Prediction-powered inference is a framework for performing valid statistical inference when an experimental dataset is supplemented with predictions from a machine-learning system. The framework yields simple algorithms for computing provably valid confidence intervals for quantities such as means, quantiles,...
Prediction-powered inference is a framework for performing valid statistical inference when an experimental dataset is supplemented with predictions from a machine-learning system. The framework yields simple algorithms for computing provably valid confidence intervals for quantities such as means, quantiles,...
In various domains, the increasing application of machine learning allows researchers to access inexpensive predictive data, which can be utilized as auxiliary data for statistical inference. Although such data are often unreliable compared to gold-standard datasets, Prediction-Powered Inference (PPI) has...
This study, presents an adaptive neuro-fuzzy inference system (ANFIS) based modelling approach to predict the reference power of PV module from solar radiation and temperature, which is required for MPPT system. The photovoltaic(PV) module station at Coimbatore , with 11掳 N latitude and 77掳 ...
We also use the joint inference method to combine the CNN prediction results and the text classifier prediction results on the two datasets. 3. Problem Definition In this section, we first define the table and text and then define the problem of column-type prediction. Table definition. Given ...