Search Results for author:
Found 4 papers, 0 papers with code
Auto-Encoder Neural Network Incorporating X-Ray Fluorescence Fundamental Parameters with Machine Learning
We consider energy-dispersive X-ray Fluorescence (EDXRF) applications where the fundamental parameters method is impractical such as when instrument parameters are unavailable.
Automatic Neural Network Hyperparameter Optimization for Extrapolation: Lessons Learned from Visible and Near-Infrared Spectroscopy of Mango Fruit
To encourage the neural network model to extrapolate, we consider validating model configurations on samples that are shifted in time similar to the test set.
Binarised Regression with Instance-Varying Costs: Evaluation using Impact Curves
In binarised regression, binary decisions are generated from a learned regression model (or real-valued dependent variable), which is useful when the division between instances that should be predicted positive or negative depends on the utility.
Comparing Aggregators for Relational Probabilistic Models
Relational probabilistic models have the challenge of aggregation, where one variable depends on a population of other variables.
