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Cross-conformal predictors [article]

Vladimir Vovk
2012 arXiv   pre-print
This note introduces the method of cross-conformal prediction, which is a hybrid of the methods of inductive conformal prediction and cross-validation, and studies its validity and predictive efficiency  ...  Cross-conformal predictors Cross-conformal predictors (CCP) are defined as follows.  ...  Figure 2 is the analogue of Figure 1 for naive cross-conformal predictors.  ... 
arXiv:1208.0806v1 fatcat:qqzyvcxg4vgqlhe5qnfwhe5qv4

Cross-conformal predictors

Vladimir Vovk
2013 Annals of Mathematics and Artificial Intelligence  
The computational efficiency of cross-conformal predictors is comparable to that of inductive conformal predictors, and they produce valid predictions in our empirical studies.  ...  This paper introduces the method of cross-conformal prediction, which is a hybrid of the methods of inductive conformal prediction and cross-validation, and studies its validity and informational efficiency  ...  Cross-conformal predictors Cross-conformal predictors (CCPs) are defined as follows.  ... 
doi:10.1007/s10472-013-9368-4 fatcat:jl3gsshlvzcspmfr4vynxop52a

A Cross-Conformal Predictor for Multi-label Classification [chapter]

Harris Papadopoulos
2014 IFIP Advances in Information and Communication Technology  
This work examines the application of a recently developed framework called Conformal Prediction (CP) to the multi-label learning setting.  ...  In order to use the scores produced by ML-RBF for computing the nonconformity scores of the proposed Cross-Conformal Predictor, the former were transformed to the range [0, 1] with the logistic sigmoid  ...  ML-RBF Cross-Conformal Predictor This section describes the proposed approach, which in effect comes down to the definition of a suitable nonconformity measure for multi-label classification and its use  ... 
doi:10.1007/978-3-662-44722-2_26 fatcat:ihxralo26fg3fop2qpom3mqwgy

Prediction of Metabolic Transformations using Cross Venn-ABERS Predictors

Staffan Arvidsson, Ola Spjuth, Lars Carlsson, Paolo Toccaceli
2017 International Symposium on Conformal and Probabilistic Prediction with Applications  
Prediction of drug metabolism is an important topic in the drug discovery process, and we here present a study using probabilistic predictions applying Cross Venn-ABERS Predictors (CVAPs) on data for site-of-metabolism  ...  Cross Venn-ABERS Predictor The Cross Venn-ABERS Predictor (CVAP) is built up by combining the results from k IVAPs, where k is a definable parameter of the CVAP algorithm.  ...  The aim of this paper is to evaluate the applicability of Cross Venn-ABERS Predictors (CVAPs) within the field of predictive metabolism.  ... 
dblp:conf/copa/ArvidssonSCT17 fatcat:6kbjog5pcfblve5qcylbhel2ji

Cross-conformal e-prediction [article]

Vladimir Vovk
2020 arXiv   pre-print
The situation with cross-conformal prediction is, however, different: whereas for cross-conformal prediction validity is only an empirical fact (and can be broken with excessive randomization), this note  ...  This note discusses a simple modification of cross-conformal prediction inspired by recent work on e-values.  ...  Cross-conformal e-predictors A Σ-valued split conformity measure A is a Σ-valued cross-conformity measure if A(z 1 , . . . , z m , z) does not depend on the order of its first m arguments.  ... 
arXiv:2001.05989v1 fatcat:uiwq43n6nrg7jhhu56j7vn4scu

On the Calibration of Aggregated Conformal Predictors

Henrik Linusson, Ulf Norinder, Henrik Boström, Ulf Johansson, Tuve Löfström
2017 International Symposium on Conformal and Probabilistic Prediction with Applications  
As part of the efforts in constructing efficient conformal predictors, aggregated conformal predictors were developed, drawing inspiration from the field of classification and regression ensembles.  ...  In this paper, we show why validity is not automatic for aggregated conformal predictors, and provide a revised definition of aggregated conformal predictors that gains approximate validity conditional  ...  predictors (and cross-conformal predictors); see Equations ( 15 ) and ( 16 ), respectively.  ... 
dblp:conf/copa/LinussonNBJL17 fatcat:by2owomk3jh3hpfq7few2nnvya

Transformer-based conformal predictors for paraphrase detection

Patrizio Giovannotti, Alex J. Gammerman
2021 International Symposium on Conformal and Probabilistic Prediction with Applications  
In this work we build several variants of transformer-based conformal predictors and study their behaviour on a standard PD dataset.  ...  Acknowledgments This research was partially supported by the Amazon AWS award "Conformal Martingales for Change-Point Detection".  ...  a cross-conformal predictor XCP and its Mondrian variant MXCP.  ... 
dblp:conf/copa/GiovannottiG21 fatcat:aq45pazsqbbnnjafzd5sx7zgoi

Yet Another Solution to Galton's Problem

Trevor Denton
2007 Cross-Cultural Research  
There are implications for the construction of new cross-cultural samples. I n the 1800s, E. B.  ...  The solution advocated here is to model all the behavioral relations connecting a construct y to its predictors in a correctly specified theoretical model, including the behavioral relations Galton had  ...  As in the appendix, conformity to neighbors is measured in Table 1 using V200 of Divale (2004) .  ... 
doi:10.1177/1069397106291841 fatcat:6w54ury6szhbpb5yxqehg2qfjm

A sequence-based hybrid predictor for identifying conformationally ambivalent regions in proteins

Yu-Cheng Liu, Meng-Han Yang, Win-Li Lin, Chien-Kang Huang, Yen-Jen Oyang
2009 BMC Genomics  
As conformational transition plays a key role in carrying out several essential types of biological functions, the design of more advanced predictors for identifying conformationally ambivalent regions  ...  Proteins are dynamic macromolecules which may undergo conformational transitions upon changes in environment.  ...  It must be noted that in this experiment we carried out an additional run of cross validation to set the parameters of the hybrid predictor differently due to the fact that a different definition of conformational  ... 
doi:10.1186/1471-2164-10-s3-s22 pmid:19958486 pmcid:PMC2788375 fatcat:h7pdxwqq6ndkpgixkctubnlva4

Synergy Conformal Prediction for Regression - presentation at ICPRAM 2021 [article]

Ola Spjuth, Niharika Gauraha
In this paper we extend the methodology to regression problems, and we show that it produces valid and efficient predictors compared to inductive conformal predictors and cross-conformal predictors for  ...  Combining results from conformal predictors using synergy rules has been shown to have advantageous properties for classification problems.  ...  Synergy Conformal Predictors • Synergy Conformal Prediction (SCP) was recently proposed to address the validity problem of ensembles of conformal predictors that combines monotonic conformity scores instead  ... 
doi:10.6084/m9.figshare.13727899.v1 fatcat:l2hdc67pxrhjvekqhmmmxaxbf4

Conformal Prediction with Orange

Tomaz Hocevar, Blaz Zupan, Jonna Stålring
2021 Journal of Statistical Software  
Conformal predictors estimate the reliability of outcomes made by supervised machine learning models.  ...  To promote the selection of a successful approach, we have developed Orange3-Conformal, a Python library that provides a range of conformal prediction methods for classification and regression.  ...  Usually, we would employ a cross conformal instead of an inductive predictor in situations where the data set is too small for a fixed partition into separate training, calibration and testing sets.  ... 
doi:10.18637/jss.v098.i07 fatcat:pvophpp27zdzpk3cmwba4sngpu

Conformal Prediction Based on K-Nearest Neighbors for Discrimination of Ginsengs by a Home-Made Electronic Nose

Zhan Wang, Xiyang Sun, Jiacheng Miao, You Wang, Zhiyuan Luo, Guang Li
2017 Sensors  
In offline mode, the conformal predictor achieves a classification rate of 84.44% based on 1NN and 80.63% based on 3NN, which is better than that of simple KNN.  ...  Nonconformity measure based on k-nearest neighbors (KNN) is implemented separately as underlying algorithm of conformal prediction.  ...  Predictors 1NN 3NN Forced conformal predictor 84.44% 80.63% Simple predictor 84.13% 77.46% Table 5 . 5 Criterion of efficiency for online conformal predictors.  ... 
doi:10.3390/s17081869 pmid:28805721 pmcid:PMC5579557 fatcat:ge77tghunzewpc5k6uzti5cur4

Recent advances in B-cell epitope prediction methods

Yasser EL-Manzalawy, Vasant Honavar
2010 Immunome Research  
One of the first conformational B-cell epitope predictors is the conformational epitope predictor (CEP) [7] .  ...  However, a comparison of predictors based on AUC can yield misleading conclusions when the corresponding ROC curves cross.  ... 
doi:10.1186/1745-7580-6-s2-s2 pmid:21067544 pmcid:PMC2981878 fatcat:3zjfvl2fkjgxdakyxrah2ioioa

On the Origins of Cultural Differences in Conformity: Four Tests of the Pathogen Prevalence Hypothesis

Damian R. Murray, Russell Trudeau, Mark Schaller
2011 Personality and Social Psychology Bulletin  
What are the origins of cultural differences in conformity?  ...  cultural differences may reflect historical variability in the prevalence of disease-causing pathogens: Where pathogens were more prevalent, there were likely to emerge cultural norms promoting greater conformity  ...  is a unique predictor of crosscultural variability in conformity pressure.  ... 
doi:10.1177/0146167210394451 pmid:21307175 fatcat:stnrtabd5bbiznlxzsstyo4hfa

Automatic evaluation of contours in radiotherapy planning utilising conformity indices and machine learning

Samsara Terparia, Romaana Mir, Yat Tsang, Catharine H Clark, Rushil Patel
2020 Physics and Imaging in Radiation Oncology  
A 5-fold cross validation method was employed to determine the predictive accuracies of each model.  ...  Contours were scored as "pass" or "fail" on visual peer review and six Conformity Indices (CIs) were applied.  ...  Using CIs alone to assess conformity is limited, as CI values vary between structures. Currently, no criteria exist to define structure specific CI values that demonstrate high and low conformity.  ... 
doi:10.1016/j.phro.2020.10.008 pmid:33458359 pmcid:PMC7807884 fatcat:6g2avst5rbga7hqonhjx23egim
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