Results 21 to 30 of about 1,274,997 (260)

Group Sparsity and Graph Regularized Semi-Nonnegative Matrix Factorization with Discriminability for Data Representation

Entropy, 2017
Semi-Nonnegative Matrix Factorization (Semi-NMF), as a variant of NMF, inherits the merit of parts-based representation of NMF and possesses the ability to process mixed sign data, which has attracted extensive attention. However, standard Semi-NMF still
Peng Luo, Jinye Peng
doaj   +1 more source

Data representation synthesis [PDF]

Proceedings of the 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation, 2011
We consider the problem of specifying combinations of data structures with complex sharing in a manner that is both declarative and results in provably correct code. In our approach, abstract data types are specified using relational algebra and functional dependencies.
Hawkins, Peter, Aiken, Alex, Fisher, Kathleen, Rinard, Martin C., Sagiv, Mooly   +4 more
openaire   +4 more sources

Multiple Graph Regularized Concept Factorization With Adaptive Weights

IEEE Access, 2018
Many traditional concept factorization methods employ single graph to approximate the manifold structure of data. Therefore, they cannot capture the underlying geometric structure hidden in data effectively.
Zhenqiu Shu, Xiao-Jun Wu, Pu Huang, Honghui Fan, Zhen Liu, Feiyue Ye   +5 more
doaj   +1 more source

Recent Advances in Variational Autoencoders With Representation Learning for Biomedical Informatics: A Survey

IEEE Access, 2021
Variational autoencoders (VAEs) are deep latent space generative models that have been immensely successful in multiple exciting applications in biomedical informatics such as molecular design, protein design, medical image classification and ...
Ruoqi Wei, Ausif Mahmood
doaj   +1 more source

A Nature-Inspired Partial Distance-Based Clustering Algorithm

Journal of Sensor and Actuator Networks
In the rapidly advancing landscape of digital technologies, clustering plays a critical role in the domains of artificial intelligence and big data. Clustering is essential for extracting meaningful insights and patterns from large, intricate datasets ...
Mohammed El Habib Kahla, Mounir Beggas, Abdelkader Laouid, Mohammad Hammoudeh   +3 more
doaj   +1 more source

A Quality Improvement Initiative to Standardize Pneumocystis jirovecii Pneumonia Prophylaxis in Pediatric Patients With Solid Tumors

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Pediatric patients with extracranial solid tumors (ST) receiving chemotherapy are at an increased risk for Pneumocystis jirovecii pneumonia (PJP). However, evidence guiding prophylaxis practices in this population is limited. A PJP‐related fatality at our institution highlighted inconsistent prescribing approaches and concerns about
Kriti Kumar, Denise M. Connolly, Ellen Kellington, Elyse Zelunka, Karla Kerrigan, Furqan Shaikh, Paul C. Nathan, Meredith S. Irwin, Sarah Cohen‐Gogo   +8 more
wiley   +1 more source

Exploring Whether Data Can be Represented as a Composite Unit in Form Processing Using the Manufacturing of Information Approach

Information, 2019
Data and information quality have been recognized as essential components for improving business efficiency. One approach for the assessment of information quality (IQ) is the manufacturing of information (MI).
Monica Blasco-Lopez, Robert Hausler, Rabindranarth Romero-Lopez, Mathias Glaus, Rafael Diaz-Sobac   +4 more
doaj   +1 more source

Sickle Cell Disease Is an Inherent Risk for Asthma in a Sibling Comparison Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Sickle cell disease (SCD) and asthma share a complex relationship. Although estimates vary, asthma prevalence in children with SCD is believed to be comparable to or higher than the general population. Determining whether SCD confers an increased risk for asthma remains challenging due to overlapping symptoms and the ...
Suhei C. Zuleta De Bernardis, Okeleji Olayinka, Mariam Z. Quraishi, Lakshmi V. Srivaths, Deborah L. Brown, Neethu M. Menon, Ricardo A. Mosquera, Ashwin P. Patel, James M. Stark, Aravind Yadav   +9 more
wiley   +1 more source

Pazopanib Combined With Vincristine and Irinotecan in Relapsed Wilms Tumor: Encouraging Outcomes in a Heavily Pretreated Pediatric Cohort

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While Wilms tumor (WT) typically has a favorable prognosis, relapsed cases—especially those with high‐risk histology—remain therapeutically challenging after intensive frontline therapy. The combination of vincristine and irinotecan has demonstrated activity in pediatric solid tumors, and pazopanib, a multi‐targeted tyrosine kinase ...
Maria Debora De Pasquale, Alessandro Crocoli, Giuseppe Maria Milano, Pierluigi Di Paolo, Francesca Diomedi Camassei, Ida Russo, Annalisa Serra   +6 more
wiley   +1 more source

Robust Local Learning and Discriminative Concept Factorization for Data Representation

IEEE Access, 2018
Concept factorization (CF), as a matrix factorization method, has been applied widely in obtaining an optimal data representation and has yielded impressive results. However, some shortcomings exist in the existing CF method.
Wei Jiang, Xiaoting Feng, Tingting Ma, Ling Xing, Kewei Tang   +4 more
doaj   +1 more source