Description
Book Synopsis.- Bayesian Networks.
.- Inverse Marginalisation for Safely Expanding Bayesian Networks.
.- Classifying Control Room Operators’ Performance Using Bayesian Networks.
.- Wrong Data Detection in Electricity Grids Using Bayesian Networks.
.- Maximum Entropy-based Quantification for Probability Elicitation in Bayesian Networks.
.- Involving Uncertainty in Bayesian Network Tuning.
.- Learning and Probability.
.- Discrete Minimax Probabilistic Classifier Chains for Multi-Label Classification Under Label Imbalance.
.- Noise-Robust Weighted Logistic Regression Based on Outlier Detection with Expectation Maximization.
.- From RBMs to BN2A models: Parameter Transformation for Interpretable Educational Diagnostics.
.- Denoising the Future: Top-p Distributions for Moving Through Time.
.- Distortions of lower probabilities as a tool for avoiding conflict.
.- Analogical proportions between probabilities.
.- Robust Explanations: The Case of Prime Implicants.
.- Consensus in Motion: A Case of Dynamic Rationality of Sequential Learning in Probability Aggregation.
.- Arithmetic Circuit Compilation using Symbolic Probabilistic Inference and Indicator-Determined Buckets.
.- Game Theory and Social Choice.
.- Counting Agents in Partially Observable Stochastic Games.
.- Expected Shapley Value is Shapley Value for Expected Utility Game.
.- Upper Expected Meeting Times for Interdependent Stochastic Agents.
.- Elicit and Weigh: A Voting-Based Approach to Optimal Weights in Imprecise Linear Pooling.
.- Conditionals, Inference, Change.
.- Gärdenfors’s Supplementary Postulates for Partial Product Contractions.
.- Explaining Changes in Total Preorders and Ranking Functions.
.- Implementing Lexicographic Inference Using Partial MaxSAT.
.- Conditional Logics of Nondeterministic Change.
.- Towards an algebraic and probabilistic setting for iterated Boolean conditionals.
.- On measuring the possibility of selection-function based conditionals, general updates, and qualitative capacities.
.- Possibilistic logic and inference for linear systems.
.- Argumentation.
.- Assumption-Based Argumentation for General Extended Disjunctive Logic Programming with Negation as Failure in the Head.
.- Winning by Numbers: Connecting Strong Admissibility to Optimal Play in Argumentation.
.- First steps towards forgetting in ASPIC+.
.- Strong Admissibility and Infinite Argumentation Frameworks.
.- Recognizing the Impact among Relevant Elements for Reaching Stability in Incomplete Argumentation Frameworks.
.- Logic and Inconsistency.
.- Privacy-Preserving Inconsistency Measurement.
.- Using Sentence Embeddings to Identify Conflicts in Propositional Logic.
.- Dynamic Logic for Quantum Probability.
.- A Kripke Semantics for Monadic BL Chains.
