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Results: 1-13 |
Results: 13
Knowledge discovery by means of inductive methods in wastewater treatment plant data
Authors: Comas, J Dzeroski, S Gibert, K Roda, IR Sanchez-Marre, M
Citation: J. Comas et al., Knowledge discovery by means of inductive methods in wastewater treatment plant data, AI COMMUN, 14(1), 2001, pp. 45-62
Editorial: Inductive logic programming is coming of age
Authors: Flach, P Dzeroski, S
Citation: P. Flach et S. Dzeroski, Editorial: Inductive logic programming is coming of age, MACH LEARN, 44(3), 2001, pp. 207-209
Relational reinforcement learning
Authors: Dzeroski, S De Raedt, L Driessens, K
Citation: S. Dzeroski et al., Relational reinforcement learning, MACH LEARN, 43(1-2), 2001, pp. 7-52
Habitat suitability modelling for red deer (Cervus elaphus L.) in South-central Slovenia with classification trees
Authors: Debeljak, M Dzeroski, S Jerina, K Kobler, A Adamic, M
Citation: M. Debeljak et al., Habitat suitability modelling for red deer (Cervus elaphus L.) in South-central Slovenia with classification trees, ECOL MODEL, 138(1-3), 2001, pp. 321-330
A reappraisal of saprobic values and indicator weights based on Slovenian river quality data
Authors: Walley, WJ Grbovic, J Dzeroski, S
Citation: Wj. Walley et al., A reappraisal of saprobic values and indicator weights based on Slovenian river quality data, WATER RES, 35(18), 2001, pp. 4285-4292
Predicting chemical parameters of river water quality from bioindicator data
Authors: Dzeroski, S Demsar, D Grbovic, J
Citation: S. Dzeroski et al., Predicting chemical parameters of river water quality from bioindicator data, APPL INTELL, 13(1), 2000, pp. 7-17
Noise detection and elimination in data preprocessing: Experiments in medical domains
Authors: Gamberger, D Lavrac, N Dzeroski, S
Citation: D. Gamberger et al., Noise detection and elimination in data preprocessing: Experiments in medical domains, APPL ARTIF, 14(2), 2000, pp. 205-223
Application of machine learning techniques to the analysis of soil ecological data bases: relationships between habitat features and Collembolan community characteristics
Authors: Kampichler, C Dzeroski, S Wieland, R
Citation: C. Kampichler et al., Application of machine learning techniques to the analysis of soil ecological data bases: relationships between habitat features and Collembolan community characteristics, SOIL BIOL B, 32(2), 2000, pp. 197-209
Untitled
Authors: Dzeroski, S Lavrac, N
Citation: S. Dzeroski et N. Lavrac, Untitled, DATA M K D, 3(1), 1999, pp. 5-6
Interactions among the red deer (Cervus elaphus, L.) population, meteorological parameters and new growth of the natural regenerated forest in Sneznik, Slovenia
Authors: Debeljak, M Dzeroski, S Adamic, M
Citation: M. Debeljak et al., Interactions among the red deer (Cervus elaphus, L.) population, meteorological parameters and new growth of the natural regenerated forest in Sneznik, Slovenia, ECOL MODEL, 121(1), 1999, pp. 51-61
Preface - Special issue on inductive logic programming 97
Authors: Lavrac, N Dzeroski, S Numao, M
Citation: N. Lavrac et al., Preface - Special issue on inductive logic programming 97, NEW GEN COM, 17(1), 1999, pp. 1-2
Inductive logic programming for relational knowledge discovery
Authors: Lavrac, N Dzeroski, S Numao, M
Citation: N. Lavrac et al., Inductive logic programming for relational knowledge discovery, NEW GEN COM, 17(1), 1999, pp. 3-23
Modelling and prediction of phytoplankton growth with equation discovery
Authors: Todorovski, L Dzeroski, S Kompare, B
Citation: L. Todorovski et al., Modelling and prediction of phytoplankton growth with equation discovery, ECOL MODEL, 113(1-3), 1998, pp. 71-81
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