Pages that link to "Item:Q2805145"

The following pages link to Statistical Relational Artificial Intelligence: Logic, Probability, and Computation (Q2805145):

Displaying 31 items.

• Stochastic relational processes: efficient inference and applications (Q413831) (← links)
• kProbLog: an algebraic Prolog for machine learning (Q1699913) (← links)
• A comparison of statistical relational learning and graph neural networks for aggregate graph queries (Q2071328) (← links)
• Lifted model checking for relational MDPs (Q2102421) (← links)
• Inductive logic programming at 30 (Q2127222) (← links)
• The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference (Q2206456) (← links)
• Conditional probability logic, lifted Bayesian networks, and almost sure quantifier elimination (Q2215958) (← links)
• Structure learning for relational logistic regression: an ensemble approach (Q2238344) (← links)
• Neural probabilistic logic programming in DeepProbLog (Q2238688) (← links)
• A general approach to reasoning with probabilities (Q2283285) (← links)
• Non-parametric learning of lifted restricted Boltzmann machines (Q2310287) (← links)
• Online probabilistic theory revision from examples with ProPPR (Q2425252) (← links)
• Logic, Probability and Computation: Foundations and Issues of Statistical Relational AI (Q3003238) (← links)
• An integrated development environment for probabilistic relational reasoning (Q3165886) (← links)
• Knowledge Graph Completion via Complex Tensor Factorization (Q4637058) (← links)
• (Q4969121) (← links)
• Learning Probabilistic Logic Programs over Continuous Data (Q5041772) (← links)
• (Q5078314) (← links)
• (Q5094118) (← links)
• Algorithmic Learning Theory (Q5464511) (← links)
• Fifty Years of Prolog and Beyond (Q6063890) (← links)
• Asymptotic elimination of partially continuous aggregation functions in directed graphical models (Q6116192) (← links)
• A landscape and implementation framework for probabilistic rough sets using \textsc{ProbLog} (Q6149551) (← links)
• \(\alpha\)ILP: thinking visual scenes as differentiable logic programs (Q6161205) (← links)
• Non-parametric learning of embeddings for relational data using Gaifman locality theorem (Q6166549) (← links)
• From statistical relational to neurosymbolic artificial intelligence: a survey (Q6494348) (← links)
• Excursions in first-order logic and probability: infinitely many random variables, continuous distributions, recursive programs and beyond (Q6545516) (← links)
• Generative Datalog with continuous distributions (Q6551262) (← links)
• The generalised distribution semantics and projective families of distributions (Q6561344) (← links)
• Synergies between machine learning and reasoning -- an introduction by the Kay R. Amel group (Q6577680) (← links)
• Declarative probabilistic logic programming in discrete-continuous domains (Q6665698) (← links)