Multiproduct multivariate calibration can be used to construct a multivariate calibration model from different products. In our case, juices of different flavors were used to provide a particular ...

This framework can also be used to calibrate object detection models. It has recently been shown that calibration on object detection also depends on the position and/or scale of a predicted object ...

In a series of two papers, a new class of parametric models for two-dimensional multivariate (matrix-valued, space-time) adaptive processing is introduced. This class is based on the maximum-entropy ...

A multivariate model to predict delay in diagnosis and treatment of breast cancer in Pakistan: A retrospective cohort study. Aamnah Tariq, Maneeha Tauqir, Mohammad Ebad Ur Rehman, Fatima Faraz, Zaheer ...

This paper presents the implementation of multivariate calibration, which is a Chemometrics technique, on a 16-bit precision, low transistor-count serial sensor signal processor. The primary advantage ...

To achieve this goal, we develop a multivariate regression model of climate change, in which the change in a climate variable is represented by a linear combination of its sensitivity to CO2 forcing, ...

Deepchecks: Tests for Continuous Validation of ML Models & Data. ... Multivariate Time Series Simulation with Generative Adversarial Networks ... genetic-algorithm model-calibration model-validation ...

The multivariate mixture dynamics model: shifted dynamics and correlation skew Damiano Brigo, Camilla Pisani and Francesco Rapisarda 26 April 2019 | Annals of Operations Research, Vol. 299, No. 1-2 ...