TY - JOUR AU - Busa-Fekete, Robert AU - Szörényi, B. AU - Weng, P. AU - Cheng, W. AU - Hüllermeier, Eyke ID - 10314 IS - 3 JF - Machine Learning TI - Preference-Based Reinforcement Learning: evolutionary direct policy search using a preference-based racing algorithm VL - 97 ER - TY - JOUR AU - Montanés, E. AU - Senge, Robin AU - Barranquero, J. AU - Quevedo, J.R. AU - Del Coz, J.J. AU - Hüllermeier, Eyke ID - 10315 IS - 3 JF - Pattern Recognition TI - Dependent binary relevance models for multi-label classification VL - 47 ER - TY - JOUR AU - Krempl, G. AU - Zliobaite, I. AU - Brzezinski, D. AU - Hüllermeier, Eyke AU - Last, M. AU - Lemaire, V. AU - Noack, T. AU - Shaker, Ammar AU - Sievi, S. AU - Spiliopoulou, M. AU - Stefanowski, J. ID - 10316 IS - 1 JF - SIGKDD Explorations TI - Open challenges for data stream mining research VL - 16 ER - TY - JOUR AU - Krotzky, T. AU - Fober, T. AU - Hüllermeier, Eyke AU - Klebe, G. ID - 10317 IS - 5 JF - IEEE/ACM Trans. Comput. Biology Bioinform. TI - Extended Graph-Based Models for Enhanced Similarity Search in Cavbase VL - 11 ER - TY - JOUR AU - Stock, M. AU - Fober, T. AU - Hüllermeier, Eyke AU - Glinca, S, AU - Klebe, G. AU - Pahikkala, T. AU - Airola, A. AU - De Baets, B. AU - Wageman, W. ID - 10318 IS - 6 JF - IEEE/ACM Trans. Comput. Biology Bioinform. TI - Identification of Functionally Releated Enzymes by Learning to Rank Methods VL - 11 ER - TY - CONF AB - Software composition has been studied as a subject of state based planning for decades. Existing composition approaches that are efficient enough to be used in practice are limited to sequential arrangements of software components. This restriction dramatically reduces the number of composition problems that can be solved. However, there are many composition problems that could be solved by existing approaches if they had a possibility to combine components in very simple non-sequential ways. To this end, we present an approach that arranges not only basic components but also composite components. Composite components enhance the structure of the composition by conditional control flows. Through algorithms that are written by experts, composite components are automatically generated before the composition process starts. Therefore, our approach is not a substitute for existing composition algorithms but complements them with a preprocessing step. We verified the validity of our approach through implementation of the presented algorithms. AU - Mohr, Felix AU - Kleine Büning, Hans ID - 485 T2 - Proceedings of the 15th International Conference on Information Integration and Web-based Applications & Services (iiWAS) TI - Semi-Automated Software Composition Through Generated Components ER - TY - CONF AB - Automated service composition has been studied as a subject of state based planning for a decade. A great deal of service composition tasks can only be solved if concrete output values of the services are considered in the composition process. However, the fact that those values are not known before runtime leads to nondeterministic planning problems, which have proven to be notoriously difficult in practical automated service composition applications. Even though this problem is frequently recognized, it has still received remarkably few attention and remains unsolved.This paper shows how nondeterminism in automated service composition can be reduced. We introduce context rules as a means to derive semantic knowledge from output values of services. These rules enable us to replace nondeterministic composition operations by less nondeterministic or even completely deterministic ones. We show the validity of our solutions not only theoretically but also have evaluated them practically through implementation. AU - Mohr, Felix AU - Lettmann, Theodor AU - Kleine Büning, Hans ID - 495 T2 - Proceedings of the 6th International Conference on Service Oriented Computing and Applications (SOCA) TI - Reducing Nondeterminism in Automated Service Composition ER - TY - CONF AU - Cheng, W. AU - Henzgen, S. AU - Hüllermeier, Eyke ID - 15752 T2 - In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany TI - Labelwise versus pairwise decomposition in label ranking ER - TY - CONF AU - Senge, Robin AU - del Coz, J. AU - Hüllermeier, Eyke ID - 15753 T2 - In Proceedings Workshop LWA-2009, Lernen-Wissensentdeckung-Adaptivität, Bamberg, Germany TI - Rectifying classifier chains for multi-label classification, Bamberg, Germany ER - TY - CONF AU - Busa-Fekete, Robert AU - Fober, T. AU - Hüllermeier, Eyke ED - Hoffmann, F. ED - Hüllermeier, Eyke ID - 15755 T2 - in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany TI - Preference-based evolutionary optimization using generalized racing algorithms ER - TY - CONF AU - Henzgen, S. AU - Hüllermeier, Eyke ED - Hoffmann, F. ED - Hüllermeier, Eyke ID - 15756 T2 - in Proceedings 23th Workshop Computational Intelligence, Dortmund Germany TI - Weighted rank correlation measures based on fuzzy order relations ER - TY - CONF AU - Weng, P. AU - Busa-Fekete, Robert AU - Hüllermeier, Eyke ID - 15757 T2 - In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague TI - Interactive Q-learning with ordinal rewards and unreliable tutor ER - TY - CONF AU - Busa-Fekete, Robert AU - Szörenyi, B. AU - Weng, P. AU - Hüllermeier, Eyke ID - 15758 T2 - In Proceedings ECML/PKDD-Workshop on Reinforcement learning from Generalized Feedback:Beyond Numerical Rewards, Prague TI - Preference-based evolutionary direct policy search ER - TY - CONF AU - Cheng, W. AU - Hüllermeier, Eyke ID - 15759 T2 - In Proceedings M-PREF`13, 7th Multidisciplinary Workshop on Advances in Preference Handling Beijing, China TI - A nearest neigbor approach to label ranking based on generalized labelwise loss minimization ER - TY - CONF AU - Shaker, Ammar AU - Hüllermeier, Eyke ED - Krempl, G. ED - Zliobaite, I. ED - Wang, Y. ED - Forman, G. ID - 15760 T2 - In Proceedings RealStream 2013, 1st International Workshop on Real-World Challenges for Data Stream Mining, Prague, Czech Republic TI - Event history analysis on data streams: An application to earthquake occurence ER - TY - CONF AU - Senge, Robin AU - del Coz, J.J. AU - Hüllermeier, Eyke ED - Schmidt-Thieme, L. ED - Spiliopoulou, M. ID - 15761 T2 - In Proceedings of GFKL-2012, 36th Annual Conference of the German Classification Society, Studies in Classification, Data Analysis and Knowledge Organization, Hildesheim, Germany TI - On the problem of error propagation in classier chains for multi-label classification. Data Analysis, Machine Learning and Knowledge Discovery ER - TY - CONF AU - Fober, T. AU - Klebe, G. AU - Hüllermeier, Eyke ED - Lausen, B. ED - Van den Poel, D. ED - Ultsch, A. ID - 15763 T2 - In Proceedings GFKL-2011, Conference of the German Classification Society, Frankfurt Germany TI - Local clique merging: An extension of the maximum common subgraph measure with applications in structural bioinformatics, Algorithms from and for Nature and Life ER - TY - CONF AU - Fallah Tehrani, A. AU - Hüllermeier, Eyke ED - Montero, J. ED - Pasi, G. ED - Ciucci, D. ID - 15112 T2 - in Proceedings EUSFLAT-2013 8th International Conference on the European Society for Fuzzy Logic and Technology, Milano, Italy TI - Ordinal Choquistic regression ER - TY - CONF AU - Nasiri, N. AU - Fober, T. AU - Senge, Robin AU - Hüllermeier, Eyke ID - 15113 T2 - in Proceedings IFSA-2013 World Congress of the International Fuzzy Systems Association, Edmonton, Canada TI - Fuzzy Pattern Trees as an alternative to rule-based fuzzy systems: Knowledge-driven, data-driven and hybrid modeling of colour yield in poyester dyeing, Edmonton, Canada ER - TY - JOUR AU - Heider, D. AU - Senge, Robin AU - Cheng, W. AU - Hüllermeier, Eyke ID - 16044 IS - 16 JF - Bioinformatics TI - Multilabel classification for exploiting cross-resistance information in HIV-1 drug resistence prediction VL - 29 ER - TY - JOUR AU - Bösner, S. AU - Bönisch, K. AU - Haasenritter , J. AU - Schlegel, P. AU - Hüllermeier, Eyke AU - Donner-Banzhoff, N. ID - 16081 IS - 1 JF - BMC Family Practice TI - Chest pain in primary care: is the localization of pain diagnostically helpful in the critical evaluation of patients? A cross sectional study. VL - 14 ER - TY - JOUR AU - Haasenritter, J. AU - Viniol, A. AU - Becker, A. AU - Bösner, S. AU - Hüllermeier, Eyke AU - Senge, Robin AU - Donner-Banzhoff, N. ID - 16086 JF - Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen (ZEFQ) TI - Diagnose im Kontext - eine erweiterte Perspektive VL - 107 ER - TY - JOUR AU - Shaker, A. AU - Senge, R. AU - Hüllermeier, Eyke ID - 16123 JF - Information Sciences TI - Evolving fuzzy pattern trees for binary classification on data streams VL - 220 ER - TY - CONF AU - Szarvas, G. AU - Busa-Fekete, Robert AU - Hüllermeier, Eyke ID - 13115 T2 - In Proceedings EMNLP-2013 Conference on Empirical Methods in Natural Language Processing, Seattle, USA TI - Learning to rank lexical substitutions ER - TY - CONF AU - Dembczynski, K. AU - Jachnik, A. AU - Kotlowski, W. AU - Waegeman, W. AU - Hüllermeier, Eyke ED - Dasgupta, S. ED - McAllester, D. ID - 13116 T2 - in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA TI - Optimizing the F-measure in multi-label classification: Plug-in rule approach versus structured loss minimization ER - TY - CONF AU - Busa-Fekete, Robert AU - Szoreny, B. AU - Weng, P. AU - Cheng, W. AU - Hüllermeier, Eyke ED - Dasgupta, S. ED - McAllester, D. ID - 13117 T2 - in Proceedings ICML-2013, 30th International Conference on Machine Learning, Atlanta, USA TI - Top-k selection based on adaptive sampling of noisy preferences ER - TY - CONF AU - Hüllermeier, Eyke AU - Cheng, W. ED - Rossi, F. ID - 13118 T2 - in Proceedings IJCAI-13, 23rd international Joint Conference on Artificial Intelligence, Beijing, China TI - Preference-based CBR: General ideas and basic principles ER - TY - CONF AU - Henzgen, Sascha AU - Strickert, M. AU - Hüllermeier, Eyke ED - Burduk, R. ED - Jackowski, K. ED - Kurzynski, M. ED - Wozniak, M. ED - Zolnierek, A. ID - 13119 T2 - in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland TI - Rule chains for visualizing evolving fuzzy rule-based systems ER - TY - CONF AU - Shaker, Ammar AU - Hüllermeier, Eyke ED - Burduk, R. ED - Jackowski, K. ED - Kurzynski, M. ED - Wozniak, W. ED - Zolnierek, A. ID - 13190 T2 - in Proceedings CORES 2013, 8th International Conference on Computer Recognition Systems, Wroclaw, Poland TI - Recovery analysis for adaptive learning from non-stationary data streams ER - TY - CONF AU - Leinweber, M. AU - Baumgärtner, L. AU - Mernberger, M. AU - Fober, T. AU - Hüllermeier, Eyke AU - Klebe, G. AU - Freisleben, B. ID - 15299 T2 - in Proceedings IEEE Conference on Digital Ecosystem Technologies-Complex Environment Engineering Campione d`Italia, Italy TI - GPU-based cloud computing for comparing the structure of protein binding sites ER - TY - CHAP AU - Hüllermeier, Eyke AU - Fallah Tehrani, A. ED - Moewes, C. ED - Nürnberger, A. ID - 15396 T2 - Computational Intelligence in Intelligent Data Analysis TI - Efficient learning of classifiers based on the 2-additive Choquet integral ER - TY - CONF AU - Bräuning, M. AU - Hüllermeier, Eyke ID - 15754 T2 - In Workshops on Preference Learning at ECAI, European Conference on Artiticial intelligence, Montpellier, France TI - Learning conditional lexicographic preference trees ER - TY - CONF AU - Hüllermeier, Eyke AU - Fallah Tehrani, A. ID - 15114 T2 - In Proceedings IPMU-2012 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy TI - On the VC dimension of the Choquet integral ER - TY - JOUR AU - Fallah Tehrani, A. AU - Cheng, W. AU - Dembczynski, K. AU - Hüllermeier, Eyke ID - 16084 IS - 1 JF - Machine Learning TI - Learning monotone nonlinear models using the Choquet integral VL - 89 ER - TY - JOUR AU - Bustince, H. AU - Pagola, M. AU - Mesiar, R. AU - Hüllermeier, Eyke AU - Herrera, F. ID - 16085 IS - 3 JF - IEEE Transactions on Fuzzy Systems TI - Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons VL - 20 ER - TY - JOUR AU - Fürnkranz, J. AU - Hüllermeier, Eyke AU - Cheng, W. AU - Park, S.H. ID - 16087 IS - 1 JF - Machine Learning TI - Preference-based reinforcement learning: A formal framework and a policy iteration algorithm VL - 89 ER - TY - JOUR AU - Dembczynski, K. AU - Waegeman, W. AU - Cheng, W. AU - Hüllermeier, Eyke ID - 16088 IS - 1-2 JF - Machine Learning TI - On label dependence and loss minimization in multi-label classification VL - 88 ER - TY - JOUR AU - Shaker, Ammar AU - Hüllermeier, Eyke ID - 16089 IS - 4 JF - Evolving Systems TI - IBL Streams: A system for instance-based classification and regression on data streams VL - 3 ER - TY - JOUR AU - Dolorez Ruiz, M. AU - Hüllermeier, Eyke ID - 16090 JF - Information Sciences TI - A formal and empirical analysis of the fuzzy gamma rank correlation coefficient VL - 206 ER - TY - JOUR AU - Fallah Tehrani, A. AU - Cheng, W. AU - Hüllermeier, Eyke ID - 16091 IS - 6 JF - IEEE Transactions on Fuzzy Systems TI - Preference learning using the Choquet integral: The case of multipartite ranking VL - 20 ER - TY - JOUR AU - Fober, T. AU - Mernberger, M. AU - Klebe, G. AU - Hüllermeier, Eyke ID - 16092 IS - 6-7 JF - Molecular Informatics TI - Fingerprint kernels for protein structure comparison VL - 31 ER - TY - JOUR AU - Hüllermeier, Eyke AU - Rifqi, M. AU - Henzgen, Sascha AU - Senge, Robin ID - 16093 IS - 3 JF - IEEE Transactions on Fuzzy Systems TI - Comparing fuzzy partitions: A generalization of the Rand index and related measures VL - 20 ER - TY - JOUR AU - Senge, Robin AU - Fober, T. AU - Nasiri, N. AU - Hüllermeier, Eyke ID - 16094 IS - 10 JF - At-Atomatisierungstechnik TI - Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung VL - 60 ER - TY - CONF AU - Cheng, W. AU - Hüllermeier, Eyke AU - Waegeman, W. AU - Welker, V. ID - 13120 T2 - In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA TI - Label ranking with partial abstention based on thresholded probalistic models ER - TY - CONF AU - Cheng, W. AU - Hüllermeier, Eyke ID - 13191 T2 - Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK TI - Probability estimation for mulit-class classification based on label ranking ER - TY - CONF AU - Dembczynski, K. AU - Kotlowski, W. AU - Hüllermeier, Eyke ED - Langford, J. ED - Pineau, J. ID - 13192 T2 - in Proceedings ICML-2012, International Conference on Machine Learning, Edinburgh, Scotland TI - Consistent multilabel ranking through univariate loss minimization ER - TY - CONF AU - Dembczynski, K. AU - Waegeman, W. AU - Hüllermeier, Eyke ID - 13193 T2 - In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France TI - An analysis of chaining in multi-label classification ER - TY - CHAP AU - Hüllermeier, Eyke ED - Trillas, E. ED - Bonissone, P.P. ED - Magdalena, L. ED - Kacprzyk, J. ID - 10153 T2 - Combining Experimentation and Theory TI - Fuzzy rules in data mining: From fuzzy associations to gradual dependencies VL - 271 ER - TY - CONF AU - Dembczynski, K. AU - Waegeman, W. AU - Hüllermeier, Eyke ID - 15762 T2 - In Proceedings ECML Workshop on Collective inference and Learning on Structured Data, Athens, Greece TI - Joint mode estimation in multi-label classification by chaining ER - TY - CONF AU - Mernberger, M. AU - Moog, D. AU - Stork, S. AU - Zauner, S. AU - Maier, U. AU - Hüllermeier, Eyke ID - 15764 T2 - In Proceedings GCB-2011 German Conference on Bioinformatics Munich, Germany TI - Prediction of protein localization for specialized compartments using time series kernels ER -