Pages that link to "Item:Q2473927"

The following pages link to Probabilistic inductive logic programming. Theory and applications (Q2473927):

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)
• Mining the semantic web statistical learning for next generation knowledge bases (Q408710) (← links)
• Stochastic relational processes: efficient inference and applications (Q413831) (← links)
• ILP turns 20. Biography and future challenges (Q439010) (← links)
• Bridging logic and kernel machines (Q439018) (← 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)
• Semantic-based regularization for learning and inference (Q511774) (← links)
• Relational linear programming (Q511779) (← links)
• Learning probabilistic logic models from probabilistic examples (Q1009281) (← links)
• Approximate classification with web ontologies through evidential terminological trees and forests (Q1687300) (← links)
• Fast learning of relational kernels (Q1959554) (← links)
• Speeding up parameter and rule learning for acyclic probabilistic logic programs (Q1999576) (← links)
• Inductive learning of answer set programs for autonomous surgical task planning. Application to a training task for surgeons (Q2071318) (← links)
• Abduction with probabilistic logic programming under the distribution semantics (Q2076968) (← 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)
• Special issue on probabilistic logic programming (PLP 2018) (Q2237158) (← links)
• Some thoughts on knowledge-enhanced machine learning (Q2237522) (← links)
• The finite model theory of Bayesian network specifications: descriptive complexity and zero/one laws (Q2283277) (← links)
• Lifted graphical models: a survey (Q2347709) (← links)
• A survey of lifted inference approaches for probabilistic logic programming under the distribution semantics (Q2374532) (← links)
• The effect of combination functions on the complexity of relational Bayesian networks (Q2409113) (← links)
• Probabilistic logic programming for hybrid relational domains (Q2630824) (← links)
• Lifted Variable Elimination for Probabilistic Logic Programming (Q2931273) (← links)
• Infinite probability computation by cyclic explanation graphs (Q2933089) (← links)
• ProbLog Technology for Inference in a Probabilistic First Order Logic (Q2999210) (← links)
• On the implementation of the probabilistic logic programming language ProbLog (Q3008407) (← links)
• Discriminative Structure Learning of Markov Logic Networks (Q3543270) (← links)
• (Q4413483) (← links)
• Introduction to the special issue on probability, logic and learning (Q4592975) (← links)
• Viterbi training in PRISM (Q4592976) (← links)
• Structure learning of probabilistic logic programs by searching the clause space (Q4592977) (← links)
• Inference and learning in probabilistic logic programs using weighted Boolean formulas (Q4592983) (← links)
• Preprocessing for Optimization of Probabilistic-Logic Models for Sequence Analysis (Q4649725) (← links)
• Optimizing Probabilities in Probabilistic Logic Programs (Q5019596) (← links)
• (Q5078314) (← links)
• MAP Inference for Probabilistic Logic Programming (Q5140005) (← links)
• (Q5149237) (← links)
• (Q5233781) (← links)
• Foundations of Support Constraint Machines (Q5380205) (← links)
• (Q5389820) (← links)
• Learning with Kernels and Logical Representations (Q5452070) (← links)
• Logic Programming and Nonmonotonic Reasoning (Q5473985) (← links)
• Inductive Logic Programming (Q5897187) (← links)
• Probabilistic inductive inference: A survey (Q5941566) (← links)
• \(\alpha\)ILP: thinking visual scenes as differentiable logic programs (Q6161205) (← links)