¿Cuáles son los objetivos de Aepia?

Aepia es una asociación formada por docentes, investigadores y profesionales que comparten intereses en temas relacionados con la Inteligencia Artificial.

Ver más información...

http://sci2s.ugr.es/caepia18/img/misc/about-us.png

La Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA) es un foro bienal abierto a investigadores de todo el mundo para presentar y discutir los últimos avances científicos y tecnológicos en Inteligencia Artificial. Como en las anteriores ediciones, los objetivos son: facilitar la diseminación de nuevas ideas y experiencias, fortalecer los lazos entre los distintos grupos de investigación implicados, promover el trasvase de conocimiento entre nuevos investigadores y grupos consolidados, y ayudar a difundir los nuevos desarrollos hacia la sociedad.

Visitar la web de la conferencia...

Advanced Statistics and Data Mining summer school (2017)

This summer school will be held in Boadilla del Monte, near Madrid, from June 26th to July 7th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses.

For the third time in a row, INOMICS has selected our summer school as one of the world's top ten summer schools in mathematics and statistics. You can read more at http://bit.ly/2oR00GI

Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website:

http://www.dia.fi.upm.es/ASDM

There is a 25% discount for members of Spanish AEPIA and SEIO societies.  

School coordinators:

Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Alberto Ogbechie.


*** List of courses ***

* Week 1 (June 26th - June 30th, 2017) *

1st session: 9:45-12:45
Course 1: Bayesian Networks (15 h)
Course 2: Time Series(15 h)

2nd session: 13:45-16:45
Course 3: Supervised Pattern Recognition (15 h)
Course 4: Bayesian Inference (15 h)

3rd session: 17:00 - 20:00
Course 5: Neural Networks and Deep Learning (15 h)
Course 6: Unsupervised Pattern Recognition (15 h)

* Week 2 (July 3rd - July 7th, 2017) *

1st session: 9:45-12:45
Course 7: Statistical Inference (15 h)
Course 8: Big Data with Apache Spark (15 h)

2nd session: 13:45-16:45
Course 9: Text Mining (15 h)
Course 10: Feature Subset Selection (15 h)
      Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka.     

3rd session: 17:00-20:00
Course 11: Support Vector Machines and Regularized Learning (15 h)
Course 12: Hidden Markov Models (15 h)

Inscríbete en Aepia

Easy to startDisfruta de las ventajas de ser socio de AEPIA.

Leer más...

Socios institucionales

Native RTL SupportConoce los socios institucionales de AEPIA.

Leer más...

Grupos de I+D en IA

Native RTL SupportConoce los grupos de investigación que desarrollan su labor en alguna de las áreas de la Inteligencia Artificial.

Leer más...

Joomla templates by Joomlashine