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Experimental Design

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Showing 651–688 of 688 papers

TitleStatusHype
Systematic Target Function Annotation of Human Transcription Factors—0
Statistical modeling of isoform splicing dynamics from RNA-seq time series data—0
Designing Intelligent Instruments—0
Stopping criteria for boosting automatic experimental design using real-time fMRI with Bayesian optimization—0
Double Relief with progressive weighting function—0
Sequential Design for Ranking Response Surfaces—0
Bayesian hierarchical modelling for inferring genetic interactions in yeast—0
Integrative analysis of gene expression and phenotype data—0
Minimax Structured Normal Means Inference—0
Local Nonstationarity for Efficient Bayesian Optimization—0
Efficient Bayesian experimentation using an expected information gain lower bound—0
PopED lite: an optimal design software for preclinical pharmacokinetic and pharmacodynamic studies—0
Information Gathering in Networks via Active Exploration—0
A Meta-Analysis of the Anomaly Detection ProblemCode0
Polynomial-Chaos-based Kriging—0
Fast and optimal nonparametric sequential design for astronomical observations—0
Randomized Experimental Design for Causal Graph Discovery—0
A Framework for Testing Identifiability of Bayesian Models of Perception—0
Sensitivity Analysis for Computationally Expensive Models using Optimization and Objective-oriented Surrogate Approximations—0
Replicate immunosequencing as a robust probe of B cell repertoire diversity—0
The Advantage of Cross Entropy over Entropy in Iterative Information Gathering—0
Best-Arm Identification in Linear Bandits—0
Experimental Design to Improve Topic Analysis Based Summarization—0
BayesOpt: A Bayesian Optimization Library for Nonlinear Optimization, Experimental Design and BanditsCode0
Near Optimal Bayesian Active Learning for Decision Making—0
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits—0
Compressive Measurement Designs for Estimating Structured Signals in Structured Clutter: A Bayesian Experimental Design Approach—0
Preference Elicitation For General Random Utility Models—0
A modeling approach to design a software sensor and analyze agronomical features - Application to sap flow and grape quality relationship—0
BayesOpt: A Library for Bayesian optimization with Robotics Applications—0
The Group Lasso for Design of Experiments—0
Optimal Data Collection For Informative Rankings Expose Well-Connected Graphs—0
Learning a nonlinear dynamical system model of gene regulation: A perturbed steady-state approachCode0
Active learning of neural response functions with Gaussian processes—0
Learning with Submodular Functions: A Convex Optimization Perspective—0
Near-Optimal Bayesian Active Learning with Noisy Observations—0
Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental DesignCode0
Bayesian Experimental Design of Magnetic Resonance Imaging Sequences—0
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