[EN] The progression in several cognitive tests for the same subjects at different ages provides valuable information about their cognitive development. One question that has caught recent interest is whether the same ...
[EN] Language models and other recent machine learning paradigms blur the distinction between generative and discriminative tasks, in a continuum that is regulated by the degree of pre- and post-supervision that is required ...
A more effective vision of machine learning systems entails tools that are able to improve task after task and to reuse the patterns and knowledge that are acquired previously for future tasks. This incremental, long-life ...
Hernández-Orallo, José; Baroni, Marco; Bieger, Jordi; Chmait, Nader; Dowe, David L; Hofmann, Katja; Martínez-Plumed, Fernando; Strannegard, Claes; Thorissons, Kristinn R.(Association for the Advancement of Artificial Intelligence (AAAI), 2017)
[EN] We report on a series of new platforms and events dealing with AI evaluation that may change the way in which AI systems are compared and their progress is measured. The introduction of a more diverse and challenging ...
Ferri Ramírez, César; Hernández Orallo, José; Telle, Jan Arne(2022-05-03)
Over the past decades in the field of machine teaching, several restrictions
have been introduced to avoid ‘cheating’, such as collusion-free or non-clashing teaching. However, these restrictions forbid several teaching ...
José Hernández-Orallo; Flach, Peter; Ferri Ramírez, César(Microtome Publishing, 2012)
[EN] Many performance metrics have been introduced in the literature for the evaluation of classification
performance, each of them with different origins and areas of application. These metrics include
accuracy, unweighted ...
The problem of estimating the class distribution (or prevalence) for a new unlabelled dataset (from a possibly different distribution) is a very common problem which has been addressed in one way or another in the past ...
Funes, Ana María(Universitat Politècnica de València, 2011-11-28)
Se presenta una aproximación que integra el agrupamiento jerárquico basado en distancias y el
conceptual. Muchas inconsistencias pueden surgir entre la distancia y las generalizaciones, por lo que proponemos un marco ...
[EN] Many areas of AI today use benchmarks and competitions with larger and wider sets of tasks. This tries to deter AI systems (and research effort) from specialising to a single task, and encourage them to be prepared ...
Bella Sanjuán, Antonio(Universitat Politècnica de València, 2011-11-28)
Data mining is useful in making single decisions. The problem is when there are several
related problems and the best local decisions do not make the best global result. We
propose to calibrate each local data mining ...
Castillo Andreu, Hector(Universitat Politècnica de València, 2012-11-29)
[ES] Esta tesis presenta el primer esquema de codificación MML para evaluar la simplicidad de modelos expresados en forma de programas lógicos estocásticos, así como su herramienta escrita en Prolog.
Desislavov Georgiev, Radosvet(Universitat Politècnica de València, 2021-10-18)
[EN] In the last decade, deep learning has achieved spectacular results in numerous applications. The increase in performance has been accompanied by a significant increase in the size of these networks, measured in number ...
Ramirez Cabrera, Jose Luis(Universitat Politècnica de València, 2014-03-13)
[ES] La ciencia de extraer información útil de grandes conjunto de datos o bases de datos es conocida como minería de datos. Este trabajo de master pretende realizar una comparación de un nueva técnica de minería de Datos, ...
García Puchades, Luis José(Universitat Politècnica de València, 2015-10-02)
[ES] En este proyecto se analizarán los datos abiertos de los aparcamientos de la ciudad
de Valencia con el fin de extraer la información suficiente que nos permita crear un
modelo para cada uno de los siete aparcamientos ...
Insa Cabrera, Javier(Universitat Politècnica de València, 2012-05-25)
La Inteligencia Arti cial (IA) siempre ha intentado emular la mayor virtud
del ser humano: su inteligencia. Sin embargo, y aunque han habido multitud
de esfuerzos por conseguirlo, a simple vista nos percatamos de que ...
Bedoya Puerta, Jorge Alonso(Universitat Politècnica de València, 2012-05-25)
Este trabajo aplica las distancias entre términos, aprovechando las características propias de cada distancia y la posibilidad de comparar desde tipos de datos proposicionales hasta representaciones jerárquicas. Las ...
Sapiña Escrivá, Fernando(Universitat Politècnica de València, 2012-09-13)
El proyecto consiste en una aplicación web para el mundo deportivo. La
información que se recoge en este proyecto va dirigida a todas las personas que están
vinculadas al deporte en las distintas escuelas deportivas de ...
Hernández Orallo, José; Muggleton, Stephen H.; Schmid, Ute; Zorn, Benjamin(Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2015-10)
This report documents the program and the outcomes of Dagstuhl Seminar 15442 “Approaches
and Applications of Inductive Programming”. After a short introduction to the state of the art to
inductive programming research, ...
Obiol Delgado, Iván(Universitat Politècnica de València, 2015-10-26)
En este documento se introduce un ejemplo de aplicación del aprendizaje por
refuerzo, enfrentándose al reto propuesto por el videojuego Space Invaders.
Empleando el Arcade Learning Environment (ALE) se realizan varias ...
[EN] Matrices are a very common way of representing and working with data in data science and artificial intelligence. Writing a small snippet of code to make a simple matrix transformation is frequently frustrating, ...