@inproceedings{15096, author = {{Böttcher, Stefan and Bültmann, Alexander and Hartel, Rita and Schlüßler, Jonathan}}, booktitle = {{2012 Data Compression Conference}}, isbn = {{9781467307154}}, pages = {{393}}, publisher = {{IEEE}}, title = {{{Fast Insertion and Deletion in Compressed Texts}}}, doi = {{10.1109/dcc.2012.50}}, year = {{2012}}, } @inproceedings{15114, author = {{Hüllermeier, Eyke and Fallah Tehrani, A.}}, booktitle = {{In Proceedings IPMU-2012 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Part 1, Catania, Italy}}, title = {{{On the VC dimension of the Choquet integral}}}, year = {{2012}}, } @article{16084, author = {{Fallah Tehrani, A. and Cheng, W. and Dembczynski, K. and Hüllermeier, Eyke}}, journal = {{Machine Learning}}, number = {{1}}, pages = {{183--211}}, title = {{{Learning monotone nonlinear models using the Choquet integral}}}, volume = {{89}}, year = {{2012}}, } @article{16085, author = {{Bustince, H. and Pagola, M. and Mesiar, R. and Hüllermeier, Eyke and Herrera, F.}}, journal = {{IEEE Transactions on Fuzzy Systems}}, number = {{3}}, pages = {{405--415}}, title = {{{Grouping, overlap and generalized bientropic functions for fuzzy modeling of pairwise comparisons}}}, volume = {{20}}, year = {{2012}}, } @article{16087, author = {{Fürnkranz, J. and Hüllermeier, Eyke and Cheng, W. and Park, S.H.}}, journal = {{Machine Learning}}, number = {{1}}, pages = {{123--156}}, title = {{{Preference-based reinforcement learning: A formal framework and a policy iteration algorithm}}}, volume = {{89}}, year = {{2012}}, } @article{16088, author = {{Dembczynski, K. and Waegeman, W. and Cheng, W. and Hüllermeier, Eyke}}, journal = {{Machine Learning}}, number = {{1-2}}, pages = {{5--45}}, title = {{{On label dependence and loss minimization in multi-label classification}}}, volume = {{88}}, year = {{2012}}, } @article{16089, author = {{Shaker, Ammar and Hüllermeier, Eyke}}, journal = {{Evolving Systems}}, number = {{4}}, pages = {{235--249}}, title = {{{IBL Streams: A system for instance-based classification and regression on data streams}}}, volume = {{3}}, year = {{2012}}, } @article{16090, author = {{Dolorez Ruiz, M. and Hüllermeier, Eyke}}, journal = {{Information Sciences}}, pages = {{1--17}}, title = {{{A formal and empirical analysis of the fuzzy gamma rank correlation coefficient}}}, volume = {{206}}, year = {{2012}}, } @article{16091, author = {{Fallah Tehrani, A. and Cheng, W. and Hüllermeier, Eyke}}, journal = {{IEEE Transactions on Fuzzy Systems}}, number = {{6}}, pages = {{1102--1113}}, title = {{{Preference learning using the Choquet integral: The case of multipartite ranking}}}, volume = {{20}}, year = {{2012}}, } @article{16092, author = {{Fober, T. and Mernberger, M. and Klebe, G. and Hüllermeier, Eyke}}, journal = {{Molecular Informatics}}, number = {{6-7}}, pages = {{443--452}}, title = {{{Fingerprint kernels for protein structure comparison}}}, volume = {{31}}, year = {{2012}}, } @article{16093, author = {{Hüllermeier, Eyke and Rifqi, M. and Henzgen, Sascha and Senge, Robin}}, journal = {{IEEE Transactions on Fuzzy Systems}}, number = {{3}}, pages = {{546--556}}, title = {{{Comparing fuzzy partitions: A generalization of the Rand index and related measures}}}, volume = {{20}}, year = {{2012}}, } @article{16094, author = {{Senge, Robin and Fober, T. and Nasiri, N. and Hüllermeier, Eyke}}, journal = {{At-Atomatisierungstechnik}}, number = {{10}}, pages = {{622--629}}, title = {{{Fuzzy Pattern Trees: Ein alternativer Ansatz zur Fuzzy-Modellierung}}}, volume = {{60}}, year = {{2012}}, } @inproceedings{16408, abstract = {{We present a parallel rendering system for heterogeneous PC clusters to visualize massive models. One single, powerful visualization node is supported by a group of backend nodes with weak graphics performance. While the visualization node renders the visible objects, the backend nodes asynchronously perform visibility tests and supply the front end with visible scene objects. The visualization node stores only currently visible objects in its memory, while the scene is distributed among the backend nodes’ memory without redundancy. To efficiently compute the occlusion tests in spite of that each backend node stores only a fraction of the original geometry, we complete the scene by adding highly simplified versions of the objects stored on other nodes. We test our system with 15 backend nodes. It is able to render a ≈ 350,M polygons (≈ 8.5,GiB) large aircraft model with 20, to 30,fps and thus allows a walk-through in real-time. }}, author = {{Suess, Tim and Koch, Clemens and Jähn, Claudius and Fischer, Matthias and Meyer auf der Heide, Friedhelm}}, booktitle = {{Advances in Visual Computing}}, isbn = {{9783642331787}}, issn = {{0302-9743}}, pages = {{502--512}}, title = {{{Asynchronous Occlusion Culling on Heterogeneous PC Clusters for Distributed 3D Scenes}}}, doi = {{10.1007/978-3-642-33179-4_48}}, volume = {{7431}}, year = {{2012}}, } @inproceedings{13120, author = {{Cheng, W. and Hüllermeier, Eyke and Waegeman, W. and Welker, V.}}, booktitle = {{In Proceedings NIPS-2012, 26th Annual Conference on Neural Information Processing Systems, Lake Tahoe, Nevada, USA}}, title = {{{Label ranking with partial abstention based on thresholded probalistic models}}}, year = {{2012}}, } @inproceedings{13191, author = {{Cheng, W. and Hüllermeier, Eyke}}, booktitle = {{Proceedings ECML/PKDD-2012, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Bristol, UK}}, title = {{{Probability estimation for mulit-class classification based on label ranking}}}, year = {{2012}}, } @inproceedings{13192, author = {{Dembczynski, K. and Kotlowski, W. and Hüllermeier, Eyke}}, booktitle = {{in Proceedings ICML-2012, International Conference on Machine Learning, Edinburgh, Scotland}}, editor = {{Langford, J. and Pineau, J.}}, title = {{{Consistent multilabel ranking through univariate loss minimization}}}, year = {{2012}}, } @inproceedings{13193, author = {{Dembczynski, K. and Waegeman, W. and Hüllermeier, Eyke}}, booktitle = {{In Proceedings ECAI-2012, 20th European Conference on Artificial Inteligence, Montpellier, France }}, pages = {{294--299}}, publisher = {{IOS Press}}, title = {{{An analysis of chaining in multi-label classification}}}, year = {{2012}}, } @misc{13462, author = {{Lewis, Peter and Platzner, Marco and Yao, Xin}}, publisher = {{Awareness Magazine}}, title = {{{An outlook for self-awareness in computing systems}}}, year = {{2012}}, } @inbook{10153, author = {{Hüllermeier, Eyke}}, booktitle = {{Combining Experimentation and Theory}}, editor = {{Trillas, E. and Bonissone, P.P. and Magdalena, L. and Kacprzyk, J.}}, pages = {{123--135}}, publisher = {{Springer}}, title = {{{Fuzzy rules in data mining: From fuzzy associations to gradual dependencies}}}, volume = {{271}}, year = {{2012}}, } @inbook{26695, abstract = {{The Unified Modeling Language (UML) is now widely accepted by the software community. More recently, UML has attracted attention as a unification language for systems description combining both hardware and software components. First, it has been recognized that electronic systems design can no longer be seen as an isolated hardware design activity. In addition, recent advances in tools supporting high level hardware synthesis from electronic system level languages, which are predominantly based on C/C++, open new perspectives for automatic code generation from UML models and opportunities to enhance the link between a high level specification and a concrete hardware/software implementation. Finally, UML has become a general purpose language which can be customized for specific purposes, such as the modelization of electronic systems. This chapter presents recent advances of the UML language applied to System-on-Chip (SoC) and hardware-related embedded systems design. In particular, several examples of specific UML customizations (UML profiles) relevant for SoC design are summarized. Various approaches associating UML with existing hardware/software design languages are presented. The question of tool support and association with well-known simulation environments, such as MATLAB/Simulink, is addressed as well. A concrete example of a UML profile for hardware/software co-modeling and code generation for hardware/software co-simulation is presented in more details for illustration purposes.}}, author = {{Vanderperren, Yves and Müller, Wolfgang and He, Da and Mischkalla, Fabian and Dahaene, Wim}}, booktitle = {{Design Technology for Heterogeneous Embedded Systems}}, editor = {{Nicolescu, Gabriela and O'Connor, Ian and Piguet, Christian}}, isbn = {{978-94-007-1125-9}}, pages = {{13--39}}, publisher = {{Springer Verlag}}, title = {{{Extending UML for Electronic Systems Design: A Code Generation Perspective}}}, year = {{2012}}, }