Results 81 to 90 of about 914,879 (290)
Bagging and boosting classification trees to predict churn. [PDF]
In this paper, bagging and boosting techniques are proposed as performing tools for churn prediction. These methods consist of sequentially applying a classification algorithm to resampled or reweigthed versions of the data set. We apply these algorithms
Croux, Christophe, Lemmens, Aurélie
core +2 more sources
Gradient boosting for group testing
Machine Learning with ApplicationsWhen conducting disease screening within a population, it is often more efficient and cost effective to group individual specimens and test them in pools, rather than testing each specimen individually.
Erica M. Porter +3 more
doaj +1 more source
Advanced Engineering Materials, EarlyView.More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad +8 more
wiley +1 more source
Machine Learning Approaches for Fatigue Life Prediction of Steel and Feature Importance Analyses
InfrastructuresPredicting fatigue behavior in steel components is highly challenging due to the nonlinear and uncertain nature of material degradation under cyclic loading.
Babak Naeim +6 more
doaj +1 more source
Gradient Boosted Normalizing Flows
, 2020 Appearing in the 34th Conference on Neural Information Processing Systems (NeurIPS 2020), Vancouver ...
Robert A. Giaquinto +1 more
openaire +3 more sources
Biomass Native Structure Into Functional Carbon‐Based Catalysts for Fenton‐Like Reactions
Advanced Functional Materials, EarlyView.This study indicates that eight biomasses with 2D flaky and 1D acicular structures influence surface O types, morphology, defects, N doping, sp2 C, and Co nanoparticles loading in three series of carbon, N‐doped carbon, and cobalt/graphitic carbon. This work identifies how these structural factors impact catalytic pathways, enhancing selective electron
Wenjie Tian +7 more
wiley +1 more source
ada: An R Package for Stochastic Boosting
Journal of Statistical Software, 2006 Boosting is an iterative algorithm that combines simple classification rules with ‘mediocre’ performance in terms of misclassification error rate to produce a highly accurate classification rule. Stochastic gradient boosting provides an enhancement which
Mark Culp +2 more
doaj +3 more sources
Advanced Functional Materials, EarlyView.A soft, dual‐channel hydrogel patch enables simultaneous detection of wound temperature and strain by integrating ion‐diffusion‐mediated thermoelectric and resistive sensing. The conformal design maintains stable performance during motion, capturing subtle inflammatory and mechanical changes for continuous wound monitoring.
Yu Fang +7 more
wiley +1 more source
Bio‐Inspired Synthesis of Macroporous Single Crystal Particles as Scattering Agents
Advanced Functional Materials, EarlyView.A general strategy is presented that delivers unique, single‐crystal microparticles that combine submicron macroporosity and uniform particle shapes. A bioinspired approach is used to occlude three distinct types of additives – polystyrene microspheres, polymer vesicles and amino acids – within calcite single crystals, and subsequent thermal annealing ...
Stephanie E. Foster +11 more
wiley +1 more source
Bio‐Inspired Artificial Ionic Mechanoreceptor
Advanced Functional Materials, EarlyView.A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari +4 more
wiley +1 more source