Artificial intelligence (AI), the wide spectrum of technologies aiming to give machines or
computers the ability to perform human-like cognitive functions, began in the 1940s with the …

The majority of existing algorithms for learning decision trees are greedy—a tree is induced
topdown, making locally optimal decisions at each node. In most cases, however, the …

In the last decade, malicious Android applications have increased rapidly because of the
popularity of Android mobile devices. In particular, some Android malware starts to use the …

A widely persisting interpretation of Occam's razor is that given two classifiers with the same
training error, the simpler classifier is more likely to generalize better. Within a long-lasting …

Robot Self-Awareness: Occam’s Razor for Fluents Page 1 Int. Journal of Math. Analysis, Vol. 6,
2012, no. 30, 1453 - 1455 Robot Self-Awareness: Occam’s Razor for Fluents Anna Gorbenko …

Abstract Machine learning techniques are gaining prevalence in the production of a wide
range of classifiers for complex real-world applications with nonuniform testing and …

A educação e o sucesso académico são de grande relevância na sociedade atual,
nomeadamente para o futuro profissional, económico e pessoal dos jovens. Tendo isto em …

Abstract Design verification has been a challenging problem due to the increasing
complexity of modern system-on-chip (SoC) designs and it is considered one of the costliest …

In der Arbeit wird die Eignung verschiedener maschineller Lernverfahren zur Erkennung
intraoperativer Wachheit untersucht. Verwendet werden Parameterauswahlverfahren und …

Las redes neuronales artificiales han demostrado en estos últimos años su valía a la hora
de resolver problemas complejos que con la programación tradicional son difíciles de …