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Experimental Design

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Showing 601–650 of 688 papers

TitleStatusHype
Approximation Algorithms for D-optimal Design—0
Covariance Function Pre-Training with m-Kernels for Accelerated Bayesian Optimisation—0
Gaussian Process Landmarking on Manifolds—0
Information Assisted Dictionary Learning for fMRI data analysisCode0
On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data—0
Greedy Active Learning Algorithm for Logistic Regression Models—0
Experimental design trade-offs for gene regulatory network inference: an in silico study of the yeast Saccharomyces cerevisiae cell cycle—0
Artificial Intelligence and Statistics—0
Experimental Design for Learning Causal Graphs with Latent Variables—0
Design of Sampling Set for Bandlimited Graph Signal Estimation—0
Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach—0
Occipital and left temporal EEG correlates of phenomenal consciousness—0
Approximate Supermodularity Bounds for Experimental Design—0
Creation and analysis of biochemical constraint-based models: the COBRA Toolbox v3.0Code1
Ranking and Selection with Covariates for Personalized Decision Making—0
Robust Optimization of Unconstrained Binary Quadratic Problems—0
On Nesting Monte Carlo Estimators—0
MOLTE: a Modular Optimal Learning Testing Environment—0
A Capacity Scaling Law for Artificial Neural NetworksCode0
Near-Optimal Design of Experiments via Regret Minimization—0
Variational online learning of neural dynamicsCode0
Hierarchical clustering of DNA k-mer counts in RNA-seq fastq files reveals batch effects—0
Living Labs - An Ethical Challenge for Researchers and Platform Providers—0
Quadratic Unconstrained Binary Optimization Problem Preprocessing: Theory and Empirical AnalysisCode0
Pitfalls and Best Practices in Algorithm ConfigurationCode0
Negative Results in Computer Vision: A Perspective—0
Improving drug sensitivity predictions in precision medicine through active expert knowledge elicitation—0
Experimental Design for Non-Parametric Correction of Misspecified Dynamical Models—0
High-Dimensional Materials and Process Optimization using Data-driven Experimental Design with Well-Calibrated Uncertainty Estimates—0
Budgeted Batch Bayesian Optimization With Unknown Batch Sizes—0
Polynomial Time Algorithms for Dual Volume Sampling—0
Guarantees for Greedy Maximization of Non-submodular Functions with ApplicationsCode0
Optimal Experimental Design of Field Trials using Differential Evolution—0
Flux ratios and channel structures—0
Scalable Group Level Probabilistic Sparse Factor Analysis—0
Automatic Event Detection for Signal-based Surveillance—0
Adaptive optimal training of animal behavior—0
NMRProcFlow: A graphical and interactive tool dedicated to 1D spectra processing for NMR-based metabolomics—0
Kriging Metamodels and Experimental Design for Bermudan Option Pricing—0
Testing separability and independence of perceptual dimensions with general recognition theory: A tutorial and new R package (grtools)Code0
Funneled Bayesian Optimization for Design, Tuning and Control of Autonomous Systems—0
An Optimal Treatment Assignment Strategy to Evaluate Demand Response Effect—0
An introduction to linear stability analysis for deciphering spatial patterns in signaling networks—0
Estimating mutual information in high dimensions via classification error—0
The limitations of model-based experimental design and parameter estimation in sloppy systems—0
Near-optimal Bayesian Active Learning with Correlated and Noisy Tests—0
Sequential Bayesian optimal experimental design via approximate dynamic programmingCode0
Evaluation and Ensembling of Methods for Reverse Engineering of Brain Connectivity from Imaging Data—0
3D-Printing for Analytical Ultracentrifugation—0
Systematic Target Function Annotation of Human Transcription Factors—0
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