The following pages link to (Q3510469):
Displaying 50 items.
- Lifted generative learning of Markov logic networks (Q285935) (← links)
- \(T_{\mathcal{P}}\)-compilation for inference in probabilistic logic programs (Q324656) (← links)
- Exploiting symmetries for scaling loopy belief propagation and relational training (Q374162) (← links)
- Leveraging social media networks for classification (Q408668) (← links)
- Mining the semantic web statistical learning for next generation knowledge bases (Q408710) (← links)
- Stochastic relational processes: efficient inference and applications (Q413831) (← links)
- Decision-theoretic planning with generalized first-order decision diagrams (Q420812) (← links)
- Reference classes and relational learning (Q432965) (← links)
- ILP turns 20. Biography and future challenges (Q439010) (← links)
- Gradient-based boosting for statistical relational learning: the relational dependency network case (Q439014) (← links)
- Applying the information bottleneck to statistical relational learning (Q439020) (← links)
- kLog: a language for logical and relational learning with kernels (Q464624) (← links)
- Type extension trees for feature construction and learning in relational domains (Q490428) (← links)
- An overview of algorithmic approaches to compute optimum entropy distributions in the expert system shell MECore (extended version) (Q507545) (← links)
- Introduction to the special issue on combining constraint solving with mining and learning (Q511749) (← links)
- Structured learning modulo theories (Q511777) (← links)
- Relational linear programming (Q511779) (← links)
- An experience in using machine learning for short-term predictions in smart transportation systems (Q511935) (← links)
- ERBlox: combining matching dependencies with machine learning for entity resolution (Q518610) (← links)
- On the complexity of propositional and relational credal networks (Q518627) (← links)
- Optimal experimental design for a class of bandit problems (Q618180) (← links)
- How cognitive modeling can benefit from hierarchical Bayesian models (Q631933) (← links)
- A tutorial on Bayes factor estimation with the product space method (Q645486) (← links)
- PRM inference using Jaffray \& Faÿ's local conditioning (Q649983) (← links)
- Learning relational dependency networks in hybrid domains (Q747248) (← links)
- Learning first-order probabilistic models with combining rules (Q841645) (← links)
- A mathematical view of weights-of-evidence, conditional independence, and logistic regression in terms of Markov random fields (Q887579) (← links)
- Gradient-based boosting for statistical relational learning: the Markov logic network and missing data cases (Q894696) (← links)
- A new probabilistic constraint logic programming language based on a generalised distribution semantics (Q896427) (← links)
- Estimating time-varying networks (Q977626) (← links)
- Ranking relations using analogies in biological and information networks (Q993237) (← links)
- Compressing probabilistic Prolog programs (Q1009237) (← links)
- Learning to assign degrees of belief in relational domains (Q1009279) (← links)
- Learning probabilistic logic models from probabilistic examples (Q1009281) (← links)
- Structured machine learning: the next ten years (Q1009285) (← links)
- A Bayesian analysis of human decision-making on bandit problems (Q1042313) (← links)
- Individual-level social influence identification in social media: a learning-simulation coordinated method (Q1631522) (← links)
- Approximate classification with web ontologies through evidential terminological trees and forests (Q1687300) (← links)
- An expressive dissimilarity measure for relational clustering using neighbourhood trees (Q1698849) (← links)
- kProbLog: an algebraic Prolog for machine learning (Q1699913) (← links)
- Soft quantification in statistical relational learning (Q1699917) (← links)
- The complexity of Bayesian networks specified by propositional and relational languages (Q1711881) (← links)
- Hybrid Gaussian-cubic radial basis functions for scattered data interpolation (Q1715359) (← links)
- Graph sampling with applications to estimating the number of pattern embeddings and the parameters of a statistical relational model (Q1741393) (← links)
- Actively learning to infer social ties (Q1944988) (← links)
- Learning directed relational models with recursive dependencies (Q1945140) (← links)
- Estimating networks with jumps (Q1950892) (← links)
- Structured probabilistic inference (Q1951286) (← links)
- Combining instance-based learning and logistic regression for multilabel classification (Q1959507) (← links)
- Piecewise training for structured prediction (Q1959525) (← links)
