The following pages link to Scikit (Q20073):
Displaying 50 items.
- Variational inference and sparsity in high-dimensional deep Gaussian mixture models (Q2080343) (← links)
- Mixture of multivariate Gaussian processes for classification of irregularly sampled satellite image time-series (Q2080360) (← links)
- Decorated merge trees for persistent topology (Q2082453) (← links)
- A forward-backward greedy approach for sparse multiscale learning (Q2083098) (← links)
- A confidence-based aerospace design approach robust to structural turbulence closure uncertainty (Q2084092) (← links)
- Use of low-fidelity models with machine-learning error correction for well placement optimization (Q2085088) (← links)
- Analysing ego-networks via typed-edge graphlets: a case study of chronic pain patients (Q2086636) (← links)
- Heterogeneity in households' stock market beliefs. Levels, dynamics, and epistemic uncertainty (Q2088284) (← links)
- Error-correcting neural networks for semi-Lagrangian advection in the level-set method (Q2088344) (← links)
- Enhanced step-wise approximation to speech file in a noisy environment (Q2091466) (← links)
- A classification-based heuristic approach for dynamic environments (Q2091551) (← links)
- A minimax framework for quantifying risk-fairness trade-off in regression (Q2091849) (← links)
- Deep evidential fusion network for medical image classification (Q2092457) (← links)
- Classifying and explaining defects with small data for the semiconductor industry (Q2094849) (← links)
- A new non-Archimedean metric on persistent homology (Q2095728) (← links)
- Oblique decision tree induction by cross-entropy optimization based on the von Mises-Fisher distribution (Q2095749) (← links)
- Numerical simulation and predictive modeling of an inextensible filament in two-dimensional viscous shear flow using the immersed boundary/coarse-graining method and artificial neural networks (Q2096822) (← links)
- Reliability analysis of discrete-state performance functions via adaptive sequential sampling with detection of failure surfaces (Q2096838) (← links)
- Emulation of cardiac mechanics using graph neural networks (Q2096869) (← links)
- Classical symmetries and the quantum approximate optimization algorithm (Q2099573) (← links)
- GenMod: a generative modeling approach for spectral representation of PDEs with random inputs (Q2099749) (← links)
- Traditional and context-specific spam detection in low resource settings (Q2102320) (← links)
- Spatial dependence between training and test sets: another pitfall of classification accuracy assessment in remote sensing (Q2102335) (← links)
- Optimised one-class classification performance (Q2102347) (← links)
- A network-based positive and unlabeled learning approach for fake news detection (Q2102409) (← links)
- A new accelerated proximal boosting machine with convergence rate \(O(1/t^2)\) (Q2103099) (← links)
- Parameterized maximum-entropy-based three-way approximate attribute reduction (Q2105564) (← links)
- A template attack to reconstruct the input of SHA-3 on an 8-bit device (Q2106680) (← links)
- Prescriptive selection of machine learning hyperparameters with applications in power markets: retailer's optimal trading (Q2106752) (← links)
- Statistical learning from biased training samples (Q2106792) (← links)
- Random forest estimation of conditional distribution functions and conditional quantiles (Q2106811) (← links)
- A multi-element non-intrusive polynomial chaos method using agglomerative clustering based on the derivatives to study irregular and discontinuous quantities of interest (Q2106992) (← links)
- Compact data encoding for data re-uploading quantum classifier (Q2107011) (← links)
- Systematic Bayesian posterior analysis guided by Kullback-Leibler divergence facilitates hypothesis formation (Q2109318) (← links)
- One-shot learning of stochastic differential equations with data adapted kernels (Q2111726) (← links)
- Multiscale modelling and material design of woven textiles using Gaussian processes (Q2115411) (← links)
- Optimizing revenue while showing relevant assortments at scale (Q2116864) (← links)
- A two-stage exact algorithm for optimization of neural network ensemble (Q2117204) (← links)
- Learning to sparsify travelling salesman problem instances (Q2117244) (← links)
- OptiLog: a framework for SAT-based systems (Q2118280) (← links)
- On the hierarchical community structure of practical Boolean formulas (Q2118321) (← links)
- Machine learning with kernels for portfolio valuation and risk management (Q2120539) (← links)
- How to fool a black box machine learning based side-channel security evaluation (Q2120993) (← links)
- Forward and backward uncertainty quantification with active subspaces: application to hypersonic flows around a cylinder (Q2122694) (← links)
- Multi-label feature selection based on the division of label topics (Q2123547) (← links)
- Data-driven discovery of coarse-grained equations (Q2124010) (← links)
- Mesoscale informed parameter estimation through machine learning: a case-study in fracture modeling (Q2125026) (← links)
- Windowed least-squares model reduction for dynamical systems (Q2127002) (← links)
- Automatic topography of high-dimensional data sets by non-parametric density peak clustering (Q2127128) (← links)
- ReliefE: feature ranking in high-dimensional spaces via manifold embeddings (Q2127230) (← links)
