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Sous-collection Lecture Notes in Artificial Intelligence
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Titre : CDPS: Constrained DTW-Preserving Shapelets Type de document : Article/Communication Auteurs : Hussein El Amouri, Auteur ; Thomas Lampert, Auteur ; Pierre Gançarski, Auteur ; Clément Mallet , Auteur
Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2023 Collection : Lecture notes in Computer Science Sous-collection : Lecture Notes in Artificial Intelligence num. 13713 Projets : HIATUS / Giordano, Sébastien Conférence : ECML PKDD 2022, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 19/09/2022 23/09/2022 Grenoble France Proceedings Springer Projets : HERELLES / Gançarski, Pierre Importance : pp 21 - 37 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique
[Termes IGN] analyse de données
[Termes IGN] analyse de groupement
[Termes IGN] classification
[Termes IGN] déformation temporelle dynamique (algorithme)
[Termes IGN] distance euclidienne
[Termes IGN] jeu de données localisées
[Termes IGN] série temporelle
[Termes IGN] traitement de données localisées
[Termes IGN] transformationRésumé : (auteur) The analysis of time series for clustering and classification is becoming ever more popular because of the increasingly ubiquitous nature of IoT, satellite constellations, and handheld and smart-wearable devices, etc. The presence of phase shift, differences in sample duration, and/or compression and dilation of a signal means that Euclidean distance is unsuitable in many cases. As such, several similarity measures specific to time-series have been proposed, Dynamic Time Warping (DTW) being the most popular. Nevertheless, DTW does not respect the axioms of a metric and therefore Learning DTW-Preserving Shapelets (LDPS) have been developed to regain these properties by using the concept of shapelet transform. LDPS learns an unsupervised representation that models DTW distances using Euclidean distance in shapelet space. This article proposes constrained DTW-preserving shapelets (CDPS), in which a limited amount of user knowledge is available in the form of must link and cannot link constraints, to guide the representation such that it better captures the user’s interpretation of the data rather than the algorithm’s bias. Subsequently, any unconstrained algorithm can be applied, e.g. K-means clustering, k-NN classification, etc, to obtain a result that fulfils the constraints (without explicit knowledge of them). Furthermore, this representation is generalisable to out-of-sample data, overcoming the limitations of standard transductive constrained-clustering algorithms. CLDPS is shown to outperform the state-of-the-art constrained-clustering algorithms on multiple time-series datasets. Numéro de notice : C2022-052 Affiliation des auteurs : UGE-LASTIG+Ext (2020- ) Autre URL associée : vers HAL Thématique : GEOMATIQUE/INFORMATIQUE/MATHEMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-031-26387-3_2 Date de publication en ligne : 17/03/2023 En ligne : https://doi.org/10.1007/978-3-031-26387-3_2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=103157
Titre : Multi-agent multi-level cartographic generalisation in CartAGen Type de document : Article/Communication Auteurs : Adrien Maudet Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Computer Science Sous-collection : Lecture Notes in Artificial Intelligence num. 8473 Projets : 1-Pas de projet / Gançarski, Pierre Conférence : PAAMS 2014, 12th International Conference on Practical Applications of Agents and Multi-Agent Systems, Advances in Practical Applications of Heterogeneous Multi-Agent Systems 04/06/2014 06/06/2014 Salamanque Espagne Proceedings Springer Importance : pp 355 - 358 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] CartAGen (plateforme de généralisation)
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] modèle (conceptuel) de généralisation
[Termes IGN] modèle orienté agent
[Termes IGN] niveau de détail
[Termes IGN] programmation par contraintes
[Vedettes matières IGN] GénéralisationRésumé : (auteur) The objective of cartographic generalisation is to simplify geographic data in order to create legible maps when scale decreases. This demonstration presents the implementation of a work in progress, aiming at defining a multi-agent, multi-level solution for generalisation. The demonstration introduces the basics of cartographic generalisation and shows some aspects of the model currently being developed, including parameterisation and detailed execution of some interactions, as well as results. Numéro de notice : C2014-017 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-319-07551-8_37 En ligne : http://dx.doi.org/10.1007/978-3-319-07551-8_37 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78561 Representation of interactions in a multi-level multi-agent model for cartography constraint solving / Adrien Maudet (2014)
Titre : Representation of interactions in a multi-level multi-agent model for cartography constraint solving Type de document : Article/Communication Auteurs : Adrien Maudet Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2014 Collection : Lecture notes in Computer Science Sous-collection : Lecture Notes in Artificial Intelligence num. 8473 Projets : 1-Pas de projet / Gançarski, Pierre Conférence : PAAMS 2014, 12th International Conference on Practical Applications of Agents and Multi-Agent Systems, Advances in Practical Applications of Heterogeneous Multi-Agent Systems 04/06/2014 06/06/2014 Salamanque Espagne Proceedings Springer Importance : pp 183 - 194 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] modèle orienté agent
[Termes IGN] niveau de détail
[Termes IGN] objet cartographique
[Termes IGN] programmation par contraintes
[Termes IGN] représentation multiple
[Termes IGN] système multi-agentsRésumé : (auteur) The objective of cartographic generalisation is to simplify geographic data in order to create legible maps when scale decreases. It often requires to reason at different levels of abstraction (e.g. a building, a city). To automate this process, Multi-Agent approaches have been used for several years. Map objects (e.g. buildings) are modelled as autonomous entities that try to solve constraints through appropriate transformations. Yet, those approaches are not able to deal with all situations that appear between cartographic objects in a map. Indeed, though a map intrinsically involves objects that belong to several description, scale or organisation levels, there is no explicit multi-level representation in agent-based cartographic models. Thus we assume that the use of a multi-level multi-agent model would improve the automated generalisation process. Especially, the PADAWAN model is a multi-agent model offering multi-level capabilities which meet quite well the requirements for the multi-level organisation of cartographic objects. In this paper, we expose how we use this model on the one hand, to reify multi-level relations between cartographic agents, and on the other hand, to represent the constraints and the actions proposed to solve them, as interactions between the agents. Numéro de notice : C2014-019 Affiliation des auteurs : LASTIG COGIT+Ext (2012-2019) Thématique : GEOMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-319-07551-8_16 En ligne : http://dx.doi.org/10.1007/978-3-319-07551-8_16 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=78583
Titre : Abstraction in cartographic generalization Type de document : Article/Communication Auteurs : Sébastien Mustière Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2010 Collection : Lecture notes in Computer Science Sous-collection : Lecture Notes in Artificial Intelligence Projets : 1-Pas de projet / Gançarski, Pierre Conférence : ISMIS 2000, 12th international symposium Foundations of Intelligent Systems 11/10/2000 14/10/2000 Charlotte Caroline du nord - Etats-Unis Proceedings Springer Importance : pp 638 - 644 Format : 21 x 30 cm Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] acquisition de connaissances
[Termes IGN] cadre conceptuel
[Termes IGN] généralisation automatique de données
[Termes IGN] généralisation cartographique automatisée
[Termes IGN] objet géographique
[Termes IGN] représentation multiple
[Vedettes matières IGN] GénéralisationRésumé : (Auteur) This article shows that cartographic generalization is best viewed as representing (formulating, renaming knowledge) and abstracting (simplifying a given representation). The general process of creating map is described so as to show how it fits into an abstraction framework developed in artificial intelligence to emphasize the difference between abstraction and representation. The utility of the framework lies in its efficiency to automate knowledge acquisition for the cartographic generalization as a combined acquisition of knowledge for abstraction and knowledge for changing a representation. Numéro de notice : 14146 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/3-540-39963-1_67 Date de publication en ligne : 02/07/2002 En ligne : http://dx.doi.org/10.1007/3-540-39963-1_67 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64310
Titre : Designing agent behaviour in agent-based simulation through participatory method Type de document : Article/Communication Auteurs : Patrick Taillandier Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2010 Collection : Lecture notes in Computer Science Sous-collection : Lecture Notes in Artificial Intelligence Projets : 2-Pas d'info accessible - article non ouvert / Gançarski, Pierre Conférence : PRIMA 2009, 12th International Conference on Principles and Practice of Multi-Agent Systems 14/12/2009 16/12/2009 Nagoya Japon Proceedings Springer Importance : pp 571 - 578 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Intelligence artificielle
[Termes IGN] agent (intelligence artificielle)
[Termes IGN] analyse multicritère
[Termes IGN] comportement
[Termes IGN] outil d'aide à la décision
[Termes IGN] simulation
[Termes IGN] système multi-agentsRésumé : (auteur) Agent-based simulation has demonstrated its usefulness for the modelling of complex systems. However, the simulation widely depends on the agent behaviour designing. In order to facilitate the definition of such behaviour, we propose an approach based on a participatory method: a domain expert directly enters his knowledge about entities in a specific environment. In this paper, we propose to formalise the agent behaviour by using a combination of production rules and of a multi-criteria decision making method. An experiment, carried out in the domain of ecological simulation, is presented. This first experiment shows promising results for our approach. Numéro de notice : C2010-041 Affiliation des auteurs : COGIT+Ext (1988-2011) Autre URL associée : vers HAL Thématique : GEOMATIQUE/INFORMATIQUE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1007/978-3-642-11161-7_43 En ligne : https://dx.doi.org/10.1007/978-3-642-11161-7_43 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=95968 Knowledge engineering and management by the masses, 17th international conference, EKAW 2010, Lisbon, Portugal, October 2010 / Philipp Cimiano (2010)
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