Results 21 to 30 of about 10,520,123 (362)
Cruise ship evacuation simulation based on fine-grid model and validation by experimental datasets
Zhongguo Jianchuan Yanjiu, 2023 ObjectivesEvacuation analysis is essential for the design and safety assessment of cruise ships. In this study, a fine-grid-based evacuation model is developed to accurately simulate personnel behaviors and evacuation rules during the cruise ship ...
Lei ZHUANG +3 more
doaj +1 more source
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
Leukemia, 2022 The upcoming 5th edition of the World Health Organization (WHO) Classification of Haematolymphoid Tumours is part of an effort to hierarchically catalogue human cancers arising in various organ systems within a single relational database.
J. Khoury +61 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
Plasmid, 2023 Plasmids are universally present in bacteria and play key roles in the dissemination of genes such as antibiotic resistance determinants. Major concepts in Plasmid Biology derive from the efforts to classify plasmids. Here, we review the main plasmid classification systems, starting by phenotype-based methods, such as fertility inhibition and ...
Garcillán Barcia, María del Pilar +2 more
openaire +4 more sources
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
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
Effective Classification using a small Training Set based on Discretization and Statistical Analysis [PDF]
, 2015 This work deals with the problem of producing a fast and accurate data classification, learning it from a possibly small set of records that are already classified. The proposed approach is based on the framework of the so-called Logical Analysis of Data
BRUNI, Renato, G. Bianchi
core +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