Cover Image

Scalable Bayesian Clustering for Integrative Analysis of Multi-View Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Cabral, Rafael, de Iorio, Maria, Harris, Andrew
Format:	Preprint
Published:	2024
Subjects:	Methodology Computation 62F15, 62H30, 68T05, 62P25 G.3; I.5.3; I.5.1; I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Measures of Overlapping Multivariate Gaussian Clusters in Unsupervised Online Learning
by: Ožbot, Miha, et al.
Published: (2025)

Enhanced Single-Cell RNA-seq Embedding through Gene Expression and Data-Driven Gene-Gene Interaction Integration
by: Goudarzi, Hojjat Torabi, et al.
Published: (2025)

Data-Driven Discovery of Feature Groups in Clinical Time Series
by: Sergeev, Fedor, et al.
Published: (2025)

Proximity Measure of Information Object Features for Solving the Problem of Their Identification in Information Systems
by: Yuzefovych, Volodymyr
Published: (2026)

CSTS: A Benchmark for the Discovery of Correlation Structures in Time Series Clustering
by: Degen, Isabella, et al.
Published: (2025)

Augmented Functional Random Forests: Classifier Construction and Unbiased Functional Principal Components Importance through Ad-Hoc Conditional Permutations
by: Maturo, Fabrizio, et al.
Published: (2024)

Robust Probabilistic Load Forecasting for a Single Household: A Comparative Study from SARIMA to Transformers on the REFIT Dataset
by: Manoj, Midhun
Published: (2025)

DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning
by: Tirumala, Aditya Puttaparthi
Published: (2025)

MRMS-Net and LMRMS-Net: Scalable Multi-Representation Multi-Scale Networks for Time Series Classification
by: Alagöz, Celal, et al.
Published: (2026)

Evaluating the Quality of the Quantified Uncertainty for (Re)Calibration of Data-Driven Regression Models
by: Wibbeke, Jelke, et al.
Published: (2025)

A Hybrid Mixture Approach for Clustering and Characterizing Cancer Data
by: Kareem, Kazeem, et al.
Published: (2025)

Evaluation of the number of clusters in a data set using $p$-values from Multiple Tests of Hypotheses
by: Modak, Soumita
Published: (2026)

A Multi-scale Fused Graph Neural Network with Inter-view Contrastive Learning for Spatial Transcriptomics Data Clustering
by: Mei, Jianping, et al.
Published: (2025)

Non-Heuristic Selection via Hybrid Regularized and Machine Learning Models for Insurance
by: Galvão, Luciano Ribeiro, et al.
Published: (2025)

Ranking of Multi-Response Experiment Treatments
by: Pebes-Trujillo, Miguel R., et al.
Published: (2024)

GT-PCA: Effective and Interpretable Dimensionality Reduction with General Transform-Invariant Principal Component Analysis
by: Heinrichs, Florian
Published: (2024)

A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification
by: Ojeda, Sebastian, et al.
Published: (2025)

Calibrated Counterfactual Conformal Fairness ($C^3F$): Post-hoc, Shift-Aware Coverage Parity via Conformal Prediction and Counterfactual Regularization
by: Alpay, Faruk, et al.
Published: (2025)

Enhancing Visual Interpretability and Explainability in Functional Survival Trees and Forests
by: Loffredo, Giuseppe, et al.
Published: (2025)

SplitWise Regression: Stepwise Modeling with Adaptive Dummy Encoding
by: Kurbucz, Marcell T., et al.
Published: (2025)

Exploring Hierarchical Classification Performance for Time Series Data: Dissimilarity Measures and Classifier Comparisons
by: Alagoz, Celal
Published: (2024)

Perception-Aware Bias Detection for Query Suggestions
by: Haak, Fabian, et al.
Published: (2026)

TimeGraph: Synthetic Benchmark Datasets for Robust Time-Series Causal Discovery
by: Ferdous, Muhammad Hasan, et al.
Published: (2025)

Conservative Decisions with Risk Scores
by: Wei, Yishu, et al.
Published: (2025)

Iterative Exploration-Driven Sparse SDP Clustering via Thompson Sampling
by: Mun, Jongmin, et al.
Published: (2025)

Predicting Traffic Accident Severity with Deep Neural Networks
by: Bibb, Meghan, et al.
Published: (2025)

A Hybrid Mixture of $t$-Factor Analyzers for Clustering High-dimensional Data
by: Kareem, Kazeem, et al.
Published: (2025)

Multi-layered model-based characterisation of the local-Universe galaxy data from the GAMA survey
by: Dai, Fan, et al.
Published: (2026)

Emerging-properties Mapping Using Spatial Embedding Statistics: EMUSES
by: Foulon, Chris, et al.
Published: (2024)

Geometric Mixture Classifier (GMC): A Discriminative Per-Class Mixture of Hyperplanes
by: K, Prasanth K, et al.
Published: (2025)

Physics-informed machine learning: A mathematical framework with applications to time series forecasting
by: Doumèche, Nathan
Published: (2025)

Demystifying Functional Random Forests: Novel Explainability Tools for Model Transparency in High-Dimensional Spaces
by: Maturo, Fabrizio, et al.
Published: (2024)

Absolute indices for determining compactness, separability and number of clusters
by: Bagirov, Adil M., et al.
Published: (2025)

Latent characterisation of the complete BATSE gamma ray bursts catalogue using Gaussian mixture of factor analysers and model-estimated overlap-based syncytial clustering
by: Dai, Fan, et al.
Published: (2026)

Lightweight Defense Against Adversarial Attacks in Time Series Classification
by: Han, Yi
Published: (2025)

Intra-tree Column Subsampling Hinders XGBoost Learning of Ratio-like Interactions
by: Pinchuk, Mykola
Published: (2026)

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
by: Manokhin, Valery, et al.
Published: (2026)

Tensor Neyman-Pearson Classification: Theory, Algorithms, and Error Control
by: Liu, Lingchong, et al.
Published: (2025)

ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks
by: Luo, Yiran, et al.
Published: (2025)

Integration of Structural Equation Modeling and Bayesian Networks in the Context of Causal Inference: A Case Study on Personal Positive Youth Development
by: Benitez, Edgar, et al.
Published: (2024)