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Publications by Kim Murray
Methods to Quantify Variable Importance: Implications for the Analysis of Noisy Ecological Data
Ecology
Evolution
Ecology
Systematics
Behavior
Related publications
A Comparison of Methods to Quantify Control of the Spine
Journal of Biomechanics
Sports Medicine
Sports Science
Biophysics
Orthopedics
Biomedical Engineering
Rehabilitation
The Importance of Local Ecological Studies to Entomology
Psyche (New York)
Insect Science
Evolution
Ecology
Systematics
Behavior
Neural Network Machine Learning Analysis for Noisy Data: R Programming
International Journal of Engineering and Advanced Technology
Engineering
Computer Science Applications
Environmental Engineering
The Predictability of Ecological Stability in a Noisy World
Nature Ecology and Evolution
Evolution
Ecology
Systematics
Behavior
Comparison of Managerial Implications for Utilization of Variable Costing and Throughput Accounting Methods
Journal of Applied Engineering Science
Transportation
Risk
Mechanical Engineering
Civil
Renewable Energy
Structural Engineering
Sustainability
Engineering
Reliability
Safety
Quality
the Environment
Regularized Interpolation for Noisy Data
Bayesian Latent Variable Models for the Analysis of Experimental Psychology Data
Psychonomic Bulletin and Review
Developmental
Arts
Educational Psychology
Cognitive Psychology
Humanities
Experimental
Statistical Methods for Microarray Data Analysis
Methods in Molecular Biology
Genetics
Molecular Biology
Arguing From Experience to Classifying Noisy Data
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science