Results 141 to 150 of about 109,915 (302)

Class Switching Ensembles for Ordinal Regression [PDF]

, 2018
The term ordinal regression refers to classification tasks in which the categories have a natural ordering. The main premise of this learning paradigm is that the ordering can be exploited to generate more accurate predictors. The goal of this work is to
Suarez, A, Perez-Ortiz, M, Antonio Gutierrez, P   +2 more
core  

Ordinal regression on degree of concern.

, 2018
Ordinal regression on degree of concern.
Tai-Yi Yu (5897078), Joseph P. Lavallee (5897075), Bruno Di Giusto (159025)   +2 more
core   +1 more source

Contrasting roles of school and public libraries in lower primary pupils' reading

British Educational Research Journal, EarlyView.
Abstract Libraries represent an important institutional component of children's reading socialisation, yet their role is often treated as uniform despite substantial differences between school and public libraries. This study examines how visits to school and public libraries relate to pupils' reading attitudes, practices and self‐assessed reading ...
Kateřina Balcarová, Jiří Balcar
wiley   +1 more source

The patterns of facial fractures in traumatic brain injury (TBI) patients using ordinal regression: a retrospective study of five years. [PDF]

AIMS Neurosci, 2022
Nawi MAA, Noor NFM, Shaari R, Khaleel AK, Lazin MAM, Sulaiman IM, Mamat M.   +6 more
europepmc   +1 more source

Ordinal regression on climate change knowledge.

, 2018
Ordinal regression on climate change knowledge.
Tai-Yi Yu (5897078), Joseph P. Lavallee (5897075), Bruno Di Giusto (159025)   +2 more
core   +1 more source

Minimizing Off‐Target Effects of CRISPR‐Cas9 With Optimized sgRNA: Evaluation of Efficiency and Specificity in the Tumor Protein 53 (TP53) Region

Biotechnology and Bioengineering, EarlyView.
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) – Cas9‐based genome editing has emerged as a widely used tool across various disciplines, ranging from molecular biology to gene therapy. This revolutionary technology, which enables precise gene editing, represents a significant advancement in biotechnology, opening new frontiers for ...
Ali Mertcan Köse, Monia Ranalli, Drenka Trivanovic, Irina Maslovaric   +3 more
wiley   +1 more source

A coefficient of discrimination for use with nominal and ordinal regression models. [PDF]

J Appl Stat, 2021
Smith TJ, Walker DA, McKenna CM.
europepmc   +1 more source

Building phenotypic character matrices for phylogenetic inference: exploration of 35 years of practice

Biological Reviews, EarlyView.
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins, Mark C. Nikolic, James D. Holmes, Daniela S. Monti, Ernesto E. Vargas‐Parra, Russell D.C. Bicknell, Gregory D. Edgecombe, Katherine Jordan‐Burmeister, John R. Paterson, Shravya Srivastava‐Losey   +9 more
wiley   +1 more source

Group truncated ordinal regression

O'Neill and Barry (1994) proposed truncated logistic regression as an alternative to conditional logistic regression (Breslow and Day, 1980) which has previously been used for the analysis of truncated binary data (Lui et al., 1988).
Barry, Simon C., O'Neill, Terence J.
core  

Ordinal regression of predictors of knowledge.

, 2018
Ordinal regression of predictors of knowledge.
Hayley J. Denison (6166124), Collette Bromhead (3495368), Esther L. Moss (6166130), Karen Bartholomew (6166121), Hersha Patel (6166127), Jeroen Douwes (445627), Susan M. Sherman (6166118)   +6 more
core   +1 more source