نتایج جستجو برای: active learning

تعداد نتایج: 1018801  

2010
Manabu Sassano Sadao Kurohashi

We investigate active learning methods for Japanese dependency parsing. We propose active learning methods of using partial dependency relations in a given sentence for parsing and evaluate their effectiveness empirically. Furthermore, we utilize syntactic constraints of Japanese to obtain more labeled examples from precious labeled ones that annotators give. Experimental results show that our ...

2017
Daniel Kottke Adrian Calma Denis Huseljic Georg Krempl Bernhard Sick

Active learning has the potential to save costs by intelligent use of resources in form of some expert’s knowledge. Nevertheless, these methods are still not established in real-world applications as they can not be evaluated properly in the specific scenario because evaluation data is missing. In this article, we provide a summary of different evaluation methodologies by discussing them in ter...

F Motamedi FG Davoodi M Ghasemi N Naghdi

There are several conflicting evidences showing the effect of morphine on learning and memory processes. In the present study the effect of chronic morphine administration on passive avoidance, active avoidance and spatial learning and memory of morphine dependent male rats using Passive Avoidance shuttle box and Morris Water Maze tasks were investigated, respectively. Male rats received morphi...

2005
P. J. Goodhew T. J. Bullough

Active learning is not only a key element of CDIO syllabi, but is expected to increase student motivation, commitment and retention. The incorporation of active learning elements into a materials engineering programme is considered by means of three example modules. The implications of introducing these modules into a materials programme is discussed in terms of five Ts – their titles, testing,...

2007
Andrew Litchfield Laurel Evelyn Dyson Elaine Lawrence Agnieszka Zmijewska

This paper aims to inform readers of suggested directions for researching how mobile technology can enhance active student learning. These directions are informed by an online survey of our students in early 2007 and a contemporary literature search. We present the findings of our search of global best-practice in m-learning, gaps in the current literature are identified and five directions are...

2006
Francesc Miralles

Most European Schools are involved in designing learning–oriented curriculums in the process of adapting to the EHEA framework. The ESUP of the University Pompeu Fabra has launched adaptation projects with varying degrees of change in the teaching methodology. In this work two experiences are compared. On the one hand, courses in the engineering management area were fully adapted to an active l...

Journal: :iJEP 2015
Andy M. Connor Sangeeta Karmokar Chris Whittington

This paper sets out to challenge the common pedagogies found in STEM (Science, Technology, Engineering and Mathematics) education with a particular focus on engineering. The dominant engineering pedagogy remains “chalk and talk”; despite research evidence that demonstrates its ineffectiveness. Such pedagogical approaches do not embrace the possibilities provided by more studentcentric approache...

2013
Andrés Alberto Ponce

Student training duties, involve learning concepts and relevant skills. It should also foster the development of critical thinking and active learning leading to the acquisition, analysis and implementation of knowledge transfer in research and encourage a positive attitude forwards both, self-learning and lifelong learning. The proposed methodology presented in this article focuses on the stra...

2012
Shefali Sharma Leslie Lange José Luis Ambite Yigal Arens Chun-Nan Hsu

Many genetic epidemiological studies of human diseases have multiple variables related to any given phenotype, resulting from different definitions and multiple measurements or subsets of data. Manually mapping and harmonizing these phenotypes is a timeconsuming process that may still miss the most appropriate variables. Previously, a supervised learning algorithm was proposed for this problem....

Journal: :CoRR 2014
Julian Togelius Noor Shaker Georgios N. Yannakakis

We argue for the use of active learning methods for player modelling. In active learning, the learning algorithm chooses where to sample the search space so as to optimise learning progress. We hypothesise that player modelling based on active learning could result in vastly more efficient learning, but will require big changes in how data is collected. Some hypothetical active player modelling...

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