Goal-Driven Learning
نویسندگان
چکیده
منابع مشابه
Enhancing Learning from Imbalanced Classes via Data Preprocessing: A Data-Driven Application in Metabolomics Data Mining
This paper presents a data mining application in metabolomics. It aims at building an enhanced machine learning classifier that can be used for diagnosing cachexia syndrome and identifying its involved biomarkers. To achieve this goal, a data-driven analysis is carried out using a public dataset consisting of 1H-NMR metabolite profile. This dataset suffers from the problem of imbalanced classes...
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In spite of the highly beneficial applications of corpus linguistics in language pedagogy, it has not found its way into mainstream EFL. The major reasons seem to be the teachers’ lack of training and the unavailability of resources, especially computers in language classes. Phrasal verbs have been shown to be a problematic area of learning English as a foreign language due to their semantic op...
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Except for various ad hoc (and sometimes quite successful) systems, this de facto manifesto calling for the study of introspective systems did not give rise to what may be called "a general architecture for declarative and/or reflective machine learning". Some recent research taking place under the label of "goal-driven learning" signals however a renewed interest in these very basic issues: " ...
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In self-paced learning, when the regulation of effort is goal driven (e.g., allocated to different items according to their relative importance), judgments of learning (JOLs) increase with study time. When it is data driven (i.e., determined by the ease of committing the item to memory), JOLs decrease with study time (Koriat, Ma'ayan, & Nussinson, 2006). Because the amount of effort invested in...
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This chapter presents a computational model of introspective multistrategy learning, which is a deliberative or strategic learning process in which a reasoner introspects about its own performance to decide what to learn and how to learn it. The reasoner introspects about its own performance on a reasoning task, assigns credit or blame for its performance, identifies what it needs to learn to i...
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The present study was conducted to evaluate data driven learning (DDL) combined with Computer Assisted Language Learning (CALL) as an approach to improving vocabulary knowledge of Iranian postgraduates majoring in teaching English, English literature and translation. The purpose was to help language learners get familiar with DDL as a student-centered method taking advantage of a computer progr...
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