4 papers · 1 filter
Combining Prediction Intervals on Multi-Source Non-Disclosed Regression Datasets
Ola Spjuth, Robin Carrión Brännström, Lars Carlsson +1
Conformal Prediction is a framework that produces prediction intervals based on the output from a machine learning algorithm. In this paper we explore the case when training data i…
Aggregating Predictions on Multiple Non-disclosed Datasets using Conformal Prediction
Ola Spjuth, Lars Carlsson, Niharika Gauraha
Conformal Prediction is a machine learning methodology that produces valid prediction regions under mild conditions. In this paper, we explore the application of making predictions…
conformalClassification: A Conformal Prediction R Package for Classification
Niharika Gauraha, Ola Spjuth
The conformalClassification package implements Transductive Conformal Prediction (TCP) and Inductive Conformal Prediction (ICP) for classification problems. Conformal Prediction (C…
Conformal Prediction in Learning Under Privileged Information Paradigm with Applications in Drug Discovery
Niharika Gauraha, Lars Carlsson, Ola Spjuth
This paper explores conformal prediction in the learning under privileged information (LUPI) paradigm. We use the SVM+ realization of LUPI in an inductive conformal predictor, and…