The following pages link to Scikit (Q20073):
Displaying 50 items.
- Dataset2Vec: learning dataset meta-features (Q2036744) (← links)
- Time series extrinsic regression. Predicting numeric values from time series data (Q2036749) (← links)
- Structuring data with block term decomposition: decomposition of joint tensors and variational block term decomposition as a parametrized mixture distribution model (Q2038495) (← links)
- Clustering of measures via mean measure quantization (Q2044371) (← links)
- An effective procedure for feature subset selection in logistic regression based on information criteria (Q2044566) (← links)
- Learning via variably scaled kernels (Q2045087) (← links)
- Fast honey classification using infrared spectrum and machine learning (Q2045496) (← links)
- Surrogate optimization of deep neural networks for groundwater predictions (Q2046338) (← links)
- Machine learning versus semidefinite programming approach to a particular problem of the theory of open quantum systems (Q2046413) (← links)
- Interpolation of sparse high-dimensional data (Q2048831) (← links)
- Scenario generation by selection from historical data (Q2051173) (← links)
- \(F^*\): an interpretable transformation of the F-measure (Q2051253) (← links)
- Bayesian optimization with approximate set kernels (Q2051286) (← links)
- Quick-means: accelerating inference for K-means by learning fast transforms (Q2051290) (← links)
- autoBOT: evolving neuro-symbolic representations for explainable low resource text classification (Q2051301) (← links)
- MODES: model-based optimization on distributed embedded systems (Q2051343) (← links)
- Radon cumulative distribution transform subspace modeling for image classification (Q2051558) (← links)
- Combining multi-target regression deep neural networks and kinetic modeling to predict relative fluxes in reaction systems (Q2051826) (← links)
- LUNAR: cellular automata for drifting data streams (Q2053913) (← links)
- Fitness landscape analysis of automated machine learning search spaces (Q2057125) (← links)
- Machine learning to approximate free-surface Green's function and its application in wave-body interactions (Q2058093) (← links)
- Using tornado-related weather data to route unmanned aerial vehicles to locate damage and victims (Q2063081) (← links)
- Temporal mixture ensemble models for probabilistic forecasting of intraday cryptocurrency volume (Q2064616) (← links)
- Genome-wide covariation in SARS-CoV-2 (Q2066456) (← links)
- Mechanistic gene networks inferred from single-cell data with an outlier-insensitive method (Q2066481) (← links)
- Learning context-dependent choice functions (Q2069057) (← links)
- Data-driven spatial branch-and-bound algorithms for box-constrained simulation-based optimization (Q2070360) (← links)
- Superquantiles at work: machine learning applications and efficient subgradient computation (Q2070410) (← links)
- \texttt{OWL2Vec}*: embedding of OWL ontologies (Q2071326) (← links)
- Linear support vector regression with linear constraints (Q2071335) (← links)
- Automatic discovery of interpretable planning strategies (Q2071410) (← links)
- IntelligentPooling: practical Thompson sampling for mHealth (Q2071414) (← links)
- MLife: a lite framework for machine learning lifecycle initialization (Q2071479) (← links)
- RB-CCR: radial-based combined cleaning and resampling algorithm for imbalanced data classification (Q2071485) (← links)
- RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods (Q2071508) (← links)
- K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means (Q2072412) (← links)
- Projection-based model reduction of dynamical systems using space-time subspace and machine learning (Q2072456) (← links)
- Machine learning in LiDAR 3D point clouds (Q2072582) (← links)
- On large-scale dynamic topic modeling with nonnegative CP tensor decomposition (Q2072587) (← links)
- Classifying sleep states using persistent homology and Markov chains: a pilot study (Q2072596) (← links)
- A survey of statistical learning techniques as applied to inexpensive pediatric obstructive sleep apnea data (Q2072600) (← links)
- Interpretable machine learning: fundamental principles and 10 grand challenges (Q2074414) (← links)
- Simplicial and minimal-variance distances in multivariate data analysis (Q2074654) (← links)
- Clustering multivariate functional data using unsupervised binary trees (Q2076137) (← links)
- On unified framework for nonlinear grey system models: an integro-differential equation perspective (Q2076278) (← links)
- Three-way approximate reduct based on information-theoretic measure (Q2076993) (← links)
- Joint and individual analysis of breast cancer histologic images and genomic covariates (Q2078283) (← links)
- Smoothly adaptively centered ridge estimator (Q2078549) (← links)
- Predictive analytics for real-time auction bidding support: a case on fantasy football (Q2079289) (← links)
- A topological approach for motion track discrimination (Q2080096) (← links)
