Ensemble with estimation: seeking for optimization in class noisy data

Robust ensemble learning for mining noisy data streams

a Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China b Centre for Quantum Computation & Intelligent Systems, University of Technology Sydney, Broadway, NSW 2007, Australia c Research Center on Fictitious Economy and Data Science, Chinese Academy of Sciences, Beijing, China d College of Information Science & Technology, Univ. of Nebraska at Omaha, Omaha, NE 68...

Prediction range estimation from noisy Raman spectra with robust optimization.

Inferences need to be drawn in biological systems using experimental multivariate data. The number of samples collected in many such experiments is small, and the data are noisy. We present and study the performance of a robust optimization (RO) model for such situations. We adapt this model to generate a minimum and a maximum estimation of analyte concentration for a given sample, producing a ...

State estimation in quantum homodyne tomography with noisy data

Inverse DEA Model with Fuzzy Data for Output Estimation

In this paper, we show that inverse Data Envelopment Analysis (DEA) models can be used to estimate output with fuzzy data for a Decision Making Unit (DMU) when some or all inputs are increased and deficiency level of the unit remains unchanged.

Model error estimation in ensemble data assimilation

A new methodology is proposed to estimate and account for systematic model error in linear filtering as well as in nonlinear ensemble based filtering. Our results extend the work of Dee and Todling (2000) on constant bias errors to time-varying model errors. In contrast to existing methodologies, the new filter can also deal with the case where no dynamical model for the systematic error is ava...