Results 21 to 30 of about 6,795,342 (412)
Bag of Tricks for Efficient Text Classification [PDF]
Conference of the European Chapter of the Association for Computational Linguistics, 2016 This paper explores a simple and efficient baseline for text classification. Our experiments show that our fast text classifier fastText is often on par with deep learning classifiers in terms of accuracy, and many orders of magnitude faster for training
Armand Joulin +3 more
semanticscholar +1 more source
Defining Training and Performance Caliber: A Participant Classification Framework.
International Journal of Sports Physiology and Performance, 2022 Throughout the sport-science and sports-medicine literature, the term "elite" subjects might be one of the most overused and ill-defined terms. Currently, there is no common perspective or terminology to characterize the caliber and training status of an
Alannah K. A. McKay +7 more
semanticscholar +1 more source
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification [PDF]
IEEE International Conference on Computer Vision, 2015 Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier neural networks for image classification from two aspects.
Kaiming He +3 more
semanticscholar +1 more source
Leukemia, 2022 We herein present an overview of the upcoming 5th edition of the World Health Organization Classification of Haematolymphoid Tumours focussing on lymphoid neoplasms.
R. Alaggio +82 more
semanticscholar +1 more source
Convolutional Neural Networks for Sentence Classification [PDF]
Conference on Empirical Methods in Natural Language Processing, 2014 We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks.
Yoon Kim
semanticscholar +1 more source
Microbiome, 2018 Taxonomic classification of marker-gene sequences is an important step in microbiome analysis. We present q2-feature-classifier (https://github.com/qiime2/q2-feature-classifier), a QIIME 2 plugin containing several novel machine-learning and alignment ...
N. Bokulich +7 more
semanticscholar +1 more source
Blood, 2022 The classification of myeloid neoplasms and acute leukemias was last updated in 2016 within a collaboration between the World Health Organization (WHO), the Society for Hematopathology, and the European Association for Haematopathology.
D. Arber +67 more
semanticscholar +1 more source
Universal Language Model Fine-tuning for Text Classification
Annual Meeting of the Association for Computational Linguistics, 2018 Inductive transfer learning has greatly impacted computer vision, but existing approaches in NLP still require task-specific modifications and training from scratch. We propose Universal Language Model Fine-tuning (ULMFiT), an effective transfer learning
Jeremy Howard, Sebastian Ruder
semanticscholar +1 more source
Theory, Culture & Society, 2006 First thoughts about classification inevitably turn to the simultaneously mundane and extraordinary ambition to capture the universe of all that there is and has been. This dream of the universal has two basic modes (and so the process begins!). First, I will follow the spirit of theos and logos as represented by the Platonic embrace of totality ...
openaire +2 more sources
Safe Design of a Hydrogen-Powered Ship: CFD Simulation on Hydrogen Leakage in the Fuel Cell Room
Journal of Marine Science and Engineering, 2023 Adopting proton exchange membrane fuel cells fuelled by hydrogen presents a promising solution for the shipping industry’s deep decarbonisation. However, the potential safety risks associated with hydrogen leakage pose a significant challenge to the ...
Wenfeng Guan +4 more
doaj +1 more source