Results 91 to 100 of about 2,609,891 (296)
Peningkatan Ketepatan Klasifikasi dengan Metode Bootstrap Aggregating pada Regresi Logistik Ordinal
Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi, 2019 Baby's birth weight is influenced by characteristics of pregnant women such as age, parity, education level, pregnancy visit, and gestational age. Classification of the birth weight of a baby is grouped into several groups, namely low birth weight ...
I Ketut Putu Suniantara +2 more
doaj +1 more source
Ordinal regression on climate change knowledge.
, 2018 Ordinal regression on climate change knowledge.
Tai-Yi Yu (5897078) +2 more
core +1 more source
Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot
Advanced Robotics Research, EarlyView.A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini +7 more
wiley +1 more source
Effect Structures in Ordinal Regression: The Adjacent Categories Approach
StatsThe potential of the adjacent categories approach for capturing the influence of explanatory variables on ordinal responses is investigated. Several models with increasing complexity in their linear predictors are considered, and their relationships are ...
Gerhard Tutz
doaj +1 more source
IDENTIFIKASI KARAKTERISTIK KORBAN KECELAKAAN LALU LINTAS DI SIDOARJO TAHUN 2016
The Indonesian Journal of Public Health, 2019 Traffic accident becomes a very serious case because it causes not only material loss but also physical and psychological harms to the subject and the people around him. Accidents that occurred resulted in not only injuries but also death.
daniar mukti septianingtyas
doaj +1 more source
DIF analysis by ordinal logistic regression.
, 2018 DIF analysis by ordinal logistic regression.
Juan Ignacio Aragonés (5988377) +3 more
core +1 more source
Unimodal Distributions for Ordinal Regression
IEEE Transactions on Artificial Intelligence17 ...
Jaime S. Cardoso 0001 +2 more
openaire +2 more sources
Feature Relevance Bounds for Ordinal Regression
CoRR, 2019 The increasing occurrence of ordinal data, mainly sociodemographic, led to a renewed research interest in ordinal regression, i.e. the prediction of ordered classes. Besides model accuracy, the interpretation of these models itself is of high relevance, and existing approaches therefore enforce e.g. model sparsity.
Pfannschmidt, Lukas +5 more
openaire +5 more sources
Solid Harmonic Wavelet Bispectrum for Image Analysis
Advanced Science, EarlyView.The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
Forecasting of wheat (Triticum aestivum) yield using ordinal logistic regression
The Indian Journal of Agricultural Sciences, 2014 In this study, uses of ordinal logistic model based on weather data has been attempted for forecasting wheat (Triticum aestivum L.) yield in Kanpur district of Uttar Pradesh.
VANDITA KUMARI, AMRENDER KUMAR
doaj +1 more source