소장자료
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| 020 | ▼a9783031492990▼9978-3-031-49299-0▲ | ||
| 024 | 7 | ▼a10.1007/978-3-031-49299-0▼2doi▲ | |
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| 245 | 1 | 0 | ▼aInductive Logic Programming▼h[electronic resource] :▼b32nd International Conference, ILP 2023, Bari, Italy, November 13–15, 2023, Proceedings /▼cedited by Elena Bellodi, Francesca Alessandra Lisi, Riccardo Zese.▲ |
| 250 | ▼a1st ed. 2023.▲ | ||
| 264 | 1 | ▼aCham :▼bSpringer Nature Switzerland :▼bImprint: Springer,▼c2023.▲ | |
| 300 | ▼aXVIII, 175 p. 40 illus., 35 illus. in color.▼bonline resource.▲ | ||
| 336 | ▼atext▼btxt▼2rdacontent▲ | ||
| 337 | ▼acomputer▼bc▼2rdamedia▲ | ||
| 338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
| 347 | ▼atext file▼bPDF▼2rda▲ | ||
| 490 | 1 | ▼aLecture Notes in Artificial Intelligence,▼x2945-9141 ;▼v14363▲ | |
| 505 | 0 | ▼aDeclarative 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.▲ | |
| 520 | ▼aThis book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 13–15, 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.▲ | ||
| 650 | 0 | ▼aArtificial intelligence.▲ | |
| 650 | 0 | ▼aComputer engineering.▲ | |
| 650 | 0 | ▼aComputer networks .▲ | |
| 650 | 0 | ▼aCompilers (Computer programs).▲ | |
| 650 | 0 | ▼aComputer science.▲ | |
| 650 | 0 | ▼aMachine theory.▲ | |
| 650 | 1 | 4 | ▼aArtificial Intelligence.▲ |
| 650 | 2 | 4 | ▼aComputer Engineering and Networks.▲ |
| 650 | 2 | 4 | ▼aCompilers and Interpreters.▲ |
| 650 | 2 | 4 | ▼aComputer Science Logic and Foundations of Programming.▲ |
| 650 | 2 | 4 | ▼aFormal Languages and Automata Theory.▲ |
| 700 | 1 | ▼aBellodi, Elena.▼eeditor.▼0(orcid)0000-0002-3717-3779▼1https://orcid.org/0000-0002-3717-3779▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
| 700 | 1 | ▼aLisi, Francesca Alessandra.▼eeditor.▼0(orcid)0000-0001-5414-5844▼1https://orcid.org/0000-0001-5414-5844▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
| 700 | 1 | ▼aZese, Riccardo.▼eeditor.▼0(orcid)0000-0001-8352-6304▼1https://orcid.org/0000-0001-8352-6304▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
| 710 | 2 | ▼aSpringerLink (Online service)▲ | |
| 773 | 0 | ▼tSpringer Nature eBook▲ | |
| 776 | 0 | 8 | ▼iPrinted edition:▼z9783031492983▲ |
| 776 | 0 | 8 | ▼iPrinted edition:▼z9783031493003▲ |
| 830 | 0 | ▼aLecture Notes in Artificial Intelligence,▼x2945-9141 ;▼v14363▲ | |
| 856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-3-031-49299-0▲ |
Inductive Logic Programming[electronic resource] : 32nd International Conference, ILP 2023, Bari, Italy, November 13–15, 2023, Proceedings
자료유형
국외eBook
서명/책임사항
Inductive Logic Programming [electronic resource] : 32nd International Conference, ILP 2023, Bari, Italy, November 13–15, 2023, Proceedings / edited by Elena Bellodi, Francesca Alessandra Lisi, Riccardo Zese.
판사항
1st ed. 2023.
형태사항
XVIII, 175 p. 40 illus., 35 illus. in color. online resource.
총서사항
Lecture Notes in Artificial Intelligence , 2945-9141 ; 14363
Lecture Notes in Artificial Intelligence , 2945-9141 ; 14363
Lecture Notes in Artificial Intelligence , 2945-9141 ; 14363
내용주기
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.
요약주기
This book constitutes the refereed proceedings of the 32nd International Conference on Inductive Logic Programming, ILP 2023, held in Bari, Italy, during November 13–15, 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.
주제
Artificial intelligence.
Computer engineering.
Computer networks .
Compilers (Computer programs).
Computer science.
Machine theory.
Artificial Intelligence.
Computer Engineering and Networks.
Compilers and Interpreters.
Computer Science Logic and Foundations of Programming.
Formal Languages and Automata Theory.
Computer engineering.
Computer networks .
Compilers (Computer programs).
Computer science.
Machine theory.
Artificial Intelligence.
Computer Engineering and Networks.
Compilers and Interpreters.
Computer Science Logic and Foundations of Programming.
Formal Languages and Automata Theory.
ISBN
9783031492990
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