El discurso antifeminista de las pícaras. Misoginia en la picaresca femenina.

Sin resume

Time Series Cluster Kernel for Learning Similarities between Multivariate Time Series with Missing Data

Similarity-based approaches represent a promising direction for time series analysis. However, many such methods rely on parameter tuning, and some have shortcomings if the time series are multivariate (MTS), due to dependencies between attributes, or the time series contain missing data. In this paper, we address these challenges within the powerful context of kernel methods by proposing the robust \emph{time series cluster kernel} (TCK). The approach taken leverages the missing data handling properties of Gaussian mixture models (GMM) augmented with informative prior distributions. An ensemble learning approach is exploited to ensure robustness to parameters by combining the clustering results of many GMM to form the final kernel. We evaluate the TCK on synthetic and real data and compare to other state-of-the-art techniques. The experimental results demonstrate that the TCK is robust to parameter choices, provides competitive results for MTS without missing data and outstanding results for missing data.Comment: 23 pages, 6 figure

Matemáticas sobre Berlín

En nuestro viaje a Berlín, por supuesto, podemos poner nuestra mirada en las referencias a las matemáticas que van surgiendo a nuestro paso. El primer encuentro es, como ocurre tantas veces, con la geometría, de la mano de edificios y entramados urbanos que recuerdan leyes y diseños

Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks

Clinical measurements that can be represented as time series constitute an important fraction of the electronic health records and are often both uncertain and incomplete. Recurrent neural networks are a special class of neural networks that are particularly suitable to process time series data but, in their original formulation, cannot explicitly deal with missing data. In this paper, we explore imputation strategies for handling missing values in classifiers based on recurrent neural network (RNN) and apply a recently proposed recurrent architecture, the Gated Recurrent Unit with Decay, specifically designed to handle missing data. We focus on the problem of detecting surgical site infection in patients by analyzing time series of their blood sample measurements and we compare the results obtained with different RNN-based classifiers

Una semana dedicada a las matemáticas

La semana matemática en el IES Valle del Jiloca

Aprender enseñando: una crónica de la III JEMA

Los asistentes a la III Jornada de Educación Matemática de Aragón, celebrada los días 22 y 23 del pasado mes de febrero en la facultad de educación de la Universidad de Zaragoza, y organizada por la Sociedad Aragonesa «Pedro Sánchez Ciruelo» de Profesores de Matemáticas, tuvimos ocasión de constatar esta famosa cita de Cicerón

Mileto: no solo Tales

El que lee mucho y anda mucho..

Leer matemáticas a un clic de ratón

Es sobradamente conocida la necesidad de reforzar la competencia lectora en nuestro alumnado. Hay numerosos argumentos para que se trabaje este aspecto desde cualquiera de las áreas de conocimiento. Pero, en Matemáticas, si cabe, es aún más necesario, por varios motivos. Por un lado, mal se puede abordar la resolución de una situación si no se ha comprendido completamente ésta. Y ése es el problema de los problemas: la comprensión del enunciado, imposible sin una competencia lectora bien desarrollada

Fotografías y porcentajes

Las actividades surgen como respuesta a cuestiones que plantea el profesor. Si no se dispone de mucho tiempo, es interesante que el profesor prepare previamente las imágenes que se van a trabajar para que los alumnos las descarguen antes de comenzar

First xiphosuran traceway in the middle Muschelkalk facies (Middle Triassic) of the Catalan Basin (NE Iberian Peninsula)

In the last decade, the first ichnoassamblages from the middle Muschelkalk facies (upper Anisian-middle Ladinian) of the Catalan Basin (NE Iberian Peninsula) have been discovered. Herein, the first xiphosuran trace fossils are described from the locality of Penya Rubí, a newly discovered ichnosite from the Catalan Basin. The finding opens a window into peri-Tethys ecosystems with coastal influence. The traceway is referred to the ichnogenus Kouphichnium, a locomotion trace attributed to xiphosurans. The traceway preserves telson grooves and different imprint morphologies from the various appendages. The traceway pattern and arrangement of the different traces suggest a crawling locomotion style. The sedimentology suggests a coastal zone with areas influenced by tides (intertidal flat). The morphological variations of the ichnites are correlated to substrate rheology, the locomotion of the tracemaker and environmental conditions