Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
On sequential Monte Carlo sampling methods for Bayesian filtering
A Bayesian Filtering Algorithm for Gaussian Mixture Models
Adapting the Sample Size in Particle Filters Through KLD-Sampling
An MCMC-based Particle Filter for Tracking Multiple Interacting Targets
Particle belief propagation
Implementation of the Daum-Huang exact-flow particle filter
Subspace Hierarchical Particle Filter
Time-varying dynamic bayesian networks
Dynamic Bayesian Networks: Representation, Inference and Learning
Finding Optimal Bayesian Networks
Learning Bayesian networks: approaches and issues
Efficient Bayesian network modeling of systems
The Unscented Particle Filter
Efficient Subjective Bayesian network belief propagation for trees
Beyond the Kalman Filter: Particle Filters for Tracking Applications
Testing Bayesian Networks
Recursive Noise Adaptive Kalman Filtering by Variational Bayesian Approximations
A simple approach to Bayesian network computations
sigma - point kalman filters for probabilistic inference in dynamic state - space models .
Learning Optimal Bayesian Networks: A Shortest Path Perspective
Graph-Based Algorithms for Boolean Function Manipulation
Colposcopic genital findings in prepubertal girls assessed for sexual abuse.
Chemical Pressure-Driven Enhancement of the Hydrogen Evolving Activity of Ni2P from Nonmetal Surface Doping Interpreted via Machine Learning
The Novel Features for Phishing Based on User Device Detection
Steroid hormones in biosolids and poultry litter: a comparison of potential environmental inputs.