01128cam2 22002771 450 SOBE0001797120111114150100.020110922d1841 |||||ita|0103 baitalatIT<<3,2: >>De universi juris uno principio et fine uno liber unusDe constantia jurisprudentis liber altercon la versione italiana [di] Errico AmanteNapolipresso Giuseppe Jovene Libraio Editore18412 v. in 122 cm001SOBE000179592001 Opere di Giambattista VicoVico, GiambattistaAF00006785070151876Amante, ErricoSOBA00001009070ITUNISOB20111114RICAUNISOBUNISOB09078575SOBE00017971M 102 Monografia moderna SBNM090000639Consultabile previa autorizzazioneNO78575bethbUNISOBUNISOB20110922134838.020110922134917.0bethbDe constantia jurisprudentis liber alter1654028De universi juris uno principio et fine uno liber unus1721589UNISOB05597nam 22007575 450 991048319740332120251226203346.010.1007/11536314(CKB)1000000000213169(SSID)ssj0000318229(PQKBManifestationID)11266627(PQKBTitleCode)TC0000318229(PQKBWorkID)10307959(PQKB)11301281(DE-He213)978-3-540-31851-4(MiAaPQ)EBC3067577(PPN)123096596(EXLCZ)99100000000021316920100721d2005 u| 0engurnn#008mamaatxtccrInductive Logic Programming 15th International Conference, ILP 2005, Bonn, Germany, August 10-13, 2005, Proceedings /edited by Stefan Kramer, Bernhard Pfahringer1st ed. 2005.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2005.1 online resource (XIV, 434 p.)Lecture Notes in Artificial Intelligence,2945-9141 ;3625Bibliographic Level Mode of Issuance: MonographPrinted edition: 9783540281771 Includes bibliographical references and index.Research Papers -- An Output-Polynomial Time Algorithm for Mining Frequent Closed Attribute Trees -- Guiding Inference Through Relational Reinforcement Learning -- Converting Semantic Meta-knowledge into Inductive Bias -- Learning Teleoreactive Logic Programs from Problem Solving -- A Framework for Set-Oriented Computation in Inductive Logic Programming and Its Application in Generalizing Inverse Entailment -- Distance Based Generalisation -- Automatic Induction of Abduction and Abstraction Theories from Observations -- Logical Bayesian Networks and Their Relation to Other Probabilistic Logical Models -- Strategies to Parallelize ILP Systems -- Inducing Causal Laws by Regular Inference -- Online Closure-Based Learning of Relational Theories -- Learning Closed Sets of Labeled Graphs for Chemical Applications -- ILP Meets Knowledge Engineering: A Case Study -- Spatial Clustering of Structured Objects -- Generalization Behaviour of Alkemic Decision Trees -- Predicate Selection for Structural Decision Trees -- Induction of the Indirect Effects of Actions by Monotonic Methods -- Probabilistic First-Order Theory Revision from Examples -- Inductive Equivalence of Logic Programs -- Deriving a Stationary Dynamic Bayesian Network from a Logic Program with Recursive Loops -- A Study of Applying Dimensionality Reduction to Restrict the Size of a Hypothesis Space -- Polynomial Time Inductive Inference of TTSP Graph Languages from Positive Data -- Classifying Relational Data with Neural Networks -- Efficient Sampling in Relational Feature Spaces -- Invited Papers -- Why Computers Need to Learn About Music -- Tutorial on Statistical Relational Learning -- Machine Learning for Systems Biology -- Five Problems in Five Areas for Five Years.1 “Change is inevitable.” Embracing this quote we have tried to carefully exp- iment with the format of this conference, the 15th International Conference on Inductive Logic Programming, hopefully making it even better than it already was. But it will be up to you, the inquisitive reader of this book, to judge our success. The major changes comprised broadening the scope of the conference to include more diverse forms of non-propositional learning, to once again have tutorials on exciting new areas, and, for the ?rst time, to also have a discovery challenge as a platform for collaborative work. This year the conference was co-located with ICML 2005, the 22nd Inter- tional Conference on Machine Learning, and also in close proximity to IJCAI 2005, the 19th International Joint Conference on Arti?cial Intelligence. - location can be tricky, but we greatly bene?ted from the local support provided by Codrina Lauth, Michael May, and others. We were also able to invite all ILP and ICML participants to shared events including a poster session, an invited talk, and a tutorial about the exciting new area of “statistical relational lea- ing”. Two more invited talks were exclusively given to ILP participants and were presented as a kind of stock-taking—?ttingly so for the 15th event in a series—but also tried to provide a recipe for future endeavours.Lecture Notes in Artificial Intelligence,2945-9141 ;3625Software engineeringArtificial intelligenceComputer programmingMachine theoryAlgorithmsSoftware EngineeringArtificial IntelligenceProgramming TechniquesFormal Languages and Automata TheoryAlgorithmsSoftware engineering.Artificial intelligence.Computer programming.Machine theory.Algorithms.Software Engineering.Artificial Intelligence.Programming Techniques.Formal Languages and Automata Theory.Algorithms.005.1/15Kramer StefanProf. Dr.894236Pfahringer Bernhard1758420ILP (Conference)MiAaPQMiAaPQMiAaPQBOOK9910483197403321Inductive logic programming4196618UNINA