Papers
2,605 papers found
Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data
Clavier Pierre, Bouaziz Olivier, Nuel Gregory
Lifted Query Answering in Gaussian Bayesian Networks
Mattis Hartwig, Ralf Möller
Bayesian Network Model Averaging Classifiers by Subbagging
Shouta Sugahara, Itsuki Aomi, Maomi Ueno
Missing Values in Multiple Joint Inference of Gaussian Graphical Models
Veronica Tozzo, Davide Garbarino, Annalisa Barla
Online Updating of Conditional Linear Gaussian Bayesian Networks
Anders L Madsen, Kristian G Olesen, Frank Jensen et al.
Model inclusion lattice of coloured Gaussian graphical models for paired data
Alberto Roverato, Dung Ngoc Nguyen
Scalable Bayesian Network Structure Learning with Splines
Charupriya Sharma, Peter van Beek
On Correlating Sonar Images
Richard J. Rikoski, J. Tory Cobb, Daniel C. Brown
Gaussian Processes for Signal Strength-Based Location Estimation
B. Ferris, D. Haehnel, D. Fox
Gaussian Beam Processes: A Nonparametric Bayesian Measurement Model for Range Finders
Christian Plagemann, Kristian Kersting, Patrick Pfaff et al.
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models
Cyrill Stachniss, Christian Plagemann, Achim Lilienthal et al.
Learning GP-BayesFilters via Gaussian process latent variable models
J. Ko and D. Fox
Real-Time Inverse Dynamics Learning for Musculoskeletal Robots based on Echo State Gaussian Process Regression
Christoph Hartmann, Joschka Boedecker, Oliver Obst et al.
Distributed Approximation of Joint Measurement Distributions Using Mixtures of Gaussians
Brian Julian, Stephen Smith, Daniela Rus
The Banana Distribution is Gaussian: A Localization Study with Exponential Coordinates
Andrew Long, Kevin Wolfe, Michael Mashner et al.
Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System
Jie Chen, Kian Hsiang Low, Colin Keng-Yan Tan
Batch Continuous-Time Trajectory Estimation as Exactly Sparse Gaussian Process Regression
Tim Barfoot, Chi Hay Tong, Simo Sarkka
Modeling High-Dimensional Humans for Activity Anticipation using Gaussian Process Latent CRFs
Yun Jiang, Ashutosh Saxena
A New Perspective and Extension of the Gaussian Filter
Manuel Wuthrich, Sebastian Trimpe, Daniel Kappler et al.
Tracking Attracting Lagrangian Coherent Structures in Flows
Dhanushka Kularatne, Ani Hsieh
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs
Jing Dong, Mustafa Mukadam, Frank Dellaert et al.
Real-Time Information-Theoretic Exploration with Gaussian Mixture Model Maps
Wennie Tabib, Kshitij Goel, John Yao et al.
Active Preference-Based Gaussian Process Regression for Reward Learning
Erdem Biyik, Nicolas Huynh, Mykel Kochenderfer et al.
Manipulation with Shared Grasping
Yifan Hou, Zhenzhong Jia, Matthew Mason
Autonomous Navigation, Mapping and Exploration with Gaussian Processes
Mahmoud Ali, Hassan Jardali, Nicholas Roy et al.