]> BibSonomy publications for /author/K%C3%B6nig http://www.bibsonomy.org/burst/author/K%C3%B6nig BibSonomy BuRST Feed for /author/K%C3%B6nig 2008-07-27T02:30:50+02:00 MedioVis: visual information seeking in digital libraries. dblphttp://www.bibsonomy.org/bibtex/2609cc9bf758d86e2c19df3b401f4fd47/dblp dblp 2008-07-13T00:00:00+02:00 dblp
MedioVis: visual information seeking in digital libraries.
Mathias Heilig and Mischa Demarmels and Werner A. König and Jens Gerken and Sebastian Rexhausen and Hans-Christian Jetter and Harald Reiterer AVI 490-491 (2008)
to dblp by dblp on 2008-07-13 00:00:00 ]]> AVIconf/avi/2008490-491MedioVis: visual information seeking in digital libraries.2008dblp 2008-07-13 00:00:00.0 Applying the Graph Minor Theorem to the Verification of Graph Transformation Systems. dblphttp://www.bibsonomy.org/bibtex/261f79bc227590639d6294bd10c150a44/dblp dblp 2008-07-08T00:00:00+02:00 dblp
Applying the Graph Minor Theorem to the Verification of Graph Transformation Systems.
Salil Joshi and Barbara König CAV 214-226 (2008)
to dblp by dblp on 2008-07-08 00:00:00 ]]> CAVconf/cav/2008214-226Lecture Notes in Computer ScienceApplying the Graph Minor Theorem to the Verification of Graph Transformation Systems.51232008dblp 2008-07-08 00:00:00.0 Sprachdialogsysteme im Kfz http://www.bibsonomy.org/bibtex/267d17ecaa6651cada7da6fa05a482d9b/flint63 flint63 2008-07-07T13:47:29+02:00 ai dialog language paper processing speech traffic v0805
Sprachdialogsysteme im Kfz
Stefan W. Hamerich and Lars König and Marcus E. Hennecke KI -- Künstliche Intelligenz 2005 29-34 (2005)
to ai dialog language paper processing speech traffic v0805 by flint63 on 2008-07-07 13:47:29 ]]> KI -- Künstliche Intelligenz329-34{Sprachdialogsysteme im Kfz}20052005ai dialog language paper processing speech traffic v0805 2008-07-07 13:47:29.0Sprachdialogsysteme für Kfz gibt es bereits seit 1996 und sie sind gegenwärtig in vielen Mittel- und Oberklassenfahrzeugen zu finden. Die Bandbreite heute erhältlicher Systeme reicht dabei von sprachbedienbaren Freisprecheinrichtungen über Nachrüstgeräte bis hin zu ab Werk erhältlichen vollintegrierten Infotainmentsystemen. Dieser Artikel beschreibt die Besonderheiten von Sprachdialogsystemen im automobilen Umfeld. Im Hinblick auf die Dialogmodellierung wird der Stand der gegenwärtigen Technik aufgezeigt und es werden Perspektiven diskutiert. SENECA: Evaluation einer Sprachbedienung im Kfz http://www.bibsonomy.org/bibtex/2cda4e4572767e0a30648f161f4ca19a0/flint63 flint63 2008-07-07T13:47:29+02:00 assist cognitive interface paper science speech test traffic user v0805
SENECA: Evaluation einer Sprachbedienung im Kfz
Arnd Engeln and Winfried König and Thomas Wittig Verkehrspsychologie: Mobilität -- Sicherheit -- Fahrerassistenz 371-383 (2004)
to assist cognitive interface paper science speech test traffic user v0805 by flint63 on 2008-07-07 13:47:29 ]]> Lengerich{Verkehrspsychologie: Mobilität -- Sicherheit -- Fahrerassistenz}371-383{SENECA: Evaluation einer Sprachbedienung im Kfz}2004assist cognitive interface paper science speech test traffic user v0805 2008-07-07 13:47:29.0 Traffic Optimization Under Route Constraints with Lagrangian Relaxation and Cutting Plane Methods. dblphttp://www.bibsonomy.org/bibtex/26547f856bed420f1762174c45e52346b/dblp dblp 2008-07-04T00:00:00+02:00 dblp
Traffic Optimization Under Route Constraints with Lagrangian Relaxation and Cutting Plane Methods.
Felix König OR 53-59 (2006)
to dblp by dblp on 2008-07-04 00:00:00 ]]> ORconf/or/200653-59Traffic Optimization Under Route Constraints with Lagrangian Relaxation and Cutting Plane Methods.2006dblp 2008-07-04 00:00:00.0 A distributed method for dynamic resolution of BGP oscillations. dblphttp://www.bibsonomy.org/bibtex/26030dda5be645a182f2aec1069cbc941/dblp dblp 2008-07-03T00:00:00+02:00 dblp
A distributed method for dynamic resolution of BGP oscillations.
Ehoud Ahronovitz and Jean-Claude König and Clement Saad IPDPS (2006)
to dblp by dblp on 2008-07-03 00:00:00 ]]> IPDPSconf/ipps/2006A distributed method for dynamic resolution of BGP oscillations.2006dblp 2008-07-03 00:00:00.0 Tourenplanung durch Einsatz naturanaloger Verfahren : Integration von Genetischen Algorithmen und Simulated Annealing http://www.bibsonomy.org/bibtex/254115c4d6219e34e9fda75123ec61316/apo apo 2008-06-23T15:41:18+02:00 da2 tps
Tourenplanung durch Einsatz naturanaloger Verfahren : Integration von Genetischen Algorithmen und Simulated Annealing
Oliver Wendt and Wolfgang König (1995)
to da2 tps by apo on 2008-06-23 15:41:18 ]]> Dt. Univ.-Verl. [u.a.]XXVI, 219 SWiesbadenTourenplanung durch Einsatz naturanaloger Verfahren : Integration von Genetischen Algorithmen und Simulated Annealing1995da2 tps 2008-06-23 15:41:18.0 Genetic Programming with Incremental Learning for Grammatical Inference http://www.bibsonomy.org/bibtex/2d0e7c438755ffcfde21ef6d3ba89586e/brazovayeye brazovayeye 2008-06-19T17:46:40+02:00 algorithms, genetic programming
Genetic Programming with Incremental Learning for Grammatical Inference
Ernesto Rodrigues and Heitor Silverio Lopes Sixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence (HIS-NCEI 2006) 47 (2006)
to algorithms, genetic programming by brazovayeye on 2008-06-19 17:46:40 ]]> Auckland, New ZealandSixth International Conference on Hybrid Intelligent Systems and Fourth Conference on Neuro-Computing and Evolving Intelligence (HIS-NCEI 2006)13-15 December47Genetic Programming with Incremental Learning for Grammatical Inference2006algorithms, genetic programming 2008-06-19 17:46:40.0We present an evolutionary algorithm for the inference of context-free grammars from positive and negative examples. The algorithm is based on genetic programming and uses a local optimisation operator that is capable of improving the learning task. Ordinary genetic operators are modified so as to bias the search. The system was evaluated using Tomita's language examples and results were compared with another similar approach. Results show that the proposed approach is promising and more robust than the other one. Genetic Programming - A Tool for Flexible Rule Extraction http://www.bibsonomy.org/bibtex/270b1720366aa87cff98e74cd2c01ae30/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 algorithms, genetic programming
Genetic Programming - A Tool for Flexible Rule Extraction
R. Konig and U. Johansson and L. Niklasson 2007 IEEE Congress on Evolutionary Computation 1304--1310 (2007)
to algorithms, genetic programming by brazovayeye on 2008-06-19 17:35:00 ]]> Singapore2007 IEEE Congress on Evolutionary Computation25-28 September1304--1310Genetic Programming - {A} Tool for Flexible Rule Extraction2007algorithms, genetic programming 2008-06-19 17:35:00.0Although data mining is performed to support decision making, many of the most powerful techniques, like neural networks and ensembles, produce opaque models. This lack of interpretability is an obvious disadvantage, since decision makers normally require some sort of explanation before taking action. To achieve comprehensibility, accuracy is often sacrificed by the use of simpler, transparent models, such as decision trees. Another alternative is rule extraction; i.e. to transform the opaque model into a comprehensible model, keeping acceptable accuracy. We have previously suggested a rule extraction algorithm named G-REX, which is based on genetic programming. One key property of G-REX, due to the use of genetic programming, is the possibility to use different representation languages. In this study we apply G-REX to estimation tasks. More specifically, three representation languages are evaluated using eight publicly available data sets. The quality of the extracted rules is compared to two standard techniques producing comprehensible models; multiple linear regression and the decision tree algorithm C&RT. The results show that G-REX outperforms the standard techniques, but that the choice of representation language is important. Building Neural Network Ensembles using Genetic Programming http://www.bibsonomy.org/bibtex/2020e09b8c49e392a0ad27f30c982dcc4/brazovayeye brazovayeye 2008-06-19T17:35:00+02:00 algorithms, genetic programming
Building Neural Network Ensembles using Genetic Programming
Ulf Johansson and Tuve Lofstrom and Rikard Konig and Lars Niklasson Proceedings of the 2006 IEEE Congress on Evolutionary Computation 2239--2244 (2006)
to algorithms, genetic programming by brazovayeye on 2008-06-19 17:35:00 ]]> VancouverProceedings of the 2006 IEEE Congress on Evolutionary Computation6-21 July2239--2244Building Neural Network Ensembles using Genetic Programming2006algorithms, genetic programming 2008-06-19 17:35:00.0In this paper we present and evaluate a novel algorithm for ensemble creation. The main idea of the algorithm is to first independently train a fixed number of neural networks (here ten) and then use genetic programming to combine these networks into an ensemble. The use of genetic programming makes it possible to not only consider ensembles of different sizes, but also to use ensembles as intermediate building blocks. The final result is therefore more correctly described as an ensemble of neural network ensembles. The experiments show that the proposed method, when evaluated on 22 publicly available data sets, obtains very high accuracy, clearly outperforming the other methods evaluated. In this study several micro techniques are used, and we believe that they all contribute to the increased performance. One such micro technique, aimed at reducing overtraining, is the training method, called tombola training, used during genetic evolution. When using tombola training, training data is regularly resampled into new parts, called training groups. Each ensemble is then evaluated on every training group and the actual fitness is determined solely from the result on the hardest part.