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Now showing items 26102-26121 of 42040
Learning finite-state machines: statistical and algorithmic aspects
The present thesis addresses several machine learning problems on generative and predictive models on sequential data. All the models considered have in common that they can be de ned in terms of nite-state machines. On ...
Learning formulaic sequences from captioned videos: the effect of genre, metalinguistic awareness and statistical learning ability
[eng] This doctoral dissertation examines incidental learning of formulaic sequences from exposure to L2 captioned videos of different genres and explores learner-related factors that might affect this process, such as ...
Learning from a robot: creating synthetic psychologically plausible agents
Due to technological advancements, robots will soon become part of our daily lives and interact with us on a frequent basis. Robot acceptance is important, as it delineates whether users will potentially interact with ...
Learning from the input: syntactic, semantic and phonological cues to the noun category in English
Las líneas centrales de la teoría lingüística de los últimos años han descrito la adquisición y el desarrollo de primeras lenguas como un proceso basado en el conocimiento innato de las propiedades gramaticales de la lengua ...
Learning grammatical constructions from audio-visual input
This doctoral dissertation explores the effects of prolonged exposure to audio-visual input on learning a variety of English L2 grammatical constructions. The thesis is organised around three interconnected studies. The ...
Learning how to simulate : Applying machine learning methods to improve molecular dynamics simulations
Caracteritzar la dinàmica de les proteïnes és essencial per tal d'entendre la connexió entre seqüència i funció. La simulació de dinàmiques moleculars és una de les tècniques principals per a estudiar la dinàmica de proteïnes ...
Learning in monetary economics
El tema de la tesis es el estudio de modelos de economía monetaria que departen del supuesto de expectativas racionales y modelan los agentes individuales como econometristas, que forman sus expectativas usando los datos ...
Learning latent variable models : efficient algorithms and applications
Learning latent variable models is a fundamental machine learning problem, and the models belonging to this class - which include topic models, hidden Markov models, mixture models and many others - have a variety of ...
Learning mechanisms of uncertainty and neuromodulation
Learning systems are, by default, adaptive. Experience shapes the parame- ters of artificial systems, as well as it changes the connectivity of biological brains. Nonetheless, our attempts to create artificial learning ...
Learning multilingual and multimodal representations with language-specific encoders and decoders for machine translation
This thesis aims to study different language-specific approaches for Multilingual Machine Translation without parameter sharing and their properties compared to the current state-of-the-art based on parameter-sharing. We ...
Learning of meaningful visual representations for continuous lip-reading
In the last decades, there has been an increased interest in decoding speech exclusively using visual cues, i.e. mimicking the human capability to perform lip-reading, leading to Automatic Lip-Reading (ALR) systems. ...
Learning patterns and social-emotional learning of balkan students in secondary education
En el present estudi, es mesuren components relacionats amb els patrons d’aprenentatge i l’aprenentatge socioemocional en una mostra d’adolescents de la península dels Balcans, una regió postiugoslava que durant dècades ...
Learning relational models with human interaction for planning in robotics
Automated planning has proven to be useful to solve problems where an agent has to maximize a reward function by executing actions. As planners have been improved to salve more expressive and difficult problems, there is ...
Learning representations for medical image diagnosis: impact of curriculum training and architectural design
This thesis investigates two key aspects of learning deep-based image representations for medical diagnosis. The two are confronted with common challenges of medical image databases, namely, the limited number of samples, ...
Learning strategies to increase piglets feed intake after weaning
En el presente trabajo se estudian diferentes estrategias de aprendizaje de la conducta alimentaria en cerdos lactantes y destetados. Los lechones podrían aprender a preferir aromas a través de su madre (Capitulo 1 y 5), ...
Learning Styles and Reading Modes in the Development of Language Learning Autonomy through "Cybertasks"
La tesis doctoral que nos planteamos realizar se enmarca dentro de la investigación que el grupo GIAPEL (Grupo de Investigación y Aplicaciones Pedagógicas en Lenguas) ha venido realizando desde su creación en 1991. El ...
Learning the Consensus of Multiple Correspondences between Data Structures
En aquesta tesi presentem un marc de treball per aprendre el consens donades múltiples correspondències. S'assumeix que les diferents parts involucrades han generat aquestes correspondències per separat, i el nostre sistema ...
Learning the Graph Edit Distance through embedding the graph matching
Els gràfics són estructures de dades abstractes que s’utilitzen per modelar problemes reals amb dues entitats bàsiques: nodes i vores. Cada node o vèrtex representa un punt d'interès rellevant d'un problema i cada vora ...
Learning the impact of data pre-processing in data analysis
There is a clear correlation between data availability and data analytics, and hence with the increase of data availability --- unavoidable according to Moore's law, the need for data analytics increases too. This certainly ...
Learning to be a HERO (HEalthy & Resilient Organization): Linking organizational learning practices to healthy and resilient organizational outcomes
Esta tesis contiene tres estudios empíricos con el propósito de entender cómo el aprendizaje es un componente esencial para el bienestar y la resiliencia en las organizaciones. Basado en el Modelo HERO, este trabajo pret ...
