2,163 research outputs found
A priori ratemaking using bivariate poisson regression models
In automobile insurance, it is useful to achieve a priori ratemaking by resorting to generalized linear models, and here the Poisson regression model constitutes the most widely accepted basis. However, insurance companies distinguish between claims with or without bodily injuries, or claims with full or partial liability of the insured driver. This paper examines an a priori ratemaking procedure when including two di®erent types of claim. When assuming independence between claim types, the premium can be obtained by summing the premiums for each type of guarantee and is dependent on the rating factors chosen. If the independence assumption is relaxed, then it is unclear as to how the tariff system might be affected. In order to answer this question, bivariate Poisson regression models, suitable for paired count data exhibiting correlation, are introduced. It is shown that the usual independence assumption is unrealistic here. These models are applied to an automobile insurance claims database containing 80,994 contracts belonging to a Spanish insurance company. Finally, the consequences for pure and loaded premiums when the independence assumption is relaxed by using a bivariate Poisson regression model are analysed.
Porqpine: a peer-to-peer search engine
In this paper, we present a fully distributed and collaborative search
engine for web pages: Porqpine. This system uses a novel query-based model
and collaborative filtering techniques in order to obtain user-customized
results. All knowledge about users and profiles is stored in each user
node?s application. Overall the system is a multi-agent system that runs on
the computers of the user community. The nodes interact in a peer-to-peer
fashion in order to create a real distributed search engine where
information is completely distributed among all the nodes in the network.
Moreover, the system preserves the privacy of user queries and results by
maintaining the anonymity of the queries? consumers and results? producers.
The knowledge required by the system to work is implicitly caught through
the monitoring of users actions, not only within the system?s interface but
also within one of the most popular web browsers. Thus, users are not
required to explicitly feed knowledge about their interests into the system
since this process is done automatically. In this manner, users obtain the
benefits of a personalized search engine just by installing the application
on their computer. Porqpine does not intend to shun completely conventional
centralized search engines but to complement them by issuing more accurate
and personalized results.Postprint (published version
Contractions of low-dimensional nilpotent Jordan algebras
In this paper we classify the laws of three-dimensional and four-dimensional
nilpotent Jordan algebras over the field of complex numbers. We describe the
irreducible components of their algebraic varieties and extend contractions and
deformations among them. In particular, we prove that J2 and J3 are irreducible
and that J4 is the union of the Zariski closures of two rigid Jordan algebras.Comment: 12 pages, 3 figure
Un recull dels darrers estudis geogràfics sobre el Japó (1980-1992)
Le centre d'Études Japonaises de l'Université Autonome de Barcelone a pour but l'étutle interdisciplinaire du Japon, la promotion et la coordination des projets de recherche et l'enseignement de japonologie. Cet article présente un recueil d'études géographiques sur le Japon (1980-1992) ?i partir de deux sources: la Sixième Conférence Internationale de l'Association Européenne d'Études Japonaises (Berlin, 1991) et la base de données Dissertation Abstracts Ondisc (recherche réalide dans les universités d' Amérique du Nord et, après 1988, dans tous les pays du monde).The objectives of The Centre of Japanese Studies at the Universitat Autònoma de Barcelona is the multidisciplinary study of Japan, through the promotion and coordination of research projects and teaching on Japanology. This article is a compendium of geographical studies on Japan between 1980 and 1992, taken from two sources: the 6th International Conference of the European Association of Japanese Studies (Berlin, 1991) and the Dissertation Abstracts Ondisc data base (a research project carried out initially by North American Universities and which has spread worldwide since 1988).El Centro de Estudios Japoneses de la Universitat Autònoma de Barcelona tiene como finalidad el estudio pluridisciplinario del Japón, y promueve y coordina proyectos de investigación y docencia sobre japonología. El articulo presenta una colección de estudios geográficos sobre el Japón (1980-1992) a partir de dos fuentes: la Sexta Conferencia Internacional de la Asociación Europea de Estudios Japoneses (Berlín, 1991), y la base de datos Dissertation Abstracts Ondisc (investigación realizada en las universidades norteamericanas, y desde 1988, en todo el mundo).El Centre d'Estudis Japonesos de la Universitat Autònoma de Barcelona té com a finalitat l'estudi interdisciplinari del Japó i promou i coordina projectes d'investigació i docència sobre japonologia. L'article és un recull d'estudis geogrhfics sobre el Japó (1980-1992) extrets de dues fonts: la Sisena Conferència Internacional de l'Associació Europea d'Estudis Japonesos (Berlín, 1991), i la base de dades Dissertation Abstracts Ondisc (recerca realitzada a les universitats nord-americanes, i des del 1988, a tot el món)
Motor priming in virtual reality can augment motor-imagery training efficacy in restorative brain-computer interaction: a within-subject analysis
The use of Brain-Computer Interface (BCI) technology in neurorehabilitation provides new strategies to overcome stroke-related motor limitations. Recent studies demonstrated the brain's capacity for functional and structural plasticity through BCI. However, it is not fully clear how we can take full advantage of the neurobiological mechanisms underlying recovery and how to maximize restoration through BCI. In this study we investigate the role of multimodal virtual reality (VR) simulations and motor priming (MP) in an upper limb motor-imagery BCI task in order to maximize the engagement of sensory-motor networks in a broad range of patients who can benefit from virtual rehabilitation training.info:eu-repo/semantics/publishedVersio
Personalizing paper-and-pencil training for cognitive rehabilitation: a feasibility study with a web-based Task Generator
Cognitive impairments impose important limitations in
the performance of activities of daily living. Although there is
important evidence on cognitive rehabilitation benefits, its
implementation is limited due to the demands in terms of time and
human resources. Moreover, many cognitive rehabilitation
interventions lack a solid theoretical framework in the selection of
paper-and-pencil tasks by the clinicians. In this endeavor, it would be
useful to have a tool that could generate standardized paper-and pencil tasks, customized according to patients’ needs. Combining the
advantages of information and communication technologies (ICT’s)
with a participatory design approach involving 20 health
professionals, a novel web-tool for the generation of cognitive
rehabilitation training was developed: the Task Generator (TG). The
TG is a web-based tool that systematically addresses multiple
cognitive domains, and easily generates highly personalized paper and-pencil training tasks. A clinical evaluation of the TG with twenty
stroke patients showed that, by enabling the adaptation of task
parameters and difficulty levels according to patient cognitive
assessment, this tool provides a comprehensive cognitive training.info:eu-repo/semantics/publishedVersio
An integrative framework for tailoring virtual reality based motor rehabilitation after stroke
Stroke is a leading cause of life-lasting motor impairments, undermining
the quality of life of stroke survivors and their families, and representing a major chal lenge for a world population that is ageing at a dramatic rate. Important technologi cal developments and neuroscientific discoveries have contributed to a better under standing of stroke recovery. Virtual Reality (VR) arises as a powerful tool because it
allows merging contributions from engineering, human computer interaction, reha bilitation medicine and neuroscience to propose novel and more effective paradigms
for motor rehabilitation. However, despite evidence of the benefits of these novel
training paradigms, most of them still rely on the choice of particular technologi cal solutions tailored to specific subsets of patients. Here we present an integrative
framework that utilizes concepts of human computer confluence to 1) enable VR neu rorehabilitation through interface technologies, making VR rehabilitation paradigms
accessible to wide populations of patients, and 2) create VR training environments
that allow the personalization of training to address the individual needs of stroke
patients. The use of these features is demonstrated in pilot studies using VR training
environments in different configurations: as an online low-cost version, with a myo electric robotic orthosis, and in a neurofeedback paradigm. Finally, we argue about
the need of coupling VR approaches and neurocomputational modelling to further
study stroke and its recovery process, aiding on the design of optimal rehabilitation
programs tailored to the requirements of each user.info:eu-repo/semantics/publishedVersio
The Neurorehabilitation Training Toolkit (NTT): A Novel Worldwide Accessible Motor Training Approach for At-Home Rehabilitation after Stroke
After stroke, enduring rehabilitation is required for maximum recovery, and ideally throughout life to prevent functional deterioration. Hence we developed a new concept for at-home low-cost motor rehabilitation, the NTT, an Internet-based interactive system for upper-limb rehabilitation. In this paper we present the NTT design concepts, its implementation and a proof of concept study with 10 healthy participants. The NTT brings together concepts of optimal learning, engagement, and storytelling to deliver a personalized training to its users. In this study we evaluate the feasibility of NTT as a tool capable of automatically assessing and adapting to its user. This is achieved by means of a psychometric study where we show that the NTT is able to assess movement kinematics—movement smoothness, range of motion, arm displacement and arm coordination—in healthy users. Subsequently, a modeling approach is presented to understand how the measured movement kinematics relate to training parameters, and how these can be modified to adapt the training to meet the needs of patients. Finally, an adaptive algorithm for the personalization of training considering motivational and performance aspects is proposed. In the next phase we will deploy and evaluate the NTT with stroke patients at their homes
FLEB: A fuzzy logic e-book
FLEB is an electronic book which attempts to introduce the basic mathematical foundations and applications of fuzzy logic through a software environment which includes images, hypertext, sensitive elements, animations and interactive demos. It also allows executing Xfuzzy, a development tool which eases the description, verification, and synthesis of fuzzy logic-based systems. FLEB, like a usual book, is structured into chapters with pages through which the reader can navigate comfortably. In addition, the information provided can be accessed in a non sequential way thanks to the hypertext and sensitive elements that interconnect linked pages. This capability of non sequential reading together with the exploitation of multimedia software make FLEB a good tool to pedagogically show and explain the basis of fuzzy logic theory and applications.Peer reviewe
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