Results 21 to 30 of about 1,298,901 (260)
Data representation synthesis [PDF]
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 +4 more
openaire +4 more sources
Multiple Graph Regularized Concept Factorization With Adaptive Weights
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 +5 more
doaj +1 more source
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
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 +3 more
doaj +1 more source
Communication and Language Profiles of Children Treated for Posterior Fossa Brain Tumors
ABSTRACT Background Cognitive and language deficits are frequently reported sequelae of posterior fossa brain tumors (PFBT). Typically, delayed onset impedes prompt assessment and early intervention. This has devastating implications for quality of life.
Zara Sved +4 more
wiley +1 more source
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 +4 more
doaj +1 more source
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski +59 more
wiley +1 more source
Robust Local Learning and Discriminative Concept Factorization for Data Representation
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 +4 more
doaj +1 more source
ABSTRACT Introduction Characterizing stressful events reported by childhood cancer survivors experienced throughout the lifespan may help improve trauma‐informed care relevant to the survivor experience. Methods Participants included 2552 survivors (54% female; 34 years of age) and 469 community controls (62% female; 33 years of age) from the St.
Megan E. Ware +13 more
wiley +1 more source
Most open repositories present a similar interface and workflow to publish data resultant from different types of research methods. Publishing simulation datasets is challenging due to the iterative nature of simulations that generate large numbers and ...
Maria Esteva +5 more
doaj +1 more source

