]> BibSonomy publications for /author/Sammut http://www.bibsonomy.org/burst/author/Sammut BibSonomy BuRST Feed for /author/Sammut 2008-07-27T02:46:35+02:00 The Ulm Sparrows 2004 http://www.bibsonomy.org/bibtex/29d0fe4251588f4241a0bf737a57ece96/phbaer phbaer 2008-07-20T18:07:11+02:00 phbaer-pub robocup sparrows ulm year:2004
The Ulm Sparrows 2004
Gerhard K. Kraetzschmar and Gerd Mayer and Hans Utz and Philipp A. Baer and Martin Clauss and Ulrich Kaufmann and Markus Lauer and Simon Natterer and Sebastian Przewoznik and Roland Reichle and Christoph Sitter and Florian Sterk and Günther Palm RoboCup 2004: Robot Soccer World Cup VIII (2004)
to phbaer-pub robocup sparrows ulm year:2004 by phbaer on 2008-07-20 18:07:11 ]]> Berlin, Heidelberg, GermanyRoboCup 2004: Robot Soccer World Cup VIIILecture Notes in Computer ScienceThe Ulm Sparrows 200432762004phbaer-pub robocup sparrows ulm year:2004 2008-07-20 18:07:11.0 Sharing Belief in Teams of Heterogeneous Robots. dblphttp://www.bibsonomy.org/bibtex/2dbb9c8618ed452aebb6eefd3b28c3c3b/phbaer phbaer 2008-06-24T00:09:20+02:00 belief heterogeneous robot shared sharing
Sharing Belief in Teams of Heterogeneous Robots.
Hans Utz and Freek Stulp and Arndt Mühlenfeld RobuCup 508-515 (2004)
to belief heterogeneous robot shared sharing by phbaer on 2008-06-24 00:09:20 ]]> RobuCupconf/robocup/2004508-515Lecture Notes in Computer ScienceSharing Belief in Teams of Heterogeneous Robots.32762004belief heterogeneous robot shared sharing 2008-06-24 00:09:20.0 A novel approach to Machine Discovery: Genetic Programming and Stochastic Grammars http://www.bibsonomy.org/bibtex/2b422e0ec7873f775c0aa1924d4c5c1db/brazovayeye brazovayeye 2008-06-19T17:46:40+02:00 ILP algorithms, genetic programming,
A novel approach to Machine Discovery: Genetic Programming and Stochastic Grammars
Alain Ratle and Michele Sebag Proceedings of Twelfth International Conference on Inductive Logic Programming 207--222 (2003)
to ILP algorithms, genetic programming, by brazovayeye on 2008-06-19 17:46:40 ]]> Sydney, AustraliaProceedings of Twelfth International Conference on Inductive Logic ProgrammingJuly 9-11, 2002207--222LNCSA novel approach to Machine Discovery: Genetic Programming and Stochastic Grammars25832003ILP algorithms, genetic programming, 2008-06-19 17:46:40.0The 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. Pfam 10 years on: 10 000 families and still growing. dblphttp://www.bibsonomy.org/bibtex/205172067f3b4bbf0d09e00df0ddb6b96/dblp dblp 2008-05-20T00:00:00+02:00 dblp
Pfam 10 years on: 10 000 families and still growing.
Stephen John Sammut and Robert D. Finn and Alex Bateman Briefings in Bioinformatics 9 210-219 (2008)
to dblp by dblp on 2008-05-20 00:00:00 ]]> Briefings in Bioinformatics3210-219Pfam 10 years on: 10 000 families and still growing.92008dblp 2008-05-20 00:00:00.0 Learning with Feature Description Logics http://www.bibsonomy.org/bibtex/24d04bfd2f6789c757bfb2aa8191a6edb/sb3000 sb3000 2008-05-16T16:51:20+02:00 ml propositionalization structured-data
Learning with Feature Description Logics
Chad M. Cumby and Dan Roth Proceedings of the 12th International Conference on Inductive Logic Programming (ILP 2002), July 9--11, 2002, Sydney, Australia --- Revised Papers 32--47 (2003)
to ml propositionalization structured-data by sb3000 on 2008-05-16 16:51:20 ]]> Proceedings of the 12th International Conference on Inductive Logic Programming (ILP 2002), July 9--11, 2002, Sydney, Australia --- Revised Papers258332--47Lecture Notes in Computer ScienceLearning with Feature Description Logics2003ml propositionalization structured-data 2008-05-16 16:51:20.0 Diffusion Kernels on Graphs and Other Discrete Input Spaces http://www.bibsonomy.org/bibtex/29a83b7abb6efbaa39b4cd1b3248427e5/sb3000 sb3000 2008-05-16T15:00:41+02:00 graph kernels
Diffusion Kernels on Graphs and Other Discrete Input Spaces
Risi Imre Kondor and John D. Lafferty Proceedings of the 19th International Conference on Machine Learning (ICML 2002), July 8-12, 2002, Sydney, Australia 315--322 (2002)
to graph kernels by sb3000 on 2008-05-16 15:00:41 ]]> Proceedings of the 19th International Conference on Machine Learning (ICML 2002), July 8-12, 2002, Sydney, Australia315--322Diffusion Kernels on Graphs and Other Discrete Input Spaces2002graph kernels 2008-05-16 15:00:41.0 Performance Evaluation of a Novel CMP Cache Structure for Hybrid Workloads. dblphttp://www.bibsonomy.org/bibtex/2b49dd071226ba0ada0fc21647b953335/dblp dblp 2008-05-06T00:00:00+02:00 dblp
Performance Evaluation of a Novel CMP Cache Structure for Hybrid Workloads.
Xuemei Zhao and Karl Sammut and Fangpo He PDCAT 89-96 (2007)
to dblp by dblp on 2008-05-06 00:00:00 ]]> PDCATconf/pdcat/200789-96Performance Evaluation of a Novel CMP Cache Structure for Hybrid Workloads.2007dblp 2008-05-06 00:00:00.0 Kernels for Structured Data http://www.bibsonomy.org/bibtex/2193a8dbda628196719827507b2d53c11/sb3000 sb3000 2008-03-28T16:20:15+01:00 ilp kernels structured-data
Kernels for Structured Data
Thomas Gärtner and John Lloyd and Peter Flach Proceedings of the 12th International Conference on Inductive Logic Programming (ILP 2002), July 9 - 11, 2002, Sydney, Australia --- Revised Papers 66--83 (2003)
to ilp kernels structured-data by sb3000 on 2008-03-28 16:20:15 ]]> Proceedings of the 12th International Conference on Inductive Logic Programming (ILP 2002), July 9 - 11, 2002, Sydney, Australia --- Revised Papers258366--83Lecture Notes in Computer ScienceKernels for Structured Data2003ilp kernels structured-data 2008-03-28 16:20:15.0 Is Learning Rate a Good Performance Criterion for Learning? http://www.bibsonomy.org/bibtex/29b829a731edff37d8f7964fc032c2de9/idsia idsia 2008-03-11T14:52:34+01:00 nn
Is Learning Rate a Good Performance Criterion for Learning?
C. Sammut and J. Cribb Machine Learning: Proceedings of the Seventh Annual Conference 170--178 (1990)
to nn by idsia on 2008-03-11 14:52:34 ]]> Machine Learning: {P}roceedings of the Seventh Annual ConferenceICML170--178Is Learning Rate a Good Performance Criterion for Learning?1990nn 2008-03-11 14:52:34.0 Is Learning Rate a Good Performance Criterion for Learning? idsiahttp://www.bibsonomy.org/bibtex/29b829a731edff37d8f7964fc032c2de9/schaul schaul 2008-02-26T11:58:58+01:00 nn
Is Learning Rate a Good Performance Criterion for Learning?
C. Sammut and J. Cribb Machine Learning: Proceedings of the Seventh Annual Conference 170--178 (1990)
to nn by schaul on 2008-02-26 11:58:58 ]]> Machine Learning: {P}roceedings of the Seventh Annual ConferenceICML170--178Is Learning Rate a Good Performance Criterion for Learning?1990nn 2008-02-26 11:58:58.0