14 resultados para SUR estimation


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[ES] La documentación contenida en este registro ha servido de base para los siguientes documentos:

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This paper explores how audio chord estimation could improve if information about chord boundaries or beat onsets is revealed by an oracle. Chord estimation at the frame level is compared with three simulations, each using an oracle of increasing powers. The beat and chord segments revealed by an oracle are used to compute a chord ranking at the segment level, and to compute the cumulative probability of finding the correct chord among the top ranked chords. Oracle results on two different audio datasets demonstrate the substantial potential of segment versus frame approaches for chord audio estimation. This paper also provides a comparison of the oracle results on the Beatles dataset, the standard dataset in this area, with the new Billboard Hot 100 chord dataset.

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This paper proposes a new method for local key and chord estimation from audio signals. This method relies primarily on principles from music theory, and does not require any training on a corpus of labelled audio files. A harmonic content of the musical piece is first extracted by computing a set of chroma vectors. A set of chord/key pairs is selected for every frame by correlation with fixed chord and key templates. An acyclic harmonic graph is constructed with these pairs as vertices, using a musical distance to weigh its edges. Finally, the sequences of chords and keys are obtained by finding the best path in the graph using dynamic programming. The proposed method allows a mutual chord and key estimation. It is evaluated on a corpus composed of Beatles songs for both the local key estimation and chord recognition tasks, as well as a larger corpus composed of songs taken from the Billboard dataset.

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Providing on line travel time information to commuters has become an important issue for Advanced Traveler Information Systems and Route Guidance Systems in the past years, due to the increasing traffic volume and congestion in the road networks. Travel time is one of the most useful traffic variables because it is more intuitive than other traffic variables such as flow, occupancy or density, and is useful for travelers in decision making. The aim of this paper is to present a global view of the literature on the modeling of travel time, introducing crucial concepts and giving a thorough classification of the existing tech- niques. Most of the attention will focus on travel time estimation and travel time prediction, which are generally not presented together. The main goals of these models, the study areas and methodologies used to carry out these tasks will be further explored and categorized.

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Revisions of US macroeconomic data are not white-noise. They are persistent, correlated with real-time data, and with high variability (around 80% of volatility observed in US real-time data). Their business cycle effects are examined in an estimated DSGE model extended with both real-time and final data. After implementing a Bayesian estimation approach, the role of both habit formation and price indexation fall significantly in the extended model. The results show how revision shocks of both output and inflation are expansionary because they occur when real-time published data are too low and the Fed reacts by cutting interest rates. Consumption revisions, by contrast, are countercyclical as consumption habits mirror the observed reduction in real-time consumption. In turn, revisions of the three variables explain 9.3% of changes of output in its long-run variance decomposition.

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La microfauna bentónica y planctónica se ha convertido en una herramienta precisa de detección de las variaciones paleoceanográficas y paleoclimáticas. La combinación de grupos faunísticos diferentes, cuya respuesta ante los mismos factores ecológicos puede ser diversa, permite analizar de manera aún más concreta los cambios oceanográficos y climáticos en la misma área de estudio. Así mismo, el estudio de las asociaciones microfaunísticas con técnicas isotópicas y sedimentológicas, posibilitan la determinación del grado de afectación de los parámetros ecológicos considerados en las especies identificadas. La comparación de las variaciones específicas detectadas en el pasado con la distribución de dichas asociaciones en los modelos actuales, permite caracterizar los cambios pretéritos del medio que habitaban estos organismos. El presente trabajo está estructurado en dos bloques principales: por un lado, se estudia la microfauna (foraminíferos bentónicos, planctónicos y ostrácodos) en muestras superficiales de la plataforma, con el objetivo de determinar los parámetros ecológicos que controlan su distribución a lo largo del área de estudio. Por otra parte, se analizan 5 sondeos obtenidos a diferente profundidad, que permiten definir las variaciones oceanográficas y climáticas acontecidas en la plataforma Vasca a finales del Cuaternario, basándonos en los cambios de las asociaciones de microfauna que se suceden a lo largo de los sondeos. Estas variaciones faunísticas denotan, por tanto, cambios ambientales.

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This paper describes Mateda-2.0, a MATLAB package for estimation of distribution algorithms (EDAs). This package can be used to solve single and multi-objective discrete and continuous optimization problems using EDAs based on undirected and directed probabilistic graphical models. The implementation contains several methods commonly employed by EDAs. It is also conceived as an open package to allow users to incorporate different combinations of selection, learning, sampling, and local search procedures. Additionally, it includes methods to extract, process and visualize the structures learned by the probabilistic models. This way, it can unveil previously unknown information about the optimization problem domain. Mateda-2.0 also incorporates a module for creating and validating function models based on the probabilistic models learned by EDAs.

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Recently, probability models on rankings have been proposed in the field of estimation of distribution algorithms in order to solve permutation-based combinatorial optimisation problems. Particularly, distance-based ranking models, such as Mallows and Generalized Mallows under the Kendall’s-t distance, have demonstrated their validity when solving this type of problems. Nevertheless, there are still many trends that deserve further study. In this paper, we extend the use of distance-based ranking models in the framework of EDAs by introducing new distance metrics such as Cayley and Ulam. In order to analyse the performance of the Mallows and Generalized Mallows EDAs under the Kendall, Cayley and Ulam distances, we run them on a benchmark of 120 instances from four well known permutation problems. The conducted experiments showed that there is not just one metric that performs the best in all the problems. However, the statistical test pointed out that Mallows-Ulam EDA is the most stable algorithm among the studied proposals.

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[EUS] Ikerketa lan honen helburua entrenamendu programa baten ondoren elikagaien formek, anoak estimatzeko garaian duen eragina baloratzea da. Doitasun baxuenarekin estimaturiko elikagai amorfoak izan ziren, bai entrenamendu aurretik zein ondoren. Estimazioan eginiko akatsak txikitu egin ziren entrenamenduaren ondoren elikagai solido eta likidoetan, nahiz eta hilabete batzuk igaro ondoren akats hauek areagotu.

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[FR] Depuis plusieurs décennies, il existe une offre de scolarisation en langue basque dans les établissements scolaires du Pays basque nord (Pyrénées Atlantiques). Les élèves qui suivent une scolarité bilingue sont inscrits soit dans un établissement qui pratique la méthode dite immersive (Ikastolak de Seaska) soit dans un modèle à parité horaire dans un établissement public ou privé1. Ainsi, il est possible pour un élève de mener l’apprentissage de la langue basque en parallèle avec celui du français depuis l’école primaire jusqu’au lycée. Cette offre de scolarisation est en développement constant (38 ouvertures sur les 6 dernières années scolaires) et elle concerne aujourd’hui plus d’une école sur deux (58 %), 34 % des élèves du primaire et 43 % des enfants en maternelle.

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Resumen (Castellano): El acceso a los medicamentos ha sido en las últimas décadas un tema a debatir tanto en los países del Sur como en los países del Norte. Los precios impuestos por la industria farmacéutica para enfermedades tan graves como el VIH-SIDA han sido excesivos y consecuentemente inalcanzables para los países más pobres. Sin embargo, actualmente los países más ricos del Norte están sufriendo estas mismas consecuencias a causa del nuevo tratamiento contra la hepatitis C, cuyos precios astronómicos han excluido a numerosos enfermos del acceso al mismo. El derecho humano a la salud está siendo vulnerado, y las principales responsables son las empresas farmacéuticas, las cuales han corrompido los sistemas de salud. La fijación de precios monopólicos, tras el fortalecimiento de las patentes farmacéuticas con la firma del Acuerdo sobre Derechos de Propiedad Intelectual relacionados con el Comercio (ADPIC), ha constituido un obstáculo para la realización del mismo, agrandado por las disposiciones ADPIC-plus incluidas en los tratados de libre comercio . No obstante, la consolidación de la industria de medicamentos genéricos ha logrado competir contra ellas, suministrando medicamentos asequibles y promoviendo los intereses de los más necesitados.

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The potential impact that offshore wind farms may cause on nearby marine radars should be considered before the wind farm is installed. Strong radar echoes from the turbines may degrade radars' detection capability in the area around the wind farm. Although conventional computational methods provide accurate results of scattering by wind turbines, they are not directly implementable in software tools that can be used to conduct the impact studies. This paper proposes a simple model to assess the clutter that wind turbines may generate on marine radars. This method can be easily implemented in the system modeling software tools for the impact analysis of a wind farm in a real scenario.