Pages that link to "Item:Q1605287"
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The following pages link to Ensembling neural networks: Many could be better than all (Q1605287):
Displaying 50 items.
- Ensemble classification based on generalized additive models (Q151094) (← links)
- A multi-kernel support tensor machine for classification with multitype multiway data and an application to cross-selling recommendations (Q323495) (← links)
- On a method for constructing ensembles of regression models (Q462080) (← links)
- Neural network ensembles: Immune-inspired approaches to the diversity of components (Q601022) (← links)
- Sparse ensembles using weighted combination methods based on linear programming (Q609179) (← links)
- Corrigendum to ``Ensembling neural networks: many could be better than all'' (Q622130) (← links)
- Greedy optimization classifiers ensemble based on diversity (Q632627) (← links)
- Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas (Q710628) (← links)
- Multiple graph regularized graph transduction via greedy gradient Max-Cut (Q781050) (← links)
- Rough subspace-based clustering ensemble for categorical data (Q889921) (← links)
- A dynamic overproduce-and-choose strategy for the selection of classifier ensembles (Q936409) (← links)
- Collective-agreement-based pruning of ensembles (Q961226) (← links)
- Using boosting to prune double-bagging ensembles (Q961263) (← links)
- Taxonomy for characterizing ensemble methods in classification tasks: a review and annotated bibliography (Q961895) (← links)
- EROS: Ensemble rough subspaces (Q996469) (← links)
- Ensemble component selection for improving ICA based microarray data prediction models (Q1015183) (← links)
- Particle swarm optimization based selective ensemble of online sequential extreme learning machine (Q1665837) (← links)
- GNSS/low-cost MEMS-INS integration using variational Bayesian adaptive cubature Kalman smoother and ensemble regularized ELM (Q1666326) (← links)
- Weighted classifier ensemble based on quadratic form (Q1677847) (← links)
- Adaptive linear and normalized combination of radial basis function networks for function approximation and regression (Q1719381) (← links)
- Structural combination of seasonal exponential smoothing forecasts applied to load forecasting (Q1719624) (← links)
- A three-way selective ensemble model for multi-label classification (Q1726309) (← links)
- Learning similarity with cosine similarity ensemble (Q1749099) (← links)
- A novel margin-based measure for directed hill climbing ensemble pruning (Q1793078) (← links)
- Input selection based on an ensemble (Q1872136) (← links)
- An efficient and robust adaptive sampling method for polynomial chaos expansion in sparse Bayesian learning framework (Q1988073) (← links)
- Adaboost-based ensemble of polynomial chaos expansion with adaptive sampling (Q2060149) (← links)
- Explainable online ensemble of deep neural network pruning for time series forecasting (Q2102399) (← links)
- A two-stage exact algorithm for optimization of neural network ensemble (Q2117204) (← links)
- Federated personalized random forest for human activity recognition (Q2130143) (← links)
- Interpreting deep learning models with marginal attribution by conditioning on quantiles (Q2172619) (← links)
- Learning with mitigating random consistency from the accuracy measure (Q2217414) (← links)
- A deep learning semiparametric regression for adjusting complex confounding structures (Q2247451) (← links)
- Network traffic classification based on ensemble learning and co-training (Q2267055) (← links)
- A probabilistic model of classifier competence for dynamic ensemble selection (Q2276007) (← links)
- Improving regression predictions using individual point reliability estimates based on critical error scenarios (Q2282280) (← links)
- Selective ensemble of SVDDs with Renyi entropy based diversity measure (Q2289595) (← links)
- A nonparametric ensemble binary classifier and its statistical properties (Q2322566) (← links)
- Kernel matching pursuit classifier ensemble (Q2369588) (← links)
- Cancer classification using ensemble of neural networks with multiple significant gene subsets (Q2383957) (← links)
- Neural network ensembles: evaluation of aggregation algorithms (Q2457679) (← links)
- Face recognition from a single image per person: a survey (Q2498663) (← links)
- Bayesian neural network priors for edge-preserving inversion (Q2674903) (← links)
- Semi-supervised learning using ensembles of multiple 1D-embedding-based label boosting (Q2801845) (← links)
- A hybrid learning-based model for on-line monitoring and diagnosis of out-of-control signals in multivariate manufacturing processes (Q3055354) (← links)
- Modeling resonant frequency of microstrip antenna based on neural network ensemble (Q3076009) (← links)
- Using ensemble and metaheuristics learning principles with artificial neural networks to improve due date prediction performance (Q3605421) (← links)
- (Q4251452) (← links)
- Use of genetic algorithm to design optimal neural network structure (Q4655780) (← links)
- Pruning variable selection ensembles (Q4970243) (← links)
