/PKDD |
2001 |
1 |
Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems.
|
ICML |
2001 |
9 |
Relational Learning Using Constrained Confidence-Rated Boosting.
|
ILP |
2001 |
28 |
Relational Instance-Based Learning with Lists and Terms.
|
MLJ |
2001 |
89 |
Scalability, Search, and Sampling: From Smart Algorithms to Active Discovery.
|
ECML/PKDD |
2001 |
0 |
Extending K-Means Clustering to First-Order Representations.
|
ILP |
2000 |
44 |
A sequential sampling algorithm for a general class of utility criteria.
|
KDD |
2000 |
25 |
Application of Different Learning Methods to Hungarian Part-of-Speech Tagging.
|
ILP |
1999 |
27 |
Relational Distance-Based Clustering.
|
ILP |
1998 |
97 |
Term Comparisons in First-Order Similarity Measures.
|
ILP |
1998 |
35 |
An Algorithm for Multi-relational Discovery of Subgroups.
|
ECML/PKDD |
1997 |
614 |
Extensibility in Data Mining Systems.
|
KDD |
1996 |
58 |
Concept Formation During Interactive Theory Revision.
|
MLJ |
1994 |
20 |
On the Proper Definition of Minimality in Specialization and Theory Revision.
|
ECML/PKDD |
1993 |
41 |
Towards a Model of Grounded Concept Formation.
|
IJCAI |
1991 |
22 |