Search results for "learning."
showing 10 items of 6527 documents
Worker safety in agriculture 4.0: A new approach for mapping operator's vibration risk through Machine Learning activity recognition
2022
While being a fundamental driver of competitiveness in agroindustry, technological innovation has also introduced new critical elements related, for example, to the sustainability of the production processes as well as to the safety of workers. In such regard, the advent of the 4th industrial revolution (Agriculture 4.0) based on digitalization, is an unprecedented opportunity of rethinking the role of innovation in a new human-centric perspective. In particular, the establishment of an interconnected work environment and the augmentation of the operator’s physical, sensorial, and cognitive capabilities, are two technologies which can be effectively employed for substantially improving the …
Closedness properties in team learning of recursive functions
1997
This paper investigates closedness properties in relation with team learning of total recursive functions. One of the first problems solved for any new identification types is the following: “Does the identifiability of classes U1 and U2 imply the identifiability of U1∪U2?” In this paper we are interested in a more general question: “Does the identifiability of every union of n−1 classes out of U1,...,Un imply the identifiability of U1∪...∪Un?” If the answer is positive, we call such identification type n-closed. We show that n-closedness can be equivalently formulated in terms of team learning. After that we find for which n team identification in the limit and team finite identification t…
Developing Algebraic Thinking in a Community of Inquiry : Collaboration between Three Teachers and a Didactician
2009
In this thesis I report from a study of the development of algebraic thinking of three teachers, from lower secondary school, and a didactician from a university in Norway (myself). The thesis offers an account of the relationship between the participants’ development of algebraic thinking and the processes related to the creation and development of a community of inquiry. In addition, the thesis presents elements of the relationship between the teachers’ development of algebraic thinking and their thinking in relation to their teaching practice. My theoretical framework was elaborated according to the criteria of relevance and coherence. In order to conceptualise the participants’ developm…
Learning from good examples
1995
The usual information in inductive inference for the purposes of learning an unknown recursive function f is the set of all input /output examples (n,f(n)), n ∈ ℕ. In contrast to this approach we show that it is considerably more powerful to work with finite sets of “good” examples even when these good examples are required to be effectively computable. The influence of the underlying numberings, with respect to which the learning problem has to be solved, to the capabilities of inference from good examples is also investigated. It turns out that nonstandard numberings can be much more powerful than Godel numberings.
Surviving learning races: An analysis of strategic alliance evolution capabilities
2014
This paper is aimed to identify and understand the main dimensions and processes that underlie the capacity of weaker firms in an initially unbalanced strategic alliance to purposefully channel the fruitful evolution of the alliance by creating, extending or modifying its scope in order to perceive and grasp new value creating opportunities which they would not be able to seize on their own. We call this capacity an alliance evolution capability and intend it as a particular type of dynamic capability of the firm (Teece, Pisano & Schuen, 1997; Helfat et al., 2007). The motivation for this paper is threefold: (1) to understand how weaker firms may survive learning race alliances (Hamel, 1991…
An Alternative Paradigm to Evaluate the Acquisition of the van Hiele Levels
1991
This article presents an alternative way of analyzing the van Hiele level of students’ geometrical reasoning. We evaluate the students’ answers, taking into account the van Hiele level they reflect and their mathematical accuracy. This gives us a description of how accomplished the students are in applying the procedures associated with each of the van Hiele levels and allows us to determine the students’ degree of acquisition of the van Hiele levels. In this way we obtain a clearer picture of the students’ geometrical reasoning than with the traditional assignment of one van Hiele level to the learners. An example of the application of this method is provided: We describe a test that evalu…
Multi-sensor Fusion through Adaptive Bayesian Networks
2011
Common sensory devices for measuring environmental data are typically heterogeneous, and present strict energy constraints; moreover, they are likely affected by noise, and their behavior may vary across time. Bayesian Networks constitute a suitable tool for pre-processing such data before performing more refined artificial reasoning; the approach proposed here aims at obtaining the best trade-off between performance and cost, by adapting the operating mode of the underlying sensory devices. Moreover, self-configuration of the nodes providing the evidence to the Bayesian network is carried out by means of an on-line multi-objective optimization.
El móvil en las universidades como instrumento de respuesta de audiencias
2019
Internet y la introducción de la multimedia en el aula permiten al alumnado experimentar situaciones que complementan su formación. En los últimos años, el término aprendizaje móvil (m-Learning) ha llegado a popularizarse en los contextos educativos. Una de sus aplicaciones es el uso conjunto de la ludificación y las TIC en la enseñanza universitaria mediante los Instrumentos de Respuesta de Audiencias relacionados con la utilización de dispositivos móviles en el aula. Este estudio examina el efecto de utilizar dos plataformas online (Kahoot! y Socrative) en cuatro asignaturas impartidas en una universidad pública española durante el curso 2016-2017. Los objetivos de esta investigación son …
Sign Languages Recognition Based on Neural Network Architecture
2017
In the last years, many steps forward have been made in speech and natural languages recognition and were developed many virtual assistants such as Apple’s Siri, Google Now and Microsoft Cortana. Unfortunately, not everyone can use voice to communicate to other people and digital devices. Our system is a first step for extending the possibility of using virtual assistants to speech impaired people by providing an artificial sign languages recognition based on neural network architecture.
Dissociation between priming and recognition in the expression of sequential knowledge
2002
Exposure to a repeating sequence of target stimuli in a speeded localization task can support both priming of sequence-consistent responses and recognition of sequence components. Here, a task is introduced in which measures of priming and recognition are obtained concurrently, and it is demonstrated that priming of sequence-consistent responses occurs even when test stimuli are not recognized. The results show that sequence knowledge can be expressed in the absence of conscious recognition. However, we also show that this result is consistent with a simple model in which priming and recognition depend on exactly the same underlying memory strength variable.