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Probabilistic Classifications with TBL

2007
The classifiers produced by the Transformation Based error-driven Learning (TBL) algorithm do not produce uncertainty measures by default. Nevertheless, there are situations like active and semi-supervised learning where the application requires both the sample's classification and the classification confidence. In this paper, we present a novel method
Cícero Nogueira dos Santos   +1 more
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How to Design and Implement TBL

2021
Designing a TBL activity is best accomplished using the principles of backward design. Instructors should first consider situational factors, then design appropriate learning objectives. TBL objectives should be higher order focusing on knowledge application; describing what the learner should be able to do after participating in the TBL exercise ...
Ruth Levine, Patricia Hudes
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TBL

Alloy Digest, 2018
Abstract TBL is a wear-resistant special structural steel with boron as heavy plate that is normalized with thicknesses up to 100 mm (3.9 in.) made of fine-grained structural steel TBL. This datasheet provides information on composition and tensile properties. It also includes information on forming and heat treating. Filing Code: SA-808.
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TBL PLUS

Alloy Digest, 2018
Abstract TBL Plus is a wear-resistant special structural steel with boron as heavy plate that is normalized with thicknesses up to 12 mm (in.) made of fine-grained structural steel. This datasheet provides information on composition and tensile properties.
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Chapter 11. The TBL framework

2009
This chapter covers the second phase in the task-based learning framework – the task cycle. It describes in detail the three components of the task cycle, task, planning and report, and examines the role of the teacher in each. It emphasises the importance of writing in the learning process and shows how the stages of the task cycle can be adapted to ...
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Chase Versus Corcos TBL Loading

2021
The Corcos and Chase models for the wavenumber-frequency spectrum of fluctuating pressures in a turbulent boundary layer (TBL) fluid flow are compared. Some of the recent improvements to these basic models (in order to agree better with the measured data) are reviewed.
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