- 08/22/2004 MRDM 2004 Workshop 1 Link MiningLink Mining
- Ecological Modelling 170 (2003) 141154 Using equation discovery to revise an Earth ecosystem
- Ecological Modelling 170 (2003) 453469 Modeling the brown bear population in Slovenia
- Relational Reinforcement Learning for Agents in Worlds with Objects
- Applied Arti cial Intelligence, 14:205 223, 2000 Copyright 2000 Taylor & Francis
- Univerza v Ljubljani Fakulteta za raunalnitvo in informatiko
- Inductive Logic Programming Techniques and Applications
- Theory Revision in Equation Discovery Ljupco Todorovski and Saso Dzeroski
- Inductive Databases of Polynomial Equations Saso Dzeroski, Ljupco Todorovski, and Peter Ljubic
- Stacking with an Extended Set of Meta-Level Attributes and MLR
- Structural Logistic Regression for Link Analysis Alexandrin Popescul and Lyle H. Ungar
- Towards feature selection for disk-based multirelational learners: a case study with a
- Using Bayesian Classifiers to Combine Rules Jesse Davis, Vitor Santos Costa, Irene M. Ong,
- Knowledge Discovery in Environmental Databases Data mining and knowledge discovery are concerned with extracting inter
- Wat. Res. Vol. 35, No. 18, pp. 42854292, 2001 r 2001 Elsevier Science Ltd. All rights reserved
- A Report on the Summer School on Relational Data Mining
- A comparison of stacking with meta decision trees to other combining methods
- Constraint Based Mining of First Order Sequences in SeqLog (Extended Abstract)
- A comparison of stacking with MDTs to bagging, boosting, and other stacking methods
- u MACHINE LEARNING OF MORPHOSYNTACTIC
- Detecting traffic problems with ILP Saso Dzeroski 1 , Nico Jacobs 2 , Martin Molina 3 , Carlos Moure 3 ,
- Ecological Modelling 170 (2003) 129140 Learning population dynamics models
- Efficient Multi-relational Classification by Tuple ID Propagation
- Ecological Modelling 138 (2001) 321330 Habitat suitability modelling for red deer (Cer6us elaphus
- Learning to Lemmatise Slovene Words Saso Dzeroski and Tomaz Erjavec
- Mining Patterns from Structured Data by Beam-wise Graph-Based Induction
- Using Domain Speci c Knowledge for Automated Modeling
- Inductive Logic Programming Techniques and Applications
- Learning in Rich Representations: Inductive Logic Programming and Computational Scientific Discovery
- Morphosyntactic Tagging of Slovene: Evaluating Taggers and Tagsets
- COMPUTATIONAL Intelligent
- Using Data Mining and OLAP to Discover Patterns in a Database of Patients with Y-Chromosome Deletions
- Statistical Models for Relational Data Lise Getoor 1 , Daphne Koller 2 , and Benjamin Taskar 2
- 8/29/2004 MRDM'04 1 CrossMine: Efficient
- Collective Classification Relational Dependency Networks
- Applied Radiation and Isotopes 58 (2003) 697706 Application of decision trees to the analysis of soil radon data
- Multi-Relational Data Mining: a Workshop Report Saso Dzeroski
- Computational Scientific Discovery and Inductive Databases Saso Dzeroski
- Relational Reinforcement Learning for Agents in Worlds with Objects
- Relational Ranking with Predictive Clustering Trees Saso Dzeroski and Ljupco Todorovski
- Ecological Modelling 146 (2001) 263273 Applications of symbolic machine learning to ecological
- Machine Learning, 43, 752, 2001 c 2001 Kluwer Academic Publishers. Manufactured in The Netherlands.
- Supporting Discovery in Medicine by Association Rule Mining in Medline and UMLS Dimitar Hristovskia
- A comparison of stacking with meta decision trees to bagging, boosting, and stacking with other methods
- Morphosyntactic Tagging of Slovene Using James Cussens1
- STRUCTUREu DITERPENE ELUCIDATION FROM 1 3 C NMR
- Artificial Intelligence in Medicine 14 (1998) 101117 Acquiring background knowledge for machine
- ELSEVIER EcologicalModelling95 (1997)95-111 Using machine learning techniques in the construction of models.
- COMPUTATIONAL SCIENTIFIC DISCOVERY AND INDUCTIVE DATABASES
- An Amateur's Introduction to Multirelational Data Mining
- A Simple Relational Classifier Sofus A. Macskassy and Foster Provost
- Discovering Knowledge from Relational Data Extracted from Business News
- Schemas and Models David Jensen and Jennifer Neville
- Experiments with MRDTL --A Multi-relational Decision Tree Learning Algorithm
- 20 40 60 80 100 Association Rules
- Dynamic Feature Generation for Relational Learning Alexandrin Popescul
- Kernel-based distances for relational learning Adam Woznica1
- u EXPERIMENTS IN PREDICTING BIODEGRADABILITY
- Ecological Modelling 121 (1999) 5161 Interactions among the red deer (Cer6us elaphus, L.)
- Using Domain Knowledge on Population Dynamics Modeling for Equation Discovery
- Hierarchical multi-classi cation Hendrik Blockeel 1 , Maurice Bruynooghe 1 , Sa so D zeroski 2 , Jan Ramon 1 , and
- Stacking with Multi-Response Model Trees Saso Dzeroski and Bernard Zenko
- Application of machine learning techniques to the analysis of soil ecological data bases: relationships between habitat features and
- Ecological Modelling 170 (2003) 219226 Using regression trees to identify the habitat preference of the sea
- Concept Formation Using Graph Grammars Istvan Jonyer, Lawrence B. Holder and Diane J. Cook
- Experiments in Predicting Biodegradability Saso Dzeroski1
- Jean-Francois Boulicaut and Saso Dzeroski, editors Proceedings of the 2nd International
- Computational Discovery of Communicable Knowledge: Symposium Report
- Computational Scientific Discovery and Inductive Databases Sa so D zeroski
- Multi-Relational Data Mining: An Introduction Saso Dzeroski
- Ecological Modelling 113 (1998) 7181 Modelling and prediction of phytoplankton growth with
- An Introduction to Inductive Logic Programming and Learning Language in Logic
