Results 41 to 50 of about 2,058,652 (297)
Structured Ranking Method-based Feature Selection in Data Mining [PDF]
—Feature selection has been emphasized on an operative approach for dealing with large volume data. The majority of these approaches are skewed into high-ranking features to get well right features towards classification.
Mohapatra, Srikanta Kumar +3 more
core +1 more source
Application of Biological Domain Knowledge Based Feature Selection on Gene Expression Data
In the last two decades, there have been massive advancements in high throughput technologies, which resulted in the exponential growth of public repositories of gene expression datasets for various phenotypes.
Malik Yousef +2 more
doaj +1 more source
The Feature Importance Ranking Measure [PDF]
15 pages, 3 figures. to appear in the Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD ...
Alexander Zien +3 more
openaire +4 more sources
This work proposes a data-driven methodology for identifying critical components in Complex Technical Infrastructures (CTIs), for which the functional logic and/or the system structure functions are not known due the CTI’s complexity and evolving nature.
Ahmed Shokry +4 more
doaj +1 more source
Efficient Feature Ranking and Selection Using Statistical Moments
Unsupervised feature selection methods can be more efficient than supervised methods, which rely on the expensive and time-consuming data labeling process.
Yael Hochma, Yuval Felendler, Mark Last
doaj +1 more source
Feature-enriched author ranking in incomplete networks
Evaluating scientists based on their scientific production is a controversial topic. Nevertheless, bibliometrics and algorithmic approaches can assist traditional peer review in numerous tasks, such as attributing research grants, deciding scientific ...
Jorge Silva +2 more
doaj +1 more source
Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source
Feature ranking for the Oklahoma Native American dataset.
Feature ranking for the Oklahoma Native American dataset.
Rachel Bennett (7649594) +4 more
core +1 more source
Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz +12 more
wiley +1 more source

