The following pages link to Scikit (Q20073):
Displaying 50 items.
- A method to enrich experimental datasets by means of numerical simulations in view of classification tasks (Q5034812) (← links)
- A descriptive study of variable discretization and cost-sensitive logistic regression on imbalanced credit data (Q5037001) (← links)
- Measuring the Algorithmic Convergence of Randomized Ensembles: The Regression Setting (Q5037548) (← links)
- Newton Method for Stochastic Control Problems (Q5039281) (← links)
- On Tackling Explanation Redundancy in Decision Trees (Q5041018) (← links)
- A Machine Learning Based Software Pipeline to Pick the Variable Ordering for Algorithms with Polynomial Inputs (Q5041068) (← links)
- A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data (Q5041149) (← links)
- Modeling surrender risk in life insurance: theoretical and experimental insight (Q5042783) (← links)
- Improving logistic regression on the imbalanced data by a novel penalized log-likelihood function (Q5044639) (← links)
- A Comparative Study on Machine Learning Techniques for Intense Convective Rainfall Events Forecasting (Q5048369) (← links)
- Finite Volume Models and Efficient Simulation Tools (EST) for Shallow Flows (Q5050105) (← links)
- Joint Use of Node Attributes and Proximity for Node Classification (Q5050367) (← links)
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- Bootstrapping more QM systems (Q5053952) (← links)
- Clustering Dynamics on Graphs: From Spectral Clustering to Mean Shift Through Fokker–Planck Interpolation (Q5054577) (← links)
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- Large-Scale Algorithmic Search Identifies Stiff and Sloppy Dimensions in Synaptic Architectures Consistent With Murine Neocortical Wiring (Q5054910) (← links)
- FCA2VEC: Embedding Techniques for Formal Concept Analysis (Q5054975) (← links)
- Generalization error rates in kernel regression: the crossover from the noiseless to noisy regime* (Q5055412) (← links)
- Particle dual averaging: optimization of mean field neural network with global convergence rate analysis* (Q5055425) (← links)
- Survival Regression with Accelerated Failure Time Model in XGBoost (Q5057266) (← links)
- Big data approaches to knot theory: Understanding the structure of the Jones polynomial (Q5057321) (← links)
- Efficient global optimization for high-dimensional constrained problems by using the Kriging models combined with the partial least squares method (Q5058821) (← links)
- Size and shape of tracked Brownian bridges (Q5059825) (← links)
- Building a Location-Based Set of Social Media Users (Q5060489) (← links)
- A Classifier to Decide on the Linearization of Mixed-Integer Quadratic Problems in CPLEX (Q5060504) (← links)
- A data-driven reconstruction of Horndeski gravity via the Gaussian processes (Q5061957) (← links)
- Least-Square Approximation for a Distributed System (Q5066485) (← links)
- A deep learning approach to cosmological dark energy models (Q5068403) (← links)
- Using Neural Networks for a Universal Framework for Agent-based Models (Q5070676) (← links)
- Can we replicate real human behaviour using artificial neural networks? (Q5072000) (← links)
- Approximation Bounds for Sparse Programs (Q5073726) (← links)
- Unbiased variable importance for random forests (Q5079869) (← links)
- Python for Probability, Statistics, and Machine Learning (Q5082232) (← links)
