Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A Comparative Review of Dimension Reduction Methods in Approximate Bayesian Computation
Approximate Bayesian Computation (ABC) in practice
Manifold Elastic Net: A Unified Framework for Sparse Dimension Reduction
An Adaptive Subsampling Approach for MCMC Inference in Large Datasets
1 Spectral Methods for Dimensionality Reduction
An Introduction to Dimensionality Reduction Using Matlab
STUDY ON DIMENSIONALITY REDUCTION TECHNIQUES AND APPLICATIONS
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Analysis and extension of spectral methods for nonlinear dimensionality reduction
EM Algorithms for PCA and SPCA
Global Versus Local Methods in Nonlinear Dimensionality Reduction
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction
Sparse principal component analysis via regularized low rank matrix approximation
Supervised dimensionality reduction using mixture models
Bayesian maximum margin principal component analysis
Gaussian Processes Autoencoder for Dimensionality Reduction
A Linear Approximation Method for Probabilistic Inference
Adaptive dimension reduction for clustering high dimensional data
practical considerations for dimensionality reduction : user guidance , costly distances , and document data .
Debiasing Evidence Approximations: On Importance-weighted Autoencoders and Jackknife Variational Inference
High-Dimensional Bayesian Clustering with Variable Selection: The R Package bclust
A SURVEY OF UNDERWATER VEHICLE NAVIGATION: RECENT ADVANCES AND NEW CHALLENGES
Population growth of human Y chromosomes : a study of Y chromosome microsatellites
Classification of Intrusion Detection Dataset using machine learning Approaches
solving problems with semidefinite and related constraints using interior - point methods for nonlinear programming .
semantics in visual information retrieval .