Found 269 Documents (Results 1–100)
Causal deep learning: encouraging impact on real-world problems through causality. (English) Zbl 07907422
PETS: predicting efficiently using temporal symmetries in temporal PGMs. (English) Zbl 07897234
Bouraoui, Zied (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 17th European conference, ECSQARU 2023, Arras, France, September 19–22, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 14294, 322-333 (2024).
MSC:
68T37
Neural graphical models. (English) Zbl 07897232
Bouraoui, Zied (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 17th European conference, ECSQARU 2023, Arras, France, September 19–22, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 14294, 284-307 (2024).
MSC:
68T37
On identifiability of BN2A networks. (English) Zbl 07897221
Bouraoui, Zied (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 17th European conference, ECSQARU 2023, Arras, France, September 19–22, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 14294, 136-148 (2024).
MSC:
68T37
A ring-based distributed algorithm for learning high-dimensional Bayesian networks. (English) Zbl 07897220
Bouraoui, Zied (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 17th European conference, ECSQARU 2023, Arras, France, September 19–22, 2023. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 14294, 123-135 (2024).
MSC:
68T37
Quantified neural Markov logic networks. (English) Zbl 07885920
MSC:
68T37
Efficient computation of counterfactual bounds. (English) Zbl 07885913
MSC:
68T37
Beyond tree-shaped credal probabilistic circuits. (English) Zbl 07885912
MSC:
68T37
Being Bayesian about learning Bayesian networks from ordinal data. (English) Zbl 07885898
MSC:
68T37
Going deep in diagnostic modeling: deep cognitive diagnostic models (DeepCDMs). (English) Zbl 1541.62337
Improvements proposed to noisy-OR derivatives for multi-causal analysis: a case study of simultaneous electromagnetic disturbances. (English) Zbl 07879244
MSC:
68T37
Inversion of Bayesian networks. (English) Zbl 07879233
MSC:
68T37
Decentralized fused-learner architectures for Bayesian reinforcement learning. (English) Zbl 07875638
MSC:
68Txx
From statistical relational to neurosymbolic artificial intelligence: a survey. (English) Zbl 1537.68162
Characterization of causal ancestral graphs for time series with latent confounders. (English) Zbl 1539.62268
Multisets and distributions, in drawing and learning. (English) Zbl 07920702
Palmigiano, Alessandra (ed.) et al., Samson Abramsky on logic and structure in computer science and beyond. Cham: Springer. Outst. Contrib. Log. 25, 1095-1146 (2023).
From statistical to causal learning. (English) Zbl 1535.68277
Beliaev, Dmitry (ed.) et al., International congress of mathematicians 2022, ICM 2022, Helsinki, Finland, virtual, July 6–14, 2022. Volume 7. Sections 15–20. Berlin: European Mathematical Society (EMS). 5540-5593 (2023).
On imperfect recall in multi-agent influence diagrams. (English) Zbl 07810615
Verbrugge, Rineke (ed.), Proceedings of the nineteenth conference on theoretical aspects of rationality and knowledge, TARK, Oxford, United Kingdom, June 28–30, 2023. Waterloo: Open Publishing Association (OPA). Electron. Proc. Theor. Comput. Sci. (EPTCS) 379, 201-220 (2023).
Monitoring of perception systems: deterministic, probabilistic, and learning-based fault detection and identification. (English) Zbl 1530.93308
Approximating counterfactual bounds while fusing observational, biased and randomised data sources. (English) Zbl 1531.68142
Information lattice learning. (English) Zbl 07753318
MSC:
68T05
The dual PC algorithm and the role of Gaussianity for structure learning of Bayesian networks. (English) Zbl 07734025
MSC:
68T37
Being Bayesian about learning Gaussian Bayesian networks from incomplete data. (English) Zbl 07734011
MSC:
68T37
Complexity analysis of Bayesian learning of high-dimensional DAG models and their equivalence classes. (English) Zbl 1539.62148
Bivariate estimation-of-distribution algorithms can find an exponential number of optima. (English) Zbl 07729846
MSC:
68Qxx
Quantum approximate optimization algorithm for Bayesian network structure learning. (English) Zbl 1508.81538
Generative datalog with continuous distributions. (English) Zbl 07860939
MSC:
68-XX
On the foundations of cycles in Bayesian networks. (English) Zbl 1528.68371
Raskin, Jean-François (ed.) et al., Principles of systems design. Essays dedicated to Thomas A. Henzinger on the occasion of his 60th birthday. Cham: Springer. Lect. Notes Comput. Sci. 13660, 343-363 (2022).
Online learning of parameters for modeling user preference based on Bayesian network. (English) Zbl 1504.68220
Strategy graphs for influence diagrams. (English) Zbl 07639819
MSC:
68Txx
A survey on causal discovery: theory and practice. (English) Zbl 07629276
MSC:
68T37
A geometric characterization of sensitivity analysis in monomial models. (English) Zbl 07629274
MSC:
68T37
Counting and sampling orientations on chordal graphs. (English) Zbl 07556584
Mutzel, Petra (ed.) et al., WALCOM: algorithms and computation. 16th international conference and workshops, WALCOM 2022, Jember, Indonesia, March 24–26, 2022. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13174, 352-364 (2022).
MSC:
68Wxx
Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters. (English) Zbl 07554491
MSC:
68T37
Scalable online planning for multi-agent MDPs. (English) Zbl 07527541
MSC:
68Txx
Abduction with probabilistic logic programming under the distribution semantics. (English) Zbl 1533.68031
Conditional sum-product networks: modular probabilistic circuits via gate functions. (English) Zbl 07460580
MSC:
68T37
Strudel: A fast and accurate learner of structured-decomposable probabilistic circuits. (English) Zbl 07460572
MSC:
68T37
Near-optimal learning of tree-structured distributions by Chow-Liu. (English) Zbl 07765160
Khuller, Samir (ed.) et al., Proceedings of the 53rd annual ACM SIGACT symposium on theory of computing, STOC ’21, virtual, Italy, June 21–25, 2021. New York, NY: Association for Computing Machinery (ACM). 147-160 (2021).
Jointly modeling and simultaneously discovering topics and clusters in text corpora using word vectors. (English) Zbl 07763273
Learning physical properties of anomalous random walks using graph neural networks. (English) Zbl 1519.82048
Double generative adversarial networks for conditional independence testing. (English) Zbl 07626800
MSC:
68T05
Learning Bayesian networks from ordinal data. (English) Zbl 07626781
MSC:
68T05
Learning Laplacian matrix from graph signals with sparse spectral representation. (English) Zbl 07626710
MSC:
68T05
Optimized realization of Bayesian networks in reduced normal form using latent variable model. (English) Zbl 07619710
MSC:
68T05
A new score for adaptive tests in Bayesian and credal networks. (English) Zbl 07542357
Vejnarová, Jiřina (ed.) et al., Symbolic and quantitative approaches to reasoning with uncertainty. 16th European conference, ECSQARU 2021, Prague, Czech Republic, September 21–24, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12897, 399-412 (2021).
MSC:
68T37
Model checking finite-horizon Markov chains with probabilistic inference. (English) Zbl 1493.68210
Silva, Alexandra (ed.) et al., Computer aided verification. 33rd international conference, CAV 2021, virtual event, July 20–23, 2021. Proceedings. Part II. Cham: Springer. Lect. Notes Comput. Sci. 12760, 577-601 (2021).
Testing conditional independence in supervised learning algorithms. (English) Zbl 07465666
MSC:
68T05
A constraint-based algorithm for the structural learning of continuous-time Bayesian networks. (English) Zbl 1521.68113
Beyond covariance: SICE and kernel based visual feature representation. (English) Zbl 1483.68454
MSC:
68T45
An integrated approach to solving influence diagrams and finite-horizon partially observable decision processes. (English) Zbl 1519.68233
Spatiotemporal adaptive neural network for long-term forecasting of financial time series. (English) Zbl 1519.68213
Bayesian strategies: probabilistic programs as generalised graphical models. (English) Zbl 1473.68054
Yoshida, Nobuko (ed.), Programming languages and systems. 30th European symposium on programming, ESOP 2021, held as part of the European joint conferences on theory and practice of software, ETAPS 2021, Luxembourg City, Luxembourg, March 27 – April 1, 2021. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12648, 519-547 (2021).
Characterizing marginalization and incremental operations on the Bayes tree. (English) Zbl 1469.68123
Lavalle, Steven M. (ed.) et al., Algorithmic foundations of robotics XIV. Proceedings of the fourteenth workshop on the algorithmic foundations of robotics. Cham: Springer. Springer Proc. Adv. Robot. 17, 227-242 (2021).
MSC:
68T40
Pruning external minimality checking for answer set programs using semantic dependencies. (English) Zbl 1504.68216
A sufficient statistic for influence in structured multiagent environments. (English) Zbl 1512.68390
Languages for probabilistic modeling over structured and relational domains. (English) Zbl 07910877
Marquis, Pierre (ed.) et al., A guided tour of artificial intelligence research. Volume II. AI algorithms. Cham: Springer. 247-283 (2020).
Compact representation of preferences. (English) Zbl 07910842
Marquis, Pierre (ed.) et al., A guided tour of artificial intelligence research. Volume I. Knowledge representation, reasoning and learning. Cham: Springer. 217-252 (2020).
Learning probabilistic logic programs over continuous data. (English) Zbl 1511.68232
Kazakov, Dimitar (ed.) et al., Inductive logic programming. 29th international conference, ILP 2019, Plovdiv, Bulgaria, September 3–5, 2019. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 11770, 129-144 (2020).
A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model. (English) Zbl 1510.62065
Mixing of Markov chains for independent sets on chordal graphs with bounded separators. (English) Zbl 07336143
Kim, Donghyun (ed.) et al., Computing and combinatorics. 26th international conference, COCOON 2020, Atlanta, GA, USA, August 29–31, 2020. Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 12273, 664-676 (2020).
MSC:
68Rxx
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