Intelligent Systems Group

ISBN:

Keywords:

Abstract:

One important challenge in the field of automatic description of data consists of assessing the quality of the obtained results. This paper explores a possible approach to solve this problem based on analysis performed by readers that are familiar with the specific context. We show an example with a practical application.

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PRAI - Progress in Artificial Intelligence

We are very pleased to announce the arrival of the journal's website:

http://www.springer.com/journal/13748

Manuscripts should be submitted to the journal online at (Editorial Manager system)

https://www.editorialmanager.com/prai/

The first issue will appear in January 2012 and will contain seven overview and regular papers on AI techniques.

We appreciate if you distribute the attached flyer among your colleagues.

Kindest Regards,
Francisco Herrera, Editor in Chief
Cesar Analide - Managing Editor

Conferencia: "Understanding Querying Behavior through Simulation"
Dr. Leif Azzopardi, University of Glasgow

Abstract:

Typically, Information Retrieval evaluation focuses on measuring the performance of
the system's ability at retrieving relevant information, and not the query's ability.
However, the effectiveness of a retrieval system is strongly influenced by the quality of
the query submitted.

In this talk, I shall present the findings from a query side evaluation which examines

Titulo: Improving Search Effectiveness in Sentence Retrieval and Novelty Detection

Autor: Ronald Teijeira Fernández
Director de la tesis: David E. Losada

Lugar: Salón de Actos de la ETSE
Fecha y Hora: Viernes 20 de Mayo, 11.30h
 

Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA)

7 al 11 de Noviembre, 2011

TENERIFE, ESPAÑA

PÁGINA WEB: www.caepia11.es

PRESENTACIÓN

La Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA) es un foro
de carácter internacional abierto a todos los investigadores. CAEPIA'11 incluirá en su

URL:

Keywords:

Abstract:

A simple and fast method to accelerate the global optimization approaches used in array thinning is described. This method tabulates the contribution of every array element to the far-field pattern in order to improve the numerical efficiency of the optimization algorithm employed. Experiments using our proposal alongside with a genetic algorithm reduce the search computation time about 90%. Simulation results for both linear and planar arrays are shown.

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Fechas e inscripción:

• El seminario tendrá lugar el 29 de abril de 2011 en el Centro Cultural ‘Muralla Romana’ de Gijón.
• La inscripción es gratuita y estará abierta hasta el 15 de Febrero de 2011.
• Para información sobre el Seminario, dirigirse a su coordinador, Prof. Alejandro Sobrino, alejandro.sobrino@usc.es.