Results 21 to 30 of about 185,427 (266)

On Bridges and Stacks [PDF]

open access: yesMethods of Information in Medicine, 2016
Citation: Sabine Koch, Christoph U. Lehmann, Reinhold Haux. On Bridges and Stacks.
Sabine Koch   +2 more
openaire   +3 more sources

Predicting cervical cancer biopsy results using demographic and epidemiological parameters: a custom stacked ensemble machine learning approach

open access: yesCogent Engineering, 2022
The human papillomavirus (HPV) is responsible for most cervical cancer cases worldwide. This gynecological carcinoma causes many deaths, even though it can be treated by removing malignant tissues at a preliminary stage.
Krishnaraj Chadaga   +5 more
doaj   +1 more source

Interpreting uninterpretable predictors: kernel methods, Shtarkov solutions, and random forests

open access: yesStatistical Theory and Related Fields, 2022
Many of the best predictors for complex problems are typically regarded as hard to interpret physically. These include kernel methods, Shtarkov solutions, and random forests.
T. M. Le, Bertrand Clarke
doaj   +1 more source

Development of a convenient and effective hypertension risk prediction model and exploration of the relationship between Serum Ferritin and Hypertension Risk: a study based on NHANES 2017—March 2020

open access: yesFrontiers in Cardiovascular Medicine, 2023
BackgroundHypertension is a major public health problem, and its resulting other cardiovascular diseases are the leading cause of death worldwide. In this study, we constructed a convenient and high-performance hypertension risk prediction model to ...
Shuang Guo   +8 more
doaj   +1 more source

Power Optimization for Wind Turbines Based on Stacking Model and Pitch Angle Adjustment

open access: yesEnergies, 2020
As we know, power optimization for wind turbines has great significance in the area of wind power generation, which means to make use of wind resources more efficiently.
Zhikun Luo   +4 more
doaj   +1 more source

An Empirical Evaluation of Stacked Ensembles With Different Meta-Learners in Imbalanced Classification

open access: yesIEEE Access, 2021
The selection of a meta-learner determines the success of a stacked ensemble as the meta-learner is responsible for the final predictions of the stacked ensemble.
Seng Zian   +2 more
doaj   +1 more source

MOTIVIC INVARIANTS OF ARTIN STACKS AND 'STACK FUNCTIONS' [PDF]

open access: yesThe Quarterly Journal of Mathematics, 2007
An invariant I of quasiprojective K-varieties X with values in a commutative ring R is "motivic" if I(X)= I(Y)+I(X\Y) for Y closed in X, and I(X x Y)=I(X)I(Y). Examples include Euler characteristics chi and virtual Poincare and Hodge polynomials. We first define a unique extension I' of I to finite type Artin K-stacks F, which is motivic and satisfies ...
openaire   +2 more sources

Comparative Analysis of Hybrid Model Performance Using Stacking and Blending Techniques for Student Drop Out Prediction In MOOC

open access: yesJurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Despite being in high demand as a lifelong learner and academic material supplement, the implementation of Massive Open Online Courses (MOOC) has problems, one of which is the dropout rate (DO) of students, which reaches 93%.
Muhammad Ricky Perdana Putra, Ema Utami
doaj   +1 more source

An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach

open access: yesIEEE Access, 2021
Ensemble learning method is a collaborative decision-making mechanism that implements to aggregate the predictions of learned classifiers in order to produce new instances. Early analysis has shown that the ensemble classifiers are more reliable than any
Sapna Singh Kshatri   +5 more
doaj   +1 more source

Sleep Posture Recognition Method Based on Sparse Body Pressure Features

open access: yesApplied Sciences
Non-visual techniques for identifying sleep postures have become essential for enhancing sleep health. Conventional methods depend on a costly professional medical apparatus that is challenging to adapt for domestic use.
Changyun Li, Guoxin Ren, Zhibing Wang
doaj   +1 more source

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