Search results for "PREDICT"
showing 10 items of 2174 documents
Determination of fatty acids and lipid classes in salmon oil by near infrared spectroscopy
2017
International audience; Near-infrared (NIR) spectroscopy was evaluated as a rapid method for the determination of oleic, palmitic, linoleic and linolenic acids as well as omega-3, omega-6, and to predict polyunsaturated, monounsaturated and saturated fatty acids, together with triacylglycerides, diglycerides, free fatty acids and ergosterol in salmon oil. To do it, Partial Least Squares (PLS) regression models were applied to correlate NIR spectra with aforementioned fatty acids and lipid classes. Results obtained were validated in front of reference procedures based on high performance thin layer and gas chromatography. PLS-NIR has a good predictive capability with relative root mean squar…
Semantic place recognition for context aware services
2012
Extracting the meaning of the most significant places, which are frequently visited by a mobile user, is a relevant problem in mobile computing. Predicting semantic meaning of such places is useful in many areas. The problem of place semantic annotation of a user location can be challenging for service providers. Awareness of user activities is very important for development of personalized applications, which can be used in health care systems, living systems, etc. Predicting location of mobile users not only enables development of high quality location-based services and applications, but also improves resource reservation in wireless networks. In this research several solutions for seman…
The Three Steps of Clustering in the Post-Genomic Era: A Synopsis
2011
Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from Statistics to Computer Science. Following Handl et al., it can be summarized as a three step process: (a) choice of a distance function; (b) choice of a clustering algorithm; (c) choice of a validation method. Although such a purist approach to clustering is hardly seen in many areas of science, genomic data require that level of attention, if inferences made from cluster analysis have to be of some relevance to biomedical research. Unfortunately, the high dimensionality of the data and their noisy nature makes cluster analysis of genomic data particul…
Comparison of Game-Related Statistics in Men's International Championships between Winning and Losing Teams according to Margin of Victory
2014
The aims of this study were (i) to compare water polo game-related statistics by game outcome (winning and losing teams) and margins of victory (close games, unbalanced games, and very unbalanced games), and (ii) to identify characteristics that mark the differences in performances for each group of margin of victory. The game-related statistics of the 308 men's matches played in seven International Championships (Olympic Games, World and European Championships) were analysed. A cluster analysis established three groups (close games, unbalanced games, and very unbalanced games) according to the margin of victory. Differences between game outcomes (winning or losing teams) and margins of vic…
Semi-parametric estimation of conditional intensity functions in inhomogeneous space-time point processes
2009
Dealing with data coming from a space-time inhomogeneous process, there is often the need of obtaining estimates of the conditional intensity function, without a complete defi nition of a parametric model and so nonparametric estimation is required: isotropic or anisotropic kernel estimates can be used. The properties of the intensities estimated are not always good, expecially in seismological field. We could try to choose the bandwidth in order to have good predictive properties of the estimated intensity function. Since a direct ML approach can not be followed, we use an estimation procedure based on the further increments of likelihood obtained adding a new observation. Similarly to cro…
Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological N…
2020
The framework of information dynamics allows the dissection of the information processed in a network of multiple interacting dynamical systems into meaningful elements of computation that quantify the information generated in a target system, stored in it, transferred to it from one or more source systems, and modified in a synergistic or redundant way. The concepts of information transfer and modification have been recently formulated in the context of linear parametric modeling of vector stochastic processes, linking them to the notion of Granger causality and providing efficient tools for their computation based on the state&ndash
Satisfacció i rendiment dels docents als centres educatius de la Comunitat Valenciana
2004
Els nombrosos estudis realitzats al voltant de l'associació entre la satisfacció laboral i el rendiment en el treball han contribuït al fet que els dos constructes esdevinguen, en l'actualitat, elements centrals en l'anàlisi de la conducta organitzacional. A partir de les dades obtingudes d'una mostra del professorat de centres no universitaris de la Comunitat Valenciana, ens hem proposat de contribuir a la comprensió de la relació entre aquestes dues variables. Els nostres resultats mostren, d'una banda, que la satisfacció amb el treball i el rendiment estan significativament relacionats. D'altra banda, l'estimació en l'ordre de la relació és de reciprocitat. És a dir, la satisfacció pot a…
Validación de una Medida de Clima de Servicio en las Organizaciones
2012
Service climate is critical for organizations pertaining to the service sector. It reflects the importance organizations attribute to service quality and efforts to please customers. Using previous work of Schneider, White, and Paul (1998) as starting point, this research validates a measure of service climate in the Spanish language. Data from two survey study projects were brought together. A total of 120 hotels, located in Spain, participated in the research. The sample consisted of 508 frontline hotel employees distributed in 152 work-units. Our results confirmed that construct and predictive validity are satisfactory, with four factors describing the facets of service climate: Global S…
Predictive control of convex polyhedron LPV systems with Markov jumping parameters
2012
The problem of receding horizon predictive control of stochastic linear parameter varying systems is discussed. First, constant coefficient matrices are obtained at each vertex in the interior of linear parameter varying system, and then, by considering semi-definite programming constraints, weight coefficients between each vertex are calculated, and the equal coefficients matrices for the time variable system are obtained. Second, in the given receding horizon, for each mode sequence of the stochastic convex polyhedron linear parameter varying systems, the optimal control input sequences are designed in order to make the states into a terminal invariant set. Outside of the receding horizon…
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG
2022
Seizure prediction using intracranial electroencephalogram (iEEG) has attracted an increasing attention during recent years. iEEG signals are commonly recorded in the form of multiple channels. Many previous studies generally used the iEEG signals of all channels to predict seizures, ignoring the consideration of channel selection. In this study, a method of one-dimensional convolutional neural networks (1D-CNN) combined with channel selection strategy was proposed for seizure prediction. First, we used 30-s sliding windows to segment the raw iEEG signals. Then, the 30-s iEEG segments, which were in three channel forms (single channel, channels only from seizure onset or free zone and all c…