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Inference in Hybrid Networks: Theoretical Limits and Practical
  Algorithms

Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms

Conference on Uncertainty in Artificial Intelligence (UAI), 2001
10 January 2013
U. Lerner
Ronald E. Parr
    BDLUQCV
ArXiv (abs)PDFHTML

Papers citing "Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms"

13 / 13 papers shown
$χ$SPN: Characteristic Interventional Sum-Product Networks for Causal
  Inference in Hybrid Domains
χχχSPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid DomainsConference on Uncertainty in Artificial Intelligence (UAI), 2024
Harsh Poonia
Moritz Willig
Zhongjie Yu
Matej Zečević
Kristian Kersting
Devendra Singh Dhami
TPMCML
340
4
0
14 Aug 2024
Unbiased Learning of Deep Generative Models with Structured Discrete
  Representations
Unbiased Learning of Deep Generative Models with Structured Discrete RepresentationsNeural Information Processing Systems (NeurIPS), 2023
H. Bendekgey
Gabriel Hope
Erik B. Sudderth
OCLBDLDRL
229
1
0
14 Jun 2023
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in
  Hybrid Bayesian Networks
Gaussian Mixture Reduction for Time-Constrained Approximate Inference in Hybrid Bayesian Networks
C. Park
Kathryn B. Laskey
Paulo C. G. Costa
Shou Matsumoto
BDL
165
2
0
06 Jun 2018
Efficient Online Learning for Optimizing Value of Information: Theory
  and Application to Interactive Troubleshooting
Efficient Online Learning for Optimizing Value of Information: Theory and Application to Interactive Troubleshooting
Yuxin Chen
J. Renders
M. Chehreghani
Andreas Krause
273
14
0
16 Mar 2017
Discriminative Switching Linear Dynamical Systems applied to
  Physiological Condition Monitoring
Discriminative Switching Linear Dynamical Systems applied to Physiological Condition Monitoring
K. Georgatzis
Christopher K. I. Williams
113
6
0
24 Apr 2015
Optimal Value of Information in Graphical Models
Optimal Value of Information in Graphical ModelsJournal of Artificial Intelligence Research (JAIR), 2009
Andreas Krause
Carlos Guestrin
232
128
0
15 Jan 2014
Exact Inference in Networks with Discrete Children of Continuous Parents
Exact Inference in Networks with Discrete Children of Continuous ParentsConference on Uncertainty in Artificial Intelligence (UAI), 2001
U. Lerner
E. Segal
D. Koller
237
82
0
10 Jan 2013
Inference with Seperately Specified Sets of Probabilities in Credal
  Networks
Inference with Seperately Specified Sets of Probabilities in Credal Networks
J. C. F. D. Rocha
Fabio Gagliardi Cozman
GNN
318
44
0
12 Dec 2012
Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net
Monitoring a Complez Physical System using a Hybrid Dynamic Bayes Net
U. Lerner
B. Moses
Maricia Scott
Sheila A. McIlraith
D. Koller
224
61
0
12 Dec 2012
Expectation Propogation for approximate inference in dynamic Bayesian
  networks
Expectation Propogation for approximate inference in dynamic Bayesian networks
Tom Heskes
O. Zoeter
216
128
0
12 Dec 2012
Inference in Hybrid Bayesian Networks Using Mixtures of Gaussians
Inference in Hybrid Bayesian Networks Using Mixtures of GaussiansConference on Uncertainty in Artificial Intelligence (UAI), 2006
Prakash P. Shenoy
BDL
222
58
0
27 Jun 2012
Lifted Inference for Relational Continuous Models
Lifted Inference for Relational Continuous Models
Jaesik Choi
Eyal Amir
David J. Hill
266
54
0
15 Mar 2012
Substructure and Boundary Modeling for Continuous Action Recognition
Substructure and Boundary Modeling for Continuous Action Recognition
Zhaowen Wang
Jinjun Wang
Jing Xiao
Kai-Hsiang Lin
Thomas Huang
204
39
0
09 Mar 2012
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