Results 51 to 60 of about 437,723 (274)

Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification

, 2017
We introduce globally normalized convolutional neural networks for joint entity classification and relation extraction. In particular, we propose a way to utilize a linear-chain conditional random field output layer for predicting entity types and ...
Adel, Heike, Schütze, Hinrich
core   +1 more source

Quantum Conditional Random Field

, 2019
Conditional random field (CRF) is an important probabilistic machine learning model for labeling sequential data, which is widely utilized in natural language processing, bioinformatics and computer vision. However, training the CRF model is computationally intractable when large scale training samples are processed. Since little work has been done for
Wu, Yusen, Yu, Chao-Hua, Cai, Binbin, Qin, Sujuan, Gao, Fei, Wen, Qiaoyan   +5 more
openaire   +2 more sources

Clinical Practice Guideline for Evaluation and Management of Peripheral Nervous System Manifestations in Sjögren's Disease

Arthritis Care &Research, Accepted Article.
Objectives Sjögren's disease is an autoimmune disorder that can impact multiple organ systems, including the peripheral nervous system (PNS). PNS manifestations, which can exist concurrently, include mononeuropathies, polyneuropathies, and autonomic nervous system neuropathies. To help patients and providers in the decision‐making process, we developed
Anahita Deboo, Robert Fox, Katherine M. Hammitt, Julie Frantsve‐Hawley, Matthew C. Baker, Stamatina Danielides, Eduardo De Sousa, Brent P. Goodman, Jennifer K. King, Steven Mandel, Ghaith Noaiseh, Pantelis P. Pavlakis, George Sarka, R. Hal Scofield, Arun Varadhachary, Daniel J. Wallace, Matt Makara, Nancy Carteron, Steven Carsons, In collaboration with the Consensus Expert Panel (CEP) members   +19 more
wiley   +1 more source

Recognizing Point Clouds Using Conditional Random Fields [PDF]

2014 22nd International Conference on Pattern Recognition, 2014
Detecting objects in cluttered scenes is a necessary step for many robotic tasks and facilitates the interaction of the robot with its environment. Because of the availability of efficient 3D sensing devices as the Kinect, methods for the recognition of objects in 3D point clouds have gained importance during the last years. In this paper, we propose a
Husain, Syed Farzad, Dellen, Babette, Torras, Carme   +2 more
openaire   +3 more sources

Bioprinting Organs—Science or Fiction?—A Review From Students to Students

Advanced Healthcare Materials, EarlyView.
Bioprinting artificial organs has the potential to revolutionize the medical field. This is a comprehensive review of the bioprinting workflow delving into the latest advancements in bioinks, materials and bioprinting techniques, exploring the critical stages of tissue maturation and functionality.
Nicoletta Murenu, Camilla Mussoni, Mateo S. Andrade Mier, Paula Buettner, Nathaly Chicaiza‐Cabezas, Yi‐Yu Robin Dai, Jessica Faber, Maren Fiedler, Zan Lamberger, Xuen Jen Ng, Vanessa Moessler, Anna Rederer, Jonas Roeder, Sabrina Stecher, Katinka Theis, Jeanette Weigelt, Silvia Budday, Gregor Lang, Natascha Schaefer   +18 more
wiley   +1 more source

Hidden State Conditional Random Field for Abnormal Activity Recognition in Smart Homes

Entropy, 2015
As the number of elderly people has increased worldwide, there has been a surge of research into assistive technologies to provide them with better care by recognizing their normal and abnormal activities. However, existing abnormal activity recognition (
Yu Tong, Rong Chen, Jian Gao
doaj   +1 more source

Joint Posterior Probability Active Learning for Hyperspectral Image Classification

Remote Sensing, 2023
Active learning (AL) is an approach that can reduce the dependence on the labeled set significantly. However, most current active-learning methods are only concerned with the first two columns of the posterior probability matrix during the sampling phase.
Shuying Li, Shaowei Wang, Qiang Li
doaj   +1 more source

Metronidazole‐Loaded Cyclodextrin Nanogels for Antibacterial Therapy and Microbiota Regulation in Periodontitis

Advanced Healthcare Materials, EarlyView.
A methacrylamide β‐cyclodextrin‐based nanogel (MACD nGel) is developed to load the antimicrobial drug Metronidazole (MNZ) for topical delivery for the treatment of periodontitis. It is demonstrated that cyclodextrin nanogel (nGel) loaded with metronidazole provides an efficient drug delivery route but also has potential clinical applications and offers
Yanjing Ji, Ruichen Zhang, Dongyi Xu, Patrick C. A. van der Wel, Alessia Lasorsa, Guotai Li, Fangze Guo, Qihui Zhou, Patrick van Rijn   +8 more
wiley   +1 more source

TIER: Temporal Convolutional Network Information Extractor With Conditional Random Field

IEEE Access
As data scales expand, effectively modeling long-distance dependencies has become crucial for information extraction. We propose TIER, which combines the Temporal Convolutional Network (TCN) and the Conditional Random Field (CRF). The dilated convolution
Huiwen Wu, Xiubo Zhang, Tengyuan Zhou, An Hu   +3 more
doaj   +1 more source

Hierarchical Terrain Classification Based on Multilayer Bayesian Network and Conditional Random Field

Remote Sensing, 2017
This paper presents a hierarchical classification approach for Synthetic Aperture Radar (SAR) images. The Conditional Random Field (CRF) and Bayesian Network (BN) are employed to incorporate prior knowledge into this approach for facilitating SAR image ...
Chu He, Xinlong Liu, Di Feng, Bo Shi, Bin Luo, Mingsheng Liao   +5 more
doaj   +1 more source