Search results for "active learning"
showing 10 items of 184 documents
Langage et Apprentissage en Interaction pour des Assistants Numériques Autonomes - Une Approche Développementale
2021
The rapid development of digital assistants (DA) opens the way to new modes of interaction. Some DA allows users to personalise the way they respond to queries, in particular by teaching them new procedures. This work proposes to use machine learning methods to enrich the linguistic and procedural generalisation capabilities of these systems. The challenge is to reconcile rapid learning skills, necessary for a smooth user experience, with a sufficiently large generalisation capacity. Though this is a natural human ability, it remains out-of-reach for artificial systems and this leads us to approach these issues from the perspective of developmental Artificial Intelligence. This work is thus…
Incorporando dispositivos de radio definida por software en la materia de Comunicaciones Digitales: del grupo piloto a la gran clase
2020
La innovación educativa es un proceso que se extiende más allá de un curso académico. En su desarrollo se distinguen las etapas de planificación, implementación, evaluación y realimentación, para identificar aspectos susceptibles de mejora. En esta contribución presentamos el trabajo desarrollado en los dos últimos cursos en la asignatura Teoría de la Comunicación (materia de Comunicaciones Digitales), Grado en Ingeniería Telemática, de la Universitat de València. Concretamente, se incorporan dispositivos de radio definida por software en los laboratorios como herramienta para conseguir unas prácticas más realistas. El artículo describe el proceso de adaptación de una sesión de laboratorio, qu…
Cluster-based active learning for compact image classification
2010
In this paper, we consider active sampling to label pixels grouped with hierarchical clustering. The objective of the method is to match the data relationships discovered by the clustering algorithm with the user's desired class semantics. The first is represented as a complete tree to be pruned and the second is iteratively provided by the user. The active learning algorithm proposed searches the pruning of the tree that best matches the labels of the sampled points. By choosing the part of the tree to sample from according to current pruning's uncertainty, sampling is focused on most uncertain clusters. This way, large clusters for which the class membership is already fixed are no longer…
Teachers' instructional scaffolding in an innovative information and communication technology-based history learning environment
2002
Abstract The nature of the role assumed by the teacher is crucial in the promotion of successful learning and collaboration in Information and Communication Technologybased (ICT-based) environments. The aim of this study was to examine how teachers with different conceptions of their teacher roles use different types of instructional scaffolding while working in an innovative learning environment. Our further aim was finding out how instructional scaffolding is related to learning activities of different kinds. The study was carried out at two secondary schools with a shared network-based learning environment. The results showed that teachers with different conceptions of the teacher's role…
Teaching and learning in consumer behavior: a class activity supporting real decision-making in cultural management
2010
Abstract Problem-based learning has been suggested as a useful tool to foster student-centered learning and increase student motivation. Students of Business Administration are not familiar with Research on Consumer Behavior, its contents and techniques, since this subject is traditionally linked to Psychology. In order to facilitate the teaching-learning process in this subject, this paper presents an application of problem-based learning in the context of Consumer Behavior. Results of this pilot experience are assessed under a qualitative and a quantitative basis. The evidence obtained allow us to conclude that this collaboration project enable students to obtain and to process informatio…
Investigación en el aula: evaluación de la metodología de aprendizaje basado en problemas en la asignatura de Corrosión
2020
[ES] La metodología de Aprendizaje Basado en Problemas (ABP) se introdujo por primera vez en un curso de Corrosión del Master de Ingeniería Química de la Universitat Politècnica de València, durante el curso 2018-2019. Se diseñaron y presentaron diferentes problemas relacionados con todos estos conceptos como metodología de aprendizaje basado en problemas. Para evaluar el empleo de este tipo de metodología activa se plantea la elaboración de una encuesta a los estudiantes de manera anónima e individual y la realización de una matriz de escenarios presentes y futuros para la asignatura de forma grupal. Es importante señalar que a pesar de que para muchos de los estudiantes (67%) esta era la …
Organized Learning Models (Pursuer Control Optimisation)
1982
Abstract The concept of Organized Learning is defined, and some random models are presented. For Not Transferable Learning, it is necessary to start from an instantaneous learning; by a discrete way, we must form a stochastic model considering the probability of each path; with a continue aproximation, we can study the evolution of the internal state through to consider the relative and absolute probabilities, by means of differential equations systems. For Transferable Learning, the instantaneous learning give us directly the System evolution. So, the Algoritmes for the different models are compared.
Support Vector Machine and Kernel Classification Algorithms
2018
This chapter introduces the basics of support vector machine (SVM) and other kernel classifiers for pattern recognition and detection. It also introduces the main elements and concept underlying the successful binary SVM. The chapter starts by introducing the main elements and concept underlying the successful binary SVM. Next, it introduces more advanced topics in SVM for classification, including large margin filtering (LMF), SSL, active learning, and large‐scale classification using SVMs. The LMF method performs both signal filtering and classification simultaneously by learning the most appropriate filters. SSL with SVMs exploits the information contained in both labeled and unlabeled e…
ORGANIZED LEARNING MODELS (PURSUER CONTROL OPTIMISATION)
1983
Abstract The concept of Organized Learning is defined, and some random models are presented. For Not Transferable Learning, it is necessary to start from an instantaneous learning; by a discrete way, we must form a stochastic model considering the probability of each path; with a continue aproximation, we can study the evolution of the internal state through to consider the relative and absolute probabilities, by means of differential equations systems. For Transferable Learning, the instantaneous learning give us directly the System evolution. So, the Algoritmes for the different models are compared.
Learning Improved Feature Rankings through Decremental Input Pruning for Support Vector Based Drug Activity Prediction
2010
The use of certain machine learning and pattern recognition tools for automated pharmacological drug design has been recently introduced. Different families of learning algorithms and Support Vector Machines in particular have been applied to the task of associating observed chemical properties and pharmacological activities to certain kinds of representations of the candidate compounds. The purpose of this work, is to select an appropriate feature ordering from a large set of molecular descriptors usually used in the domain of Drug Activity Characterization. To this end, a new input pruning method is introduced and assessed with respect to commonly used feature ranking algorithms.