Results 11 to 20 of about 210,555 (261)
Automatic Evaluation of Neural Network Training Results
Computers, 2023 This article is dedicated to solving the problem of an insufficient degree of automation of artificial neural network training. Despite the availability of a large number of libraries for training neural networks, machine learning engineers often have to
Roman Barinov +3 more
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Workforce Learning Curves for Human-Based Assembly Operations: A State-of-the-Art Review
Applied Sciences, 2022 In this state-of-the-art review, the authors explore the recent advancements in the topics of learning curve models and their estimation methods for manual operations and processes as well as the data collection and monitoring technologies used for ...
Carlos Peña +2 more
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Comparative study of laparoscopic radical gastrectomy and open radical gastrectomy
Journal of Minimal Access Surgery, 2020 Introduction: At present, the main treatment of gastric cancer is surgical resection combined with radiotherapy and chemotherapy, the most important part of which is radical gastrectomy.
Jie Jiao +6 more
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The challenge of studying perovskite solar cells’ stability with machine learning
Frontiers in Energy Research, 2023 Perovskite solar cells are the most dynamic emerging photovoltaic technology and attracts the attention of thousands of researchers worldwide. Recently, many of them are targeting device stability issues–the key challenge for this technology–which has ...
Paolo Graniero +9 more
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ON THE FORM OF LEARNING CURVES [PDF]
Journal of the Experimental Analysis of Behavior, 1962 In a wide variety of learning experiments, cumulated measures of performance turn out to be a power function of practice time or number trials, typically with an exponent between 1 and 2. The effects of various conditions on the course of learning can frequently be described in terms of the two constants of the function.
J C, STEVENS, H B, SAVIN
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BMJ, 2004 Bridgewater and colleagues have studied the surgical results of surgeons in each of their first four years of independent practice and report that there is a learning curve.1 To explain the concept of a learning curve a surgeon writing in the New Yorker magazine chose for his example the insertion of a central venous line into the subclavian vein by ...
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Learning to Rank Learning Curves
CoRR, 2020 Many automated machine learning methods, such as those for hyperparameter and neural architecture optimization, are computationally expensive because they involve training many different model configurations. In this work, we present a new method that saves computational budget by terminating poor configurations early on in the training. In contrast to
Martin Wistuba, Tejaswini Pedapati
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Bending the Learning Curve [PDF]
SSRN Electronic Journal, 2015 This paper aims at improving the application of the learning curve, a popular tool used for forecasting future costs of renewable technologies in integrated assessment models (IAMs). First, we formally discuss under what assumptions the traditional (OLS) estimates of the learning curve can deliver meaningful predictions in IAMs.
Witajewski Baltvilks, Jan +2 more
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Surfing the Modeling of pos Taggers in Low-Resource Scenarios
Mathematics, 2022 The recent trend toward the application of deep structured techniques has revealed the limits of huge models in natural language processing. This has reawakened the interest in traditional machine learning algorithms, which have proved still to be ...
Manuel Vilares Ferro +3 more
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Retiring the Learning Curve [PDF]
Obesity Surgery, 2009 Tom Chalmers was a great American advocate for the power of metaanalyses and the adjudication of doubt through randomized controlled trials. He was famous for his admonition to randomize with the first patient in a trial and for his abhorrence of the learning curve in clinical therapeutics. A scientific icon, Dr.
Buchwald H, SCOPINARO, NICOLA
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