A tutorial on Dirichlet Process mixture modeling.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of mathematical psychology"
DOI: 10.1016/j.jmp.2019.04.004
Abstract: Bayesian nonparametric (BNP) models are becoming increasingly important in psychology, both as theoretical models of cognition and as analytic tools. However, existing tutorials tend to be at a level of abstraction largely impenetrable by non-technicians.… read more here.
Keywords: process mixture; psychology; process; dirichlet process ... See more keywords
Supervised Dirichlet Process Mixtures of Principal Component Analysis
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.04.047
Abstract: Abstract We introduce probabilistic principal component analysis (PPCA) into Dirichlet Process Mixtures of Generalized Linear Models (DPGLM) and propose a new model called Supervised Dirichlet Process Mixtures of Principal Component Analysis (SDPM-PCA). In SDPM-PCA, we… read more here.
Keywords: principal component; pca; sdpm pca; dirichlet process ... See more keywords
Flexible weighted dirichlet process mixture modelling and evaluation to address the problem of forecasting return distribution
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Nonparametric Statistics"
DOI: 10.1080/10485252.2020.1836560
Abstract: ABSTRACT Forecasting volatility has been widely addressed in the fields of finance, environmetrics, and other areas involving massive time series. The important part of addressing this problem is how to specify the error term's distribution.… read more here.
Keywords: dirichlet process; address problem; problem forecasting; problem ... See more keywords
The Use of Informed Priors in Biclustering of Gene Expression with the Hierarchical Dirichlet Process
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2901676
Abstract: We motivate and describe the application of Hierarchical Dirichlet Process (HDP) models to the “soft” biclustering of gene expression data, in which we obtain modules (biclusters) where the affiliation of genes and samples with the… read more here.
Keywords: expression; biclustering gene; dirichlet process; hierarchical dirichlet ... See more keywords
A Dirichlet Process Mixture of Robust Task Models for Scalable Lifelong Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3170485
Abstract: While reinforcement learning (RL) algorithms are achieving state-of-the-art performance in various challenging tasks, they can easily encounter catastrophic forgetting or interference when faced with lifelong streaming information. In this article, we propose a scalable lifelong… read more here.
Keywords: process mixture; reinforcement learning; dirichlet process; mixture ... See more keywords
A Dirichlet Process Based Type-1 and Type-2 Fuzzy Modeling for Systematic Confidence Bands Prediction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2019.2892347
Abstract: This paper presents a new methodology for fuzzy logic systems modeling based on the Dirichlet process Gaussian mixture models (DPGMM). The proposed method simultaneously allows for the systematic elicitation of confidence bands as well as… read more here.
Keywords: confidence bands; systematic confidence; dirichlet process; confidence ... See more keywords
Supervised Topic Modeling Using Hierarchical Dirichlet Process-Based Inverse Regression: Experiments on E-Commerce Applications
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2017.2786727
Abstract: The proliferation of e-commerce calls for mining consumer preferences and opinions from user-generated text. To this end, topic models have been widely adopted to discover the underlying semantic themes (i.e., topics). Supervised topic models have… read more here.
Keywords: hierarchical dirichlet; dirichlet process; process based; supervised topic ... See more keywords