000 | 07767nam a22005175i 4500 | ||
---|---|---|---|
001 | 978-3-540-75256-1 | ||
003 | DE-He213 | ||
005 | 20240423125957.0 | ||
007 | cr nn 008mamaa | ||
008 | 100301s2007 gw | s |||| 0|eng d | ||
020 |
_a9783540752561 _9978-3-540-75256-1 |
||
024 | 7 |
_a10.1007/978-3-540-75256-1 _2doi |
|
050 | 4 | _aQ334-342 | |
050 | 4 | _aTA347.A78 | |
072 | 7 |
_aUYQ _2bicssc |
|
072 | 7 |
_aCOM004000 _2bisacsh |
|
072 | 7 |
_aUYQ _2thema |
|
082 | 0 | 4 |
_a006.3 _223 |
245 | 1 | 0 |
_aSymbolic and Quantitative Approaches to Reasoning with Uncertainty _h[electronic resource] : _b9th European Conference, ECSQARU 2007, Hammamet, Tunisia, October 31 - November 2, 2007, Proceedings / _cedited by Khaled Mellouli. |
250 | _a1st ed. 2007. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2007. |
|
300 |
_aXV, 916 p. _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 ; _v4724 |
|
505 | 0 | _aInvited Talks -- Pattern Recognition and Information Fusion Using Belief Functions: Some Recent Developments -- Causality and Dynamics of Beliefs in Qualitative Uncertainty Frameworks -- Elements of Argumentation -- Causal Networks -- Causal Graphical Models with Latent Variables: Learning and Inference -- Learning Causal Bayesian Networks from Incomplete Observational Data and Interventions -- Belief Revision and Inconsistency Handling -- Measuring Inconsistency for Description Logics Based on Paraconsistent Semantics -- On the Dynamics of Total Preorders: Revising Abstract Interval Orders -- Approaches to Constructing a Stratified Merged Knowledge Base -- Syntactic Propositional Belief Bases Fusion with Removed Sets -- COBA 2.0: A Consistency-Based Belief Change System -- An Algorithm for Computing Inconsistency Measurement by Paraconsistent Semantics -- How Dirty Is Your Relational Database? An Axiomatic Approach -- Logics Under Uncertainty -- A Top-Down Query Answering Procedure for Normal Logic Programs Under the Any-World Assumption -- Measure Logic -- Weak Implication in Terms of Conditional Uncertainty Measures -- Language Invariance and Spectrum Exchangeability in Inductive Logic -- Best Approximation of Ruspini Partitions in Gödel Logic -- A Logical Approach to Qualitative and Quantitative Reasoning -- Description Logic Programs Under Probabilistic Uncertainty and Fuzzy Vagueness -- From DEL to EDL: Exploring the Power of Converse Events -- Argumentation Systems -- Comparing Argumentation Semantics with Respect to Skepticism -- An Algorithm for Computing Semi-stable Semantics -- The Logical Handling of Threats, Rewards, Tips, and Warnings -- On the Acceptability of Incompatible Arguments -- Handling Ignorance in Argumentation: Semantics of Partial Argumentation Frameworks -- DialecticalProof Theories for the Credulous Prudent Preferred Semantics of Argumentation -- Towards an Extensible Argumentation System -- Dialectical Explanations in Defeasible Argumentation -- Arguing over Actions That Involve Multiple Criteria: A Critical Review -- Belief Functions -- Shared Ordered Binary Decision Diagrams for Dempster-Shafer Theory -- Cautious Conjunctive Merging of Belief Functions -- Consonant Belief Function Induced by a Confidence Set of Pignistic Probabilities -- On the Orthogonal Projection of a Belief Function -- On Latent Belief Structures -- The DSm Approach as a Special Case of the Dempster-Shafer Theory -- Interpreting Belief Functions as Dirichlet Distributions -- Forward-Backward-Viterbi Procedures in the Transferable Belief Model for State Sequence Analysis Using Belief Functions -- Uncertainty in Semantic Ontology Mapping: An Evidential Approach -- Learning and Classification -- Measures of Ruleset Quality Capable to Represent Uncertain Validity -- A Discriminative Learning Method of TAN Classifier -- Discriminative vs. Generative Learning of Bayesian Network Classifiers -- PADUA Protocol: Strategies and Tactics -- A Semi-naive Bayes Classifier with Grouping of Cases -- Split Criterions for Variable Selection Using Decision Trees -- Inference and Learning in Multi-dimensional Bayesian Network Classifiers -- Combining Decision Trees Based on Imprecise Probabilities and Uncertainty Measures -- Belief Classification Approach Based on Generalized Credal EM -- Bayesian Networks and Probabilistic Reasoning -- Logical Compilation of Bayesian Networks with Discrete Variables -- Local Monotonicity in Probabilistic Networks -- Independence Decomposition in Dynamic Bayesian Networks -- Average and Majority Gates: Combining Information by Means of Bayesian Networks -- A Fast Hill-Climbing Algorithm for Bayesian Networks Structure Learning -- On Directed and Undirected Propagation Algorithms for Bayesian Networks -- Reasoning About Preferences -- Lexicographic Refinements of Sugeno Integrals -- Algebraic Structures for Bipolar Constraint-Based Reasoning -- A Revised Qualitative Choice Logic for Handling Prioritized Preferences -- An Abstract Theory of Argumentation That Accommodates Defeasible Reasoning About Preferences -- Relaxing Ceteris Paribus Preferences with Partially Ordered Priorities -- Reasoning and Decision Making Under Uncertainty -- Conceptual Uncertainty and Reasoning Tools -- Reasoning with an Incomplete Information Exchange Policy -- Qualitative Constraint Enforcement in Advanced Policy Specification -- A Qualitative Hidden Markov Model for Spatio-temporal Reasoning -- A Multiobjective Resource-Constrained Project-Scheduling Problem -- Game Theory -- Extending Classical Planning to the Multi-agent Case: A Game-Theoretic Approach -- Dependencies Between Players in Boolean Games -- Fuzzy Sets and Fuzzy Logic -- The Use of Fuzzy t-Conorm Integral for Combining Classifiers -- Integrated Query Answering with Weighted Fuzzy Rules -- On Decision Support Under Risk by the WOWA Optimization -- Transposing the Sociology of Organized Action into a Fuzzy Environment -- Possibility Theory -- An Axiomatization of Conditional Possibilistic Preference Functionals -- Conflict Analysis and Merging Operators Selection in Possibility Theory -- Extending Description Logics with Uncertainty Reasoning in Possibilistic Logic -- Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information -- Applications -- Measuring the Quality of Health-Care Services: A Likelihood-Based Fuzzy Modeling Approach -- Automatic Indexing from a Thesaurus Using Bayesian Networks: Application to the Classification of Parliamentary Initiatives -- A Genetic Programming Classifier Design Approach for Cell Images -- Use of Radio Frequency Identification for Targeted Advertising: A Collaborative Filtering Approach Using Bayesian Networks -- Development of an Intelligent Assessment System for Solo Taxonomies Using Fuzzy Logic. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aMachine theory. | |
650 | 1 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aFormal Languages and Automata Theory. |
700 | 1 |
_aMellouli, Khaled. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540752554 |
776 | 0 | 8 |
_iPrinted edition: _z9783540844358 |
830 | 0 |
_aLecture Notes in Artificial Intelligence, _x2945-9141 ; _v4724 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-540-75256-1 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-SXCS | ||
912 | _aZDB-2-LNC | ||
942 | _cSPRINGER | ||
999 |
_c183721 _d183721 |