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pro vyhledávání: '"Rooij, Mark"'
In this paper, we propose the generalized mixed reduced rank regression method, GMR$^3$ for short. GMR$^3$ is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, or
Externí odkaz:
http://arxiv.org/abs/2405.19865
Autor:
de Rooij, Mark
In this paper, we propose to decompose the canonical parameter of a multinomial model into a set of participant scores and category scores. Both sets of scores are linearly constraint to represent external information about the participants and categ
Externí odkaz:
http://arxiv.org/abs/2402.07634
We present a multidimensional data analysis framework for the analysis of ordinal response variables. Underlying the ordinal variables, we assume a continuous latent variable, leading to cumulative logit models. The framework includes unsupervised me
Externí odkaz:
http://arxiv.org/abs/2402.07629
We propose a new mapping tool for supervised and unsupervised analysis of multivariate binary data with multiple items, questions, or response variables. The mapping assumes an underlying proximity response function, where participants can have multi
Externí odkaz:
http://arxiv.org/abs/2402.07624
A quantifier is a supervised machine learning algorithm, focused on estimating the class prevalence in a dataset rather than labeling its individual observations. We introduce Continuous Sweep, a new parametric binary quantifier inspired by the well-
Externí odkaz:
http://arxiv.org/abs/2308.08387
Autor:
van Loon, Wouter, Fokkema, Marjolein, de Vos, Frank, Koini, Marisa, Schmidt, Reinhold, de Rooij, Mark
Publikováno v:
Information Fusion 111 (2024) 102524
Data for which a set of objects is described by multiple distinct feature sets (called views) is known as multi-view data. When missing values occur in multi-view data, all features in a view are likely to be missing simultaneously. This may lead to
Externí odkaz:
http://arxiv.org/abs/2210.14484
Autor:
van Loon, Wouter, Fokkema, Marjolein, de Vos, Frank, Koini, Marisa, Schmidt, Reinhold, de Rooij, Mark
Publikováno v:
In Information Fusion November 2024 111
Autor:
van Loon, Wouter, de Vos, Frank, Fokkema, Marjolein, Szabo, Botond, Koini, Marisa, Schmidt, Reinhold, de Rooij, Mark
Publikováno v:
Frontiers in Neuroscience 16:830630 (2022) 1-15
Multi-view data refers to a setting where features are divided into feature sets, for example because they correspond to different sources. Stacked penalized logistic regression (StaPLR) is a recently introduced method that can be used for classifica
Externí odkaz:
http://arxiv.org/abs/2108.05761
Autor:
Baldassarre, Alessio, Dusseldorp, Elise, D'Ambrosio, Antonio, de Rooij, Mark, Conversano, Claudio
This paper introduces the Bradley-Terry Regression Trunk model, a novel probabilistic approach for the analysis of preference data expressed through paired comparison rankings. In some cases, it may be reasonable to assume that the preferences expres
Externí odkaz:
http://arxiv.org/abs/2107.13920
Autor:
Crone, Eveline A., Bol, Thijs, Braams, Barbara R., de Rooij, Mark, Franke, Barbara, Franken, Ingmar, Gazzola, Valeria, Güroğlu, Berna, Huizenga, Hilde, Hulshoff Pol, Hilleke, Keijsers, Loes, Keysers, Christian, Krabbendam, Lydia, Jansen, Lucres, Popma, Arne, Stulp, Gert, van Atteveldt, Nienke, van Duijvenvoorde, Anna, Veenstra, René
Publikováno v:
In Developmental Cognitive Neuroscience June 2024 67