Pages that link to "Item:Q3575744"

The following pages link to Markov Logic: An Interface Layer for Artificial Intelligence (Q3575744):

Displaying 25 items.

• Gradient-based boosting for statistical relational learning: the relational dependency network case (Q439014) (← links)
• An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version) (Q507545) (← links)
• Scalable learning and inference in Markov logic networks (Q511628) (← links)
• Regression learning based on incomplete relationships between attributes (Q781025) (← links)
• Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases (Q894696) (← links)
• Uncertain logic processing: logic-based inference and reasoning using Dempster-Shafer models (Q1642751) (← links)
• PR-OWL - a language for defining probabilistic ontologies (Q1679648) (← links)
• Model-based exception mining for object-relational data (Q1987183) (← links)
• A taxonomy of weight learning methods for statistical relational learning (Q2102343) (← links)
• Some thoughts on knowledge-enhanced machine learning (Q2237522) (← links)
• Structure learning for relational logistic regression: an ensemble approach (Q2238344) (← links)
• Neural probabilistic logic programming in DeepProbLog (Q2238688) (← links)
• Modelling relational statistics with Bayes nets (Q2251452) (← links)
• A general approach to reasoning with probabilities (Q2283285) (← links)
• Probabilistic sentence satisfiability: an approach to PSAT (Q2287193) (← links)
• Lifted graphical models: a survey (Q2347709) (← links)
• Distributional logic programming for Bayesian knowledge representation (Q2374510) (← links)
• Fast learning of relational dependency networks (Q2630823) (← links)
• Logic explained networks (Q2680793) (← links)
• Probabilistic Event Calculus for Event Recognition (Q2946767) (← links)
• (Q4637032) (← links)
• Uncertainty Quantification for Markov Random Fields (Q5158928) (← links)
• Probabilistic Reasoning in the Description Logic $$\mathcal {ALCP}$$ with the Principle of Maximum Entropy (Q5268422) (← links)
• Generative Datalog and answer set programming (extended abstract) (Q6545514) (← links)
• Languages for probabilistic modeling over structured and relational domains (Q6602256) (← links)