ama.liglab.fr

AMA Team

Skip to primary content. Skip to secondary content. The AMA team (dAta analysis, Modeling and mAchine learning) was created in LIG. In January 2011 to work on machine learning and information modeling for complex data. Within this framework, the team is interested in developping new theoretical tools, as well as new prototypes to be deployed in classification or simulation settings, for example. The research activity in the AMA team is structured in the following three main themes:. Editions Eyrolles, 20...

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AMA Team | ama.liglab.fr Reviews

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Skip to primary content. Skip to secondary content. The AMA team (dAta analysis, Modeling and mAchine learning) was created in LIG. In January 2011 to work on machine learning and information modeling for complex data. Within this framework, the team is interested in developping new theoretical tools, as well as new prototypes to be deployed in classification or simulation settings, for example. The research activity in the AMA team is structured in the following three main themes:. Editions Eyrolles, 20...

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AMA Team | ama.liglab.fr Reviews

https://ama.liglab.fr

Skip to primary content. Skip to secondary content. The AMA team (dAta analysis, Modeling and mAchine learning) was created in LIG. In January 2011 to work on machine learning and information modeling for complex data. Within this framework, the team is interested in developping new theoretical tools, as well as new prototypes to be deployed in classification or simulation settings, for example. The research activity in the AMA team is structured in the following three main themes:. Editions Eyrolles, 20...

INTERNAL PAGES

ama.liglab.fr

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Projects | AMA Team

http://ama.liglab.fr/projects

Skip to primary content. Skip to secondary content. BioASQ ( view details. Intelligent Information Management, Targeted Competition Framework. Eric Gaussier, Ioannis Partalas. ARESOS ( view details. Reconstruction, Analyse et Accès aux Données dans les Grands Réseaux Socio-Sémantiques. Eric Gaussier, Gilles Bisson. Comportements émergents dans les réseaux économiques et sociaux. CAPES-COFECUB N Sh 749-12. Janvier 2012 – janvier 2014. Le projet scientifique se structure autour de 3 lignes de recherche: l’...

2

Open Seminars | AMA Team

http://ama.liglab.fr/seminars/open-seminar

Skip to primary content. Skip to secondary content. Here is the list of the AMA public seminars:. Hesam Amoualian and Georgios Balikas. 8220;Our participation at Machine Learning Summer School and European Summer School on Information Retrieval”. 8220;The Go game and the revolution of Monte Carlo”. 8220;Do you like to shop? Product Classification for e-Commerce”. 8220;Distributed learning with Spark”. 8220;Symbolic Representation of Time Series”. 8220;Health Monitoring on Social Media over Time”. 8220;Ef...

3

Publications | AMA Team

http://ama.liglab.fr/publications

Skip to primary content. Skip to secondary content. Entropy-Based Concentration Inequalities for Dependent Variables. Liva Ralaivola, Massih-Reza Amini). In International Conference on Machine Learning. Lille, France, 2015. Results of the BioASQ tasks of the Question Answering Lab at CLEF 2015. Georgios Balikas, Aris Kosmopoulos, Anastasia Krithara, Georgios Paliouras, Ioannis Kakadiaris). Toulouse, France, 2015. Improving Backfilling by using Machine Learning to predict Running Times. Springer, ed.).

4

Advanced Analytics and Learning on Temporal Data

http://ama.liglab.fr/aaltd_ecml2015

ECML/PKDD 2015 Workshop on:. Advanced Analytics and Learning on Temporal Data. Friday, September 11, 2015. Motivation, themes and goal. Semi-supervised and supervised classification on temporal data. Deep learning and learning representations for temporal data. Metric and kernel learning for temporal data. Advanced forecasting and prediction models. Functional data analysis methods. Dimensionality reduction, sparsity, algorithmic complexity and big data challenge. Please send to Ahlame Douzal. University...

5

Advanced Analytics and Learning on Temporal Data

http://ama.liglab.fr/aaltd_ecml2015/index.html

ECML/PKDD 2015 Workshop on:. Advanced Analytics and Learning on Temporal Data. Friday, September 11, 2015. Motivation, themes and goal. Semi-supervised and supervised classification on temporal data. Deep learning and learning representations for temporal data. Metric and kernel learning for temporal data. Advanced forecasting and prediction models. Functional data analysis methods. Dimensionality reduction, sparsity, algorithmic complexity and big data challenge. Please send to Ahlame Douzal. University...

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master-informatique.univ-grenoble-alpes.fr

Data-Science | Master Informatique

https://master-informatique.univ-grenoble-alpes.fr/projets-recherche-et-industrie/data-science

Projets : Recherche et Industrie. Artificial Intelligence and the Web. Graphics, Vision and Robotics. High-confidence Embedded and Cyberphysical Systems. Parallel, Distributed, Embedded Systems. RO, combinatoire et optimisation. Ubiquitous and Interactive Systems. Projets : Recherche et Industrie. Learning and Recognition in Vision. Modélisation et inférence de systèmes aléatoires complexes et structurés. DAta analysis, Modeling and mAchine learning. Efficient and Robust Distributed Systems.

master-informatique.univ-grenoble-alpes.fr

Artificial Intelligence and the Web | Master Informatique

https://master-informatique.univ-grenoble-alpes.fr/projets-recherche-et-industrie/artificial-intelligence-and-web

Projets : Recherche et Industrie. Artificial Intelligence and the Web. Graphics, Vision and Robotics. High-confidence Embedded and Cyberphysical Systems. Parallel, Distributed, Embedded Systems. RO, combinatoire et optimisation. Ubiquitous and Interactive Systems. Projets : Recherche et Industrie. Artificial Intelligence and the Web. Artificial Intelligence and the Web. Computer mediated exchange of structured knowledge. Types and reasoning for the Web. DAta analysis, Modeling and mAchine learning.

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Scholarships Information: Juli 2014

http://myscholarship-info.blogspot.com/2014_07_01_archive.html

Kumpulan informasi beasiswa S1, beasiswa S2, beasiswa S3, dan postdoctoral dari dalam dan luar negeri. Kamis, 31 Juli 2014. Position available - Cognitive Neuroscience Postdoctoral Fellowship in Mental Health. Candidates should apply for this position at the following link: https:/ utdirect.utexas. Application materials (curriculum vita, cover letter describing research interests and experience, three letters of recommendation) can be sent electronically to beevers@utexas.edu. Kirimkan Ini lewat Email.

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Home | Azienda per la mobilità Aquilana

Vai al menu del sito [1]. Vai direttamente ai contenuti del sito [2]. Azienda per la mobilità Aquilana. IL TRASPORTO A L'AQUILA. LA CARTA DEI SERVIZI. LO STANDARD DEI SERVIZI. LA TUTELA DELL'UTENTE. I TITOLI DI VIAGGIO. REGOLE DI VIAGGIO E SANZIONI. TESSERE E ABBONAMENTI ANNUALI. Iniziative in primo piano. Scopri le iniziative dell'AMA per migliorare la mobilità nel comprensorio aquilano. Bando di gara per acquisto di 6 autobus urbani Classe I. Consulta le linee per i giorni dell'adunata!

ama.liglab.fr

AMA Team

Skip to primary content. Skip to secondary content. The AMA team (dAta analysis, Modeling and mAchine learning) was created in LIG. In January 2011 to work on machine learning and information modeling for complex data. Within this framework, the team is interested in developping new theoretical tools, as well as new prototypes to be deployed in classification or simulation settings, for example. The research activity in the AMA team is structured in the following three main themes:. Editions Eyrolles, 20...

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AMA Angus McLewin Associates

Angus McLewin Associates (AMA). Specialises in consultancy, research and training in the role of the arts across the key areas of social inclusion/exclusion: arts and education, arts and criminal justice, arts and health, arts and community regeneration. Policy implementation, scoping and mapping of provision, programme implementation and briefings more. Programme development, programme delivery, evaluation reports and evaluation methodologies more. Contact us: t. 44 (0) 7974 640 741.