Inductive Logic Programming: Lecture Notes in Computer Science, cartea 14363
Editat de Elena Bellodi, Francesca Alessandra Lisi, Riccardo Zeseen Limba Engleză Paperback – 22 dec 2023
The 11 full papers and 1 short paper included in this book were carefully reviewed and selected from 18 submissions. They cover all aspects of learning in logic, multi-relational data mining, statistical relational learning, graph and tree mining, learning in other (non-propositional) logic-based knowledge representation frameworks, exploring intersections to statistical learning and other probabilistic approaches.
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Specificații
ISBN-13: 9783031492983
ISBN-10: 3031492986
Pagini: 196
Ilustrații: XVIII, 175 p. 40 illus., 35 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.31 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
ISBN-10: 3031492986
Pagini: 196
Ilustrații: XVIII, 175 p. 40 illus., 35 illus. in color.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.31 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science
Locul publicării:Cham, Switzerland
Cuprins
Declarative Sequential Pattern Mining in ASP.- Extracting Rules from ML models in Angluin’s Style.- A Constrained Optimization Approach to Set the Parameters of Probabilistic Answer Set Programs.- Regularization in Probabilistic Inductive Logic Programming.- Towards ILP-based LTLf passive learning.- Learning Strategies of Inductive Logic Programming Using Reinforcement Learning.- Select first, transfer later: choosing proper datasets for statistical relational transfer learning.- GNN based Extraction of Minimal Unsatisfiable Subsets.- What Do Counterfactuals Say about the World? Reconstructing Probabilistic Logic Programs from Answers to “What if?” Queries.- Few-shot learning of diagnostic rules for neurodegenerative diseases using Inductive Logic Programming.- An Experimental Overview of Neural-Symbolic Systems.- Statistical relational structure learning with scaled weight parameters.- A Review of Inductive Logic Programming Applications for Robotic Systems.- Meta Interpretive Learning from Fractal images.