Results 61 to 70 of about 2,058,652 (297)
Feature ranking in hoeffding algorithms for regression [PDF]
Proceedings of the Symposium on Applied Computing, 2017 Feature selection and feature ranking are two aspects of the same learning task. They are well studied in batch scenarios, but not in the streaming setting. This paper presents a study on feature ranking from data streams in online learning regression models. The main challenge here is the relevance of features might change over time: features relevant
João Duarte, João Gama 0001
openaire +2 more sources
Pseudo code for feature ranking method.
, 2017 Pseudo code for feature ranking method.
Wajid Mumtaz (3714007) +4 more
core +1 more source
Pairwise meta-rules for better meta-learning-based algorithm ranking [PDF]
, 2013 In this paper, we present a novel meta-feature generation method in the context of meta-learning, which is based on rules that compare the performance of individual base learners in a one-against-one manner.
Pfahringer, Bernhard, Sun, Quan
core +1 more source
Feature ranking for the Oklahoma African American dataset.
, 2022 Feature ranking for the Oklahoma African American dataset.
Rachel Bennett (7649594) +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine +21 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Outcomes in relapsed or refractory pediatric and AYA bone sarcomas remain poor, and the impact of early referral to specialized sarcoma centers on survival is unclear. Early centralization of care may improve local and systemic treatment quality, but evidence in this population is limited.
Justyna Antoniuk‐Majchrzak +9 more
wiley +1 more source
Feature ranking for multi-target regression [PDF]
Machine Learning, 2019 This paper considers multi-task regression (MTR) where the goal is to learn a model that predicts several target variables simultaneously. In particular the authors address the task of feature ranking to score the importance of descriptive attributes. While there is several work on feature ranking in single-task regression, this paper presents one of ...
Matej Petkovic +2 more
openaire +3 more sources
Results of Hierarchical after feature ranking.
, 2016 Results of Hierarchical after feature ranking.
Maheyzah Md Siraj (3366005) +4 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques +5 more
wiley +1 more source
Feature ranking for the Texas African American dataset.
, 2022 Feature ranking for the Texas African American dataset.
Rachel Bennett (7649594) +4 more
core +1 more source