“…The method performs bottom-up hierarchical clustering, using a Dirichlet Process (infinite mixture) to model uncertainty in the data and Bayesian model selection to decide at each step which clusters to merge. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…To model the distribution of the hidden states, we have applied the Hierarchical Dirichlet Process Hidden Markov Model, a non-parametric extension of the traditional Hidden Markov Model, which does not require us to fix the number of hidden states in advance. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…This paper presents new biostatistical methods for the analysis of microbiome data based on a fully parametric approach using all the data. The Dirichlet-multinomial distribution allows the analyst to calculate power and sample sizes for experimental design, perform tests of hypotheses (e.g., compare microbiomes across groups), and to estimate parameters describing microbiome properties. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We propose a Bayesian hierarchical regression model with a generalization of the Dirichlet process prior on the distribution of the regression coefficients that describes the relationship between the changes in amino acid distances and natural selection in protein-coding DNA sequence alignments. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In this paper, we present a method which combines the Latent Dirichlet Allocation (LDA) algorithm and the Support Vector Machine (SVM). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…The proposed model shows more flexibility and greater expressive power than the commonly-used latent Dirichlet allocation (LDA) approach, leading to a higher recognition accuracy in the behavior classification.…”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We firstly find the distinguishing terms between tweets in events and measure their similarities with learning language models such as ConceptNet and a latent Dirichlet allocation method for selectional preferences (LDA-SP), which have been widely studied based on large text corpora within computational linguistic relations. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…To improve the estimation accuracy of continuous clock offset and skew of mobile nodes in WSNs, we propose a novel time synchronization algorithm, the Rao-Blackwellised (RB) particle filter time synchronization algorithm based on the Dirichlet process mixture (DPM) model. In a state-space equation with a linear substructure, state variables are divided into linear and non-linear variables by the RB particle filter algorithm. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Recent advances in wireless communication and advanced (“bigdata”) preditive analytics technologies offer radically new point-of-care treatment approaches for OSA episodes with unprecedented comfort and afforadability. We introduce a Dirichlet process-based mixture Gaussian process (DPMG) model to predict the onset of sleep apnea episodes based on analyzing complex cardiorespiratory signals gathered from a custom-designed wireless wearable multisensory suite. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Using extant data we developed a method of classifying and subsequently generating couple dynamics using a Hierarchical Dirichlet Process Hidden semi-Markov Model (HDP-HSMM). …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In this paper, we present robust methods for automatically segmenting phases in a specified surgical workflow by using latent Dirichlet allocation (LDA) and hidden Markov model (HMM) approaches. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We conduct textual analysis of a sample of more than 200,000 papers written on HIV/AIDS during the past three decades. Using the Latent Dirichlet Allocation method, we disentangle studies that address behavioral and social aspects from other studies and measure the trends of different topics as related to HIV/AIDS. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We implement a Latent Dirichlet Allocation model to discover the thematic structure of the government’s digital database of parliamentary speeches, and construct from it two-mode networks linking Members of the Parliament to the topics they discuss. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We state and prove new generalized Lyapunov-type and Hartman-type inequalities for a conformable boundary value problem of order [Formula: see text] with mixed non-linearities of the form [Formula: see text] satisfying the Dirichlet boundary conditions [Formula: see text] , where [Formula: see text] , [Formula: see text] , and g are real-valued integrable functions, and the non-linearities satisfy the conditions [Formula: see text] . …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We introduced the microbial core genome as the reference sequence for potential microbes in a metagenomic sample, and we constructed a finite mixture and latent Dirichlet models and used the Gibbs sampling algorithm to estimate the relative abundance of microorganisms. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We apply the Latent Dirichlet Allocation topic modeling technique to extract 25 distinct topics from 14,038 SSCI articles published between 1956 to 2017. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…Fourteen subject areas were identified using the Latent Dirichlet Allocation (LDA) text mining approach. LDA integrated with GIS information allowed to obtain geography distribution and trends of scholarly output, while probabilistic methods of gender identification based on social network data mining were used to track gender dynamics with sufficient confidence. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We propose a hierarchical latent Dirichlet allocation model (HiLDA) for characterizing somatic mutation data in cancer. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…In addition, the same modeling scheme embraces other less common evolutionary laws (Hoppe’s model and Dirichlet processes) as particular cases.…”
Enlace del recurso
Enlace del recurso
Enlace del recurso

“…We test our approach on two models: probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) with Gibbs sampling, and on two datasets in different languages. …”
Enlace del recurso
Enlace del recurso
Enlace del recurso