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A Next-Generation of Biomonitoring to Detect Global Ecosystem Change
A Next-Generation of Biomonitoring to Detect Global Ecosystem Change
Autore Andrew Bohan David
Pubbl/distr/stampa Frontiers Media SA, 2020
Descrizione fisica 1 electronic resource (140 p.)
Soggetto topico Science: general issues
Ecological science, the Biosphere
Soggetto non controllato machine learning
ecological interactions
environmental DNA (eDNA)
ecological networks
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557552203321
Andrew Bohan David  
Frontiers Media SA, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Inductive Logic Programming [[electronic resource] ] : 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28–30, 2022, Proceedings / / edited by Stephen H. Muggleton, Alireza Tamaddoni-Nezhad
Inductive Logic Programming [[electronic resource] ] : 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28–30, 2022, Proceedings / / edited by Stephen H. Muggleton, Alireza Tamaddoni-Nezhad
Autore Muggleton Stephen H
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (167 pages)
Disciplina 006.3
Altri autori (Persone) Tamaddoni-NezhadAlireza
Collana Lecture Notes in Artificial Intelligence
Soggetto topico 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
ISBN 3-031-55630-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910845098803321
Muggleton Stephen H  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Inductive Logic Programming [[electronic resource] ] : 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28–30, 2022, Proceedings / / edited by Stephen H. Muggleton, Alireza Tamaddoni-Nezhad
Inductive Logic Programming [[electronic resource] ] : 31st International Conference, ILP 2022, Windsor Great Park, UK, September 28–30, 2022, Proceedings / / edited by Stephen H. Muggleton, Alireza Tamaddoni-Nezhad
Autore Muggleton Stephen H
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (167 pages)
Disciplina 006.3
Altri autori (Persone) Tamaddoni-NezhadAlireza
Collana Lecture Notes in Artificial Intelligence
Soggetto topico 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
ISBN 3-031-55630-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996589545403316
Muggleton Stephen H  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Inductive Logic Programming [[electronic resource] ] : 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 -- August 3, 2011, Revised Selected Papers / / edited by Stephen Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi
Inductive Logic Programming [[electronic resource] ] : 21st International Conference, ILP 2011, Windsor Great Park, UK, July 31 -- August 3, 2011, Revised Selected Papers / / edited by Stephen Muggleton, Alireza Tamaddoni-Nezhad, Francesca A. Lisi
Edizione [1st ed. 2012.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Descrizione fisica 1 online resource (XI, 406 p. 130 illus.)
Disciplina 005.1/15
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Artificial intelligence
Mathematical logic
Computer programming
Computer logic
Computers
Artificial Intelligence
Mathematical Logic and Formal Languages
Programming Techniques
Logics and Meanings of Programs
Computation by Abstract Devices
ISBN 3-642-31951-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Inference and Learning -- Beyond Reward: The Problem of Knowledge and Data -- Exploiting Constraints -- Online Bayesian Inference for the Parameters of PRISM Programs -- Learning Compact Markov Logic Networks with Decision Trees -- Relational Networks of Conditional Preferences -- k-Optimal: A Novel Approximate Inference Algorithm for ProbLog -- Learning Directed Relational Models with Recursive Dependencies -- Integrating Model Checking and Inductive Logic Programming -- Inductive Logic Programming in Answer Set Programming -- Graph-Based Relational Learning with a Polynomial Time Projection Algorithm -- Interleaved Inductive-Abductive Reasoning for Learning Complex Event Models -- Conceptual Clustering of Multi-Relational Data -- Expressive Power of Safe First-Order Logical Decision Trees -- Relational Learning for Spatial Relation Extraction from Natural.
Record Nr. UNISA-996465761303316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Inductive logic programming : 16th international conference, ilp 2006, santiago de compostela, spain, august 24-27, 2006, revised selected papers / / edited by Stephen Muggleton, Ramon Otero, Alireza Tamaddoni-Nezhad
Inductive logic programming : 16th international conference, ilp 2006, santiago de compostela, spain, august 24-27, 2006, revised selected papers / / edited by Stephen Muggleton, Ramon Otero, Alireza Tamaddoni-Nezhad
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, United States : , : Springer, , [2007]
Descrizione fisica 1 online resource (XII, 456 p.)
Disciplina 005.115
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Logic programming
ISBN 3-540-73847-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Actions, Causation and Logic Programming -- Challenges to Machine Learning: Relations Between Reality and Appearance -- First-Order Probabilistic Languages: Into the Unknown -- Integration of Learning and Reasoning Techniques -- Injecting Life with Computers -- Special Issue Extended Abstracts -- On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate -- Revising Probabilistic Prolog Programs -- Inductive Logic Programming for Gene Regulation Prediction -- QG/GA: A Stochastic Search for Progol -- Generalized Ordering-Search for Learning Directed Probabilistic Logical Models -- ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions -- Margin-Based First-Order Rule Learning -- Research Papers -- Extension of the Top-Down Data-Driven Strategy to ILP -- Extracting Requirements from Scenarios with ILP -- Learning Recursive Patterns for Biomedical Information Extraction -- Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks -- Multi-class Prediction Using Stochastic Logic Programs -- Structuring Natural Language Data by Learning Rewriting Rules -- An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification -- Towards Automating Simulation-Based Design Verification Using ILP -- Minimal Distance-Based Generalisation Operators for First-Order Objects -- Efficient and Scalable Induction of Logic Programs Using a Deductive Database System -- Inductive Mercury Programming -- An ILP Refinement Operator for Biological Grammar Learning -- Combining Macro-operators with Control Knowledge -- Frequent Hypergraph Mining -- Induction of Fuzzy and Annotated Logic Programs -- Boosting Descriptive ILP for Predictive Learning in Bioinformatics -- Relational Sequence Alignments and Logos -- On the Missing Link Between Frequent Pattern Discovery and Concept Formation -- Learning Modal Theories -- A Mining Algorithm Using Property Items Extracted from Sampled Examples -- The Complexity of Translating BLPs to RMMs -- Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming -- ILP Through Propositionalization and Stochastic k-Term DNF Learning -- ?-Subsumption Based on Object Context -- Word Sense Disambiguation Using Inductive Logic Programming -- ReMauve: A Relational Model Tree Learner -- Relational Data Mining Applied to Virtual Engineering of Product Designs.
Record Nr. UNINA-9910483505003321
Berlin, Germany ; ; New York, United States : , : Springer, , [2007]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Inductive logic programming : 16th international conference, ilp 2006, santiago de compostela, spain, august 24-27, 2006, revised selected papers / / edited by Stephen Muggleton, Ramon Otero, Alireza Tamaddoni-Nezhad
Inductive logic programming : 16th international conference, ilp 2006, santiago de compostela, spain, august 24-27, 2006, revised selected papers / / edited by Stephen Muggleton, Ramon Otero, Alireza Tamaddoni-Nezhad
Edizione [1st ed. 2007.]
Pubbl/distr/stampa Berlin, Germany ; ; New York, United States : , : Springer, , [2007]
Descrizione fisica 1 online resource (XII, 456 p.)
Disciplina 005.115
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Logic programming
ISBN 3-540-73847-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Invited Papers -- Actions, Causation and Logic Programming -- Challenges to Machine Learning: Relations Between Reality and Appearance -- First-Order Probabilistic Languages: Into the Unknown -- Integration of Learning and Reasoning Techniques -- Injecting Life with Computers -- Special Issue Extended Abstracts -- On the Connection Between the Phase Transition of the Covering Test and the Learning Success Rate -- Revising Probabilistic Prolog Programs -- Inductive Logic Programming for Gene Regulation Prediction -- QG/GA: A Stochastic Search for Progol -- Generalized Ordering-Search for Learning Directed Probabilistic Logical Models -- ALLPAD: Approximate Learning of Logic Programs with Annotated Disjunctions -- Margin-Based First-Order Rule Learning -- Research Papers -- Extension of the Top-Down Data-Driven Strategy to ILP -- Extracting Requirements from Scenarios with ILP -- Learning Recursive Patterns for Biomedical Information Extraction -- Towards Learning Non-recursive LPADs by Transforming Them into Bayesian Networks -- Multi-class Prediction Using Stochastic Logic Programs -- Structuring Natural Language Data by Learning Rewriting Rules -- An Efficient Algorithm for Computing Kernel Function Defined with Anti-unification -- Towards Automating Simulation-Based Design Verification Using ILP -- Minimal Distance-Based Generalisation Operators for First-Order Objects -- Efficient and Scalable Induction of Logic Programs Using a Deductive Database System -- Inductive Mercury Programming -- An ILP Refinement Operator for Biological Grammar Learning -- Combining Macro-operators with Control Knowledge -- Frequent Hypergraph Mining -- Induction of Fuzzy and Annotated Logic Programs -- Boosting Descriptive ILP for Predictive Learning in Bioinformatics -- Relational Sequence Alignments and Logos -- On the Missing Link Between Frequent Pattern Discovery and Concept Formation -- Learning Modal Theories -- A Mining Algorithm Using Property Items Extracted from Sampled Examples -- The Complexity of Translating BLPs to RMMs -- Inferring Regulatory Networks from Time Series Expression Data and Relational Data Via Inductive Logic Programming -- ILP Through Propositionalization and Stochastic k-Term DNF Learning -- ?-Subsumption Based on Object Context -- Word Sense Disambiguation Using Inductive Logic Programming -- ReMauve: A Relational Model Tree Learner -- Relational Data Mining Applied to Virtual Engineering of Product Designs.
Record Nr. UNISA-996466244403316
Berlin, Germany ; ; New York, United States : , : Springer, , [2007]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui