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1. |
Record Nr. |
UNINA9910707285603321 |
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Titolo |
The impacts of climate change on human health in the United States : a scientific assessment, executive summary / / U.S. Global Change Research Program |
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Pubbl/distr/stampa |
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Washington, DC : , : U.S Global Change Research Program, , 2016 |
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Descrizione fisica |
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1 online resource (23 pages) : color illustrations |
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Soggetti |
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Climatic changes - United States |
Human beings - Effect of climate on - United States |
Climatic changes - Health aspects - United States |
Global warming - Health aspects - United States |
Climatic changes - Risk assessment - United States |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Title from title screen (viewed June 1, 2016). |
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Nota di bibliografia |
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Includes bibliographical references (page 23). |
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2. |
Record Nr. |
UNISA996574257803316 |
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Titolo |
Inductive Logic Programming : 32nd International Conference, ILP 2023, Bari, Italy, November 13-15, 2023, Proceedings / / Elena Bellodi, Francesca Alessandra Lisi, and Riccardo Zese, editors |
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Pubbl/distr/stampa |
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Cham, Switzerland : , : Springer, , [2023] |
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©2023 |
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ISBN |
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Edizione |
[First edition.] |
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Descrizione fisica |
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1 online resource (XVIII, 175 p. 40 illus., 35 illus. in color.) |
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Collana |
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Lecture Notes in Computer Science Series ; ; Volume 14363 |
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Disciplina |
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Soggetti |
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Logic programming |
Machine learning |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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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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