Active Learning with Statistical Models

For many types of learners one can compute the statistically 'optimal' way to select data. We review how these techniques have been used with feedforward neural networks. We then show how the same principles may be used to select data for two alternative, statistically-based learning architectures: mixtures of Gaussians and locally weighted regression. While the techniques for neural networks are expensive and approximate, the techniques for mixtures of Gaussians and locally weighted regression are both efficient and accurate.

Sequential Optimal Recovery: A Paradigm for Active Learning

In most classical frameworks for learning from examples, it is assumed that examples are randomly drawn and presented to the learner. In this paper, we consider the possibility of a more active learner who is allowed to choose his/her own examples. Our investigations are carried out in a function approximation setting. In particular, using arguments from optimal recovery (Micchelli and Rivlin, 1976), we develop an adaptive sampling strategy (equivalent to adaptive approximation) for arbitrary approximation schemes. We provide a general formulation of the problem and show how it can be regarded as sequential optimal recovery. We demonstrate the application of this general formulation to two special cases of functions on the real line 1) monotonically increasing functions and 2) functions with bounded derivative. An extensive investigation of the sample complexity of approximating these functions is conducted yielding both theoretical and empirical results on test functions. Our theoretical results (stated insPAC-style), along with the simulations demonstrate the superiority of our active scheme over both passive learning as well as classical optimal recovery. The analysis of active function approximation is conducted in a worst-case setting, in contrast with other Bayesian paradigms obtained from optimal design (Mackay, 1992).

A Formulation for Active Learning with Applications to Object Detection

We discuss a formulation for active example selection for function learning problems. This formulation is obtained by adapting Fedorov's optimal experiment design to the learning problem. We specifically show how to analytically derive example selection algorithms for certain well defined function classes. We then explore the behavior and sample complexity of such active learning algorithms. Finally, we view object detection as a special case of function learning and show how our formulation reduces to a useful heuristic to choose examples to reduce the generalization error.

Active regions for colour texture segmentation integrating region and boundary information

In this paper a colour texture segmentation method, which unifies region and boundary information, is proposed. The algorithm uses a coarse detection of the perceptual (colour and texture) edges of the image to adequately place and initialise a set of active regions. Colour texture of regions is modelled by the conjunction of non-parametric techniques of kernel density estimation (which allow to estimate the colour behaviour) and classical co-occurrence matrix based texture features. Therefore, region information is defined and accurate boundary information can be extracted to guide the segmentation process. Regions concurrently compete for the image pixels in order to segment the whole image taking both information sources into account. Furthermore, experimental results are shown which prove the performance of the proposed method

Unsupervised active regions for multiresolution image segmentation

An unsupervised approach to image segmentation which fuses region and boundary information is presented. The proposed approach takes advantage of the combined use of 3 different strategies: the guidance of seed placement, the control of decision criterion, and the boundary refinement. The new algorithm uses the boundary information to initialize a set of active regions which compete for the pixels in order to segment the whole image. The method is implemented on a multiresolution representation which ensures noise robustness as well as computation efficiency. The accuracy of the segmentation results has been proven through an objective comparative evaluation of the method

Active control of structures with uncertain coupled subsystems and actuator dynamics

This paper deals with the problem of stabilizing a class of structures subject to an uncertain excitation due to the temporary coupling of the main system with another uncertain dynamical subsystem. A Lyapunov function based control scheme is proposed to attenuate the structural vibration. In the control design, the actuator dynamics is taken into account. The control scheme is implemented by using only feedback information of the main system. The effectiveness of the control scheme is shown for a bridge platform with crossing vehicle

Active citizenship

The aim of this activity is to allow students to explore the nature of political action, which can be thought of as a form of active as opposed to passive citizenship. By learning about and reflecting upon past instances of political action, or activism, students will be able to start thinking about what is likely to make a campaign successful. It is intended that these reflections can then be applied to their own actions as active citizens. It is hoped that the historical case studies combined with the information provided on different campaigning tools and methods will help to make students feel empowered and inspired to take action. In setting students the task of planning an action, it is expected that time management and organizational skills will be improved. It is believed that by putting themselves in the shoes of activists and going through the process of planning an action, they will have an engaged learning experience. The reflective element of the activity encourages students to form and defend opinions on the relative strengths and weaknesses of different campaigning methods, and on the acceptable limits to political action. This learning activity has been designed presuming no prior knowledge of activism or its methods, and has been successfully used with first year undergraduate students from a variety of disciplines. However, the activity provides a basis for more in-depth study of several issues, or alternatively study into further examples of campaign organizations. There are 3 different learning activities presented on this web site. For a dynamic and well-illustrated introduction to contemporary activism, see Jordan, T. (2002) Activism!: Direct Action, Hacktivism and the Future of Society, London: Reaktion Books Ltd. This material is also available via JORUM.

Propiedades psicométricas de la versión al español del cuestionario “Barriers to Being Active Quiz”, entre estudiantes universitarios de Colombia

Objetivo: El cuestionario Barriers to Being Active Quiz (BBAQ), indaga las barreras para ser físicamente activo. El cuestionario fue traducido al español por el mismo equipo que desarrolló la versión inglésa original, pero carece de estudios de validez en la versión española. El objetivo de esta investigación fue evaluar las propiedades psicométricas del BBAQ (en la versión completa de 21 ítems), centrándose en la fiabilidad y validez. Material y métodos: Un total de 2.634 (1.462 mujeres y 1.172 varones; 18-30 años de edad) estudiantes universitarios completaron el cuestionario BBAQ-21. El alfa de Crombach se estimó como indicador de consistencia interna. El coeficiente de correlación intra-clase (CCI) y el grado de acuerdo se calcularon para evaluar la estabilidad temporal con un periodo de 7 días entre ambas administraciones como estimadores de la reproducibilidad. Se aplicó un análisis factorial exploratorio (AFE) y confirmatorio (AFC) para analizar la validez del BBAQ-21 ítems. Resultados: El BBAQ-21 mostró valores de un alfa de Cronbach entre 0,812 y 0,844 y un CCI entre el 0,46 y 0,87. El porcentaje de acuerdo por todos los conceptos individuales varió de 45 a 80%. El AFE determinó cuatro factores que explicaron el 52,90% de la varianza y el AFC mostró moderadas cargas factoriales. Conclusiones: Los resultados obtenidos en este cuestionario avalan la utilización de este instrumento con este tipo de muestra, desde el punto de vista de la fiabilidad y validez. El BBAQ-21 está disponible para evaluar las barreras para la actividad física en América Latina.

De l'école à la vie active. 'De la escuela a la vida activa'.

Proyecto educativo indicado para el nivel educativo de Secundaria. El cuaderno propone conocer los vínculos entre la escuela y el mundo del trabajo para así facilitar la inserción laboral de los alumnos que acaban los estudios. Para ello se estructura en cinco fichas, que proponen a partir de unos objetivos, unas actividades. Las fichas están orientadas a desarrollar la autoestima y la confianza en el alumnado. Este proyecto pone al alcance de los estudiantes unas herramientas básicas para enfrontarse al mundo laboral y les da la oportunidad de ponerlas en práctica, aunque sólo sea de manera fictícia.

Literature in the foreign language syllabus : engaging the student through active learning. 'El rol de la literatura en la enseñanza de la lengua extranjera : la implicación del estudiante en el aula a través del aprendizaje activo'.

Resumen en español. Resumen tomado de la publicación

Innovation pedagogy : learning through active multidisciplinary methods. 'Pedagogía de la Innovación : aprendiendo con métodos activos multidisciplinares'.

Monográfico con el título: 'Buenas prácticas docentes en la enseñanza universitaria'. Resumen basado en el de la publicación

Active citizenship in the classroom : mission impossible?

Resumen basado en el de la publicaci??n

A new efficient approach to the direct restricted active space self-consistent field method

An implicitly parallel method for integral-block driven restricted active space self-consistent field (RASSCF) algorithms is presented. The approach is based on a model space representation of the RAS active orbitals with an efficient expansion of the model subspaces. The applicability of the method is demonstrated with a RASSCF investigation of the first two excited states of indole

Automatic generation of active coordinates for quantum dynamics calculations: application to the dynamics of benzene photochemistry

A new practical method to generate a subspace of active coordinates for quantum dynamics calculations is presented. These reduced coordinates are obtained as the normal modes of an analytical quadratic representation of the energy difference between excited and ground states within the complete active space self-consistent field method. At the Franck-Condon point, the largest negative eigenvalues of this Hessian correspond to the photoactive modes: those that reduce the energy difference and lead to the conical intersection; eigenvalues close to 0 correspond to bath modes, while modes with large positive eigenvalues are photoinactive vibrations, which increase the energy difference. The efficacy of quantum dynamics run in the subspace of the photoactive modes is illustrated with the photochemistry of benzene, where theoretical simulations are designed to assist optimal control experiments

Multidisciplinary analysis of clinical cases: a transition towards active learning in dental education

In the past 2009/10 academic year, we took steps towards introduction of active methodologies, from a multidisciplinar approach, into a conventional lecture-based Dental Education program. We consolidated these practices in the current 2010/11 year, already within a new Bologna-adapted scheme. Transition involved (i) critical assessment of the limitations of traditional teaching (ii) identification of specific learning topics allowing for integration of contents, (iii) implementation of student-centred learning activities in old curricular plans (iv) assessment of students' satisfaction and perceived learning outcomes, (v) implementation of these changes in new Bologna-adapted curricula