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Learning Curves

Learning Curves of Harvester Operators

Learning Curves of Harvester Operators

... the learning curves of harvester operators and the influence of human factors described in a qualitative and quantitative ...their learning curve was ana- lysed and drawn as a sigmoid ...the ...

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Individual Learning Curves in Manual Control of Six Degrees of Freedom

Individual Learning Curves in Manual Control of Six Degrees of Freedom

... differing learning curves are presented in figure 1, with each symbol representing a single participant’s level progress over the course of training ...

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Learning curves of theta/beta neurofeedback in children with ADHD

Learning curves of theta/beta neurofeedback in children with ADHD

... demonstrate learning effects at the group level; however, more detailed analysis of individual learning curves showed considerable hetero- geneity in training ...

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Teaching Learning Curves In An Undergraduate Economics Or Operations Management Course

Teaching Learning Curves In An Undergraduate Economics Or Operations Management Course

... of Learning Curves is discussed in most Operations Management ...the learning effect in machine scheduling ...The learning effect can be represented by a line called a learning curve, ...

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Measuring Learning Curves for Chainsaw Tree Cutting in Tanzania

Measuring Learning Curves for Chainsaw Tree Cutting in Tanzania

... using learning curves. Thus the curves are a useful tool that can be used in planning of future forest ...operations. Learning curve theory and models can be useful for estimating the long-run ...

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Individual learning curves in bronchoscopy : exploring skill acquisition with a low fidelity prototype

Individual learning curves in bronchoscopy : exploring skill acquisition with a low fidelity prototype

... no learning curves could be estimated, but this does not necessarily mean that no learning took place at ...missing learning effects with the EndoProto, a deeper investigation of basic scope ...

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Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs

Random Walk Kernels and Learning Curves for Gaussian Process Regression on Random Graphs

... consider learning on graphs, guided by kernels that encode similarity between ...studying learning curves for Gaussian process ...the learning curves using belief propagation show that ...

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Learning curves and long-term outcome of simulation-based thoracentesis training for medical students

Learning curves and long-term outcome of simulation-based thoracentesis training for medical students

... Each participant’s performance of thoracentesis on the simulator was assessed by one of the ten evaluators using the measurements of PS, PT and PC. Learning curves for each variable were generated. ...

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Most of the Time, It Works Every Time: Limitations in Refining Domain Models with Learning Curves

Most of the Time, It Works Every Time: Limitations in Refining Domain Models with Learning Curves

... student learning provide learning curves that, ideally, demonstrate improvement in student performance over ...a learning environment, and these methods have been validated both with ...

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Learning curves, taking instructions, and patient safety: using a theoretical domains framework in an interview study to investigate prescribing errors among trainee doctors

Learning curves, taking instructions, and patient safety: using a theoretical domains framework in an interview study to investigate prescribing errors among trainee doctors

... areas: learning curves associated with com- mencing the first years of postgraduate training; taking instructions and other influences of colleagues on their prescribing; and issues around patient safety, ...

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Approximating Learning Curves for Active-Learning-Driven Annotation

Approximating Learning Curves for Active-Learning-Driven Annotation

... Active learning (AL) is getting more and more popular as a methodology to considerably reduce the annotation effort when building training material for statistical learning methods for various NLP ...While ...

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Prediction of Learning Curves in Machine Translation

Prediction of Learning Curves in Machine Translation

... Parallel data in the domain of interest is the key resource when training a statistical ma- chine translation (SMT) system for a specific purpose. Since ad-hoc manual translation can represent a significant investment in ...

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Assessment of learning curves in complex surgical interventions: a consecutive case series study

Assessment of learning curves in complex surgical interventions: a consecutive case series study

... the learning period duration is frequently hindered by short surgical case series, which do not allow robust fitting of the two-phase ...of learning over time and as much data as possible should be col- ...

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Trainee colonoscopists fulfil quality standards for the detection of adenomatous polyps

Trainee colonoscopists fulfil quality standards for the detection of adenomatous polyps

... Some studies have investigated detection rates of ap- prentices before. Comparing initial and final ADR values of trainees, no significant differences could be verified [20-22]. In one recent prospective study Gromski ...

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Active learning for ontological event extraction incorporating named entity recognition and unknown word handling

Active learning for ontological event extraction incorporating named entity recognition and unknown word handling

... the learning curves in ...active learning method using unigram generally shows obvious improvement over the baseline of ran- dom selection method, yet the active learning method using PAS show ...

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Influence of preprocessing on dependency syntax annotation: speed and agreement

Influence of preprocessing on dependency syntax annotation: speed and agreement

... the learning curves pre- sented in Skjærholt and Øvrelid (2012), it seems that parser adaptation with a view to preprocess- ing for annotation is primarily useful in the ear- liest stages of an annotation ...

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Active Learning via Membership Query Synthesis for Semi Supervised Sentence Classification

Active Learning via Membership Query Synthesis for Semi Supervised Sentence Classification

... F-scores as a function of annotation time AL simulations have often been criticized for report- ing unrealistic results, based merely on the number of annotated instances (see, e.g., Settles (2009), pp. 37 ff.). It is ...

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Few Shot and Zero Shot Learning for Historical Text Normalization

Few Shot and Zero Shot Learning for Historical Text Normalization

... shows learning curves for all of our historical ...task learning—at least with the auxiliary tasks we have chosen here—is mostly useful when the training data for the main task is ...

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Active Learning with Rationales for Text Classification

Active Learning with Rationales for Text Classification

... the learning curves for random sampling on four text classification datasets with binary and tf-idf representations and using multinomial na¨ıve Bayes, logistic regression, and support vector ma- ...the ...

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