@inproceedings{conf/robocup/UtzSM04, title = {Sharing Belief in Teams of Heterogeneous Robots.}, author = {Hans Utz and Freek Stulp and Arndt Mühlenfeld}, booktitle = {RobuCup}, crossref = {conf/robocup/2004}, editor = {Daniele Nardi and Martin Riedmiller and Claude Sammut and José Santos-Victor}, pages = {508-515}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, url = {http://dblp.uni-trier.de/db/conf/robocup/robocup2004.html#UtzSM04}, volume = {3276}, year = {2004}, biburl = {http://www.bibsonomy.org/bibtex/2dbb9c8618ed452aebb6eefd3b28c3c3b/phbaer}, description = {dblp}, date = {2005-03-07}, ee = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=3276&spage=508}, isbn = {3-540-25046-8}, keywords = {belief heterogeneous robot shared sharing } } @inproceedings{ILP02-Ratle, title = {A novel approach to Machine Discovery: Genetic Programming and Stochastic Grammars}, address = {Sydney, Australia}, author = {Alain Ratle and Michele Sebag}, booktitle = {Proceedings of Twelfth International Conference on Inductive Logic Programming}, editor = {S. Matwin and C. Sammut}, month = {July 9-11, 2002}, pages = {207--222}, publisher = {Springer Verlag}, series = {LNCS}, url = {http://www.springerlink.com/openurl.asp?genre=issue&issn=0302-9743&volume=2583}, volume = {2583}, year = {2003}, biburl = {http://www.bibsonomy.org/bibtex/2b422e0ec7873f775c0aa1924d4c5c1db/brazovayeye}, abstract = {The application of Genetic Programming (GP) to the discovery of empirical laws most often suffers from two limitations. The first one is the size of the search space; the second one is the growth of non-coding segments, the introns, which exhausts the memory resources as GP evolution proceeds. These limitations are addressed by combining Genetic Programming and Stochastic Grammars. On one hand, grammars are used to represent prior knowledge; for instance, context-free grammars can be used to enforce the discovery of dimensionally consistent laws, thereby significantly restricting GP search space. On the other hand, in the spirit of distribution estimation algorithms, the grammar is enriched with derivation probabilities. By exploiting such probabilities, GP avoids the intron phenomenon. The approach is illustrated on a real-world like problem, the identification of behavioral laws in Mechanics.}, size = {http://www.lri.fr/~sebag/PS/ILP02.ps}, isbn = {3-540-00567-6}, keywords = {ILP algorithms, genetic programming, } } @article{journals/bib/SammutFB08, title = {Pfam 10 years on: 10 000 families and still growing.}, author = {Stephen John Sammut and Robert D. Finn and Alex Bateman}, journal = {Briefings in Bioinformatics}, number = {3}, pages = {210-219}, url = {http://dblp.uni-trier.de/db/journals/bib/bib9.html#SammutFB08}, volume = {9}, year = {2008}, biburl = {http://www.bibsonomy.org/bibtex/205172067f3b4bbf0d09e00df0ddb6b96/dblp}, description = {dblp}, ee = {http://dx.doi.org/10.1093/bib/bbn010}, date = {2008-05-20}, keywords = {dblp } } @inproceedings{cumby02learningfdl, title = {Learning with Feature Description Logics}, author = {Chad M. Cumby and Dan Roth}, booktitle = {Proceedings of the 12th International Conference on Inductive Logic Programming (ILP 2002), July 9--11, 2002, Sydney, Australia --- Revised Papers}, editor = {Stan Matwin and Claude Sammut}, number = {2583}, pages = {32--47}, publisher = {Springer, Berlin--Heidelberg, Germany}, series = {Lecture Notes in Computer Science}, year = {2003}, biburl = {http://www.bibsonomy.org/bibtex/24d04bfd2f6789c757bfb2aa8191a6edb/sb3000}, keywords = {ml propositionalization structured-data } } @inproceedings{kondor02diffusionkernel, title = {Diffusion Kernels on Graphs and Other Discrete Input Spaces}, author = {Risi Imre Kondor and John D. Lafferty}, booktitle = {Proceedings of the 19th International Conference on Machine Learning (ICML 2002), July 8-12, 2002, Sydney, Australia}, editor = {Claude Sammut and Achim G. Hoffmann}, pages = {315--322}, publisher = {Morgan-Kaufman Publishers, San Francisco, CA, USA}, year = {2002}, biburl = {http://www.bibsonomy.org/bibtex/29a83b7abb6efbaa39b4cd1b3248427e5/sb3000}, isbn = {1-55860-873-7}, keywords = {graph kernels } } @inproceedings{conf/pdcat/ZhaoSH07, title = {Performance Evaluation of a Novel CMP Cache Structure for Hybrid Workloads.}, author = {Xuemei Zhao and Karl Sammut and Fangpo He}, booktitle = {PDCAT}, crossref = {conf/pdcat/2007}, editor = {David S. Munro and Hong Shen and Quan Z. Sheng and Henry Detmold and Katrina E. Falkner and Cruz Izu and Paul D. Coddington and Bradley Alexander and Si-Qing Zheng}, pages = {89-96}, publisher = {IEEE Computer Society}, url = {http://dblp.uni-trier.de/db/conf/pdcat/pdcat2007.html#ZhaoSH07}, year = {2007}, biburl = {http://www.bibsonomy.org/bibtex/2b49dd071226ba0ada0fc21647b953335/dblp}, description = {dblp}, date = {2008-05-06}, ee = {http://doi.ieeecomputersociety.org/10.1109/PDCAT.2007.58}, isbn = {0-7695-3049-4}, keywords = {dblp } } @inproceedings{gaertner02kernelsstructured, title = {Kernels for Structured Data}, author = {Thomas Gärtner and John Lloyd and Peter Flach}, booktitle = {Proceedings of the 12th International Conference on Inductive Logic Programming (ILP 2002), July 9 - 11, 2002, Sydney, Australia --- Revised Papers}, editor = {Stan Matwin and Claude Sammut}, number = {2583}, pages = {66--83}, publisher = {Springer, Berlin--Heidelberg, Germany}, series = {Lecture Notes in Computer Science}, url = {http://dx.doi.org/10.1007/3-540-36468-4_5}, year = {2003}, biburl = {http://www.bibsonomy.org/bibtex/2193a8dbda628196719827507b2d53c11/sb3000}, keywords = {ilp kernels structured-data } } @inproceedings{sammut:icml90, title = {Is Learning Rate a Good Performance Criterion for Learning?}, author = {C. Sammut and J. Cribb}, booktitle = {Machine Learning: {P}roceedings of the Seventh Annual Conference}, key = {ICML}, pages = {170--178}, publisher = {San Francisco, CA: Morgan Kaufmann}, year = {1990}, biburl = {http://www.bibsonomy.org/bibtex/29b829a731edff37d8f7964fc032c2de9/idsia}, priority = {2}, citeulike-article-id = {2378926}, keywords = {nn } } @inproceedings{sammut:icml90, title = {Is Learning Rate a Good Performance Criterion for Learning?}, author = {C. Sammut and J. Cribb}, booktitle = {Machine Learning: {P}roceedings of the Seventh Annual Conference}, key = {ICML}, pages = {170--178}, publisher = {San Francisco, CA: Morgan Kaufmann}, year = {1990}, biburl = {http://www.bibsonomy.org/bibtex/29b829a731edff37d8f7964fc032c2de9/schaul}, description = {idsia}, priority = {2}, citeulike-article-id = {2378926}, keywords = {nn } } @inproceedings{conf/anziis/KouzaniHS96, title = {Commonsense knowledge representation and reasoning with fuzzy neural networks.}, author = {Abbas Z. Kouzani and Fangpo He and Karl Sammut}, booktitle = {ANZIIS}, crossref = {conf/anziis/1996}, editor = {V. Lakshmi Narasimhan and Lakhmi C. Jain}, pages = {237-240}, publisher = {IEEE}, url = {http://dblp.uni-trier.de/db/conf/anziis/anziis1996.html#KouzaniHS96}, year = {1996}, biburl = {http://www.bibsonomy.org/bibtex/263e6a58e621a2db159b9df6884265954/dblp}, description = {dblp}, ee = {http://dx.doi.org/10.1109/ANZIIS.1996.573944}, isbn = {0-7803-3667-4}, date = {2008-01-29}, keywords = {dblp } }