Search Results - (((((((ant OR wantsi) OR semantic) OR when) OR cantor) OR anne) OR shape) OR hints) algorithms.

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    Obstetric clinical algorithms : management and evidence

    Published 2010
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    Semantic matchmaking with nonmonotonic description logics by Grimm, Stephan

    Published 2009
    Table of Contents: “…Nonmonotonic Reasoning in the Semantic WebNonmonotonic Description Logics; Autoepistemic Description Logics; Formal Semantics for Autoepistemic DLs; Reasoning with Epistemic Operators; Circumscriptive Description Logics; Formal Semantics for Circumscriptive DLs; Reasoning with Circumscribed Knowledge Bases; Terminological Defaults; Discussion; A Reasoning Algorithm for Circumscriptive Description Logics; Principle Idea of a Tableaux Extension; Extending DL Tableaux Calculi by Preference Clashes; Restrictions on the Formalism; Deciding Circumscriptive ALCO…”
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    Pattern Recognition. by Theodoridis, Sergios

    Published 2008
    Table of Contents: “…Chapter 13 Clustering Algorithms II: Hierarchical AlgorithmsChapter 14 Clustering Algorithms III: Schemes Based on Function Optimization; Chapter 15 Clustering Algorithms IV; Chapter 16 Cluster Validity; Appendix A Hints from Probability and Statistics; Appendix B Linear Algebra Basics; Appendix C Cost Function Optimization; Appendix D Basic Definitions from Linear Systems Theory; Index.…”
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    Scalable algorithms for contact problems by Dostál, Zdeněk, Kozubek, Tomáš, 1975-, Sadowská, Marie, Vonk, Vít

    Published 2016
    Table of Contents: “…Optimal QP and QCQP Algorithms -- 5. Conjugate Gradients -- 6. Gradient Projection for Separable Convex Sets -- 7. …”
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    Optimization in Engineering Sciences : Exact Methods. by Borne, Pierre

    Published 2013
    Table of Contents: “…Lagrange method; 1.4. Simplex algorithm; 1.4.1. Principle; 1.4.2. Simplicial form formulation; 1.4.3. …”
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    Graph algorithms and applications 3

    Published 2004
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    Algorithmics of matching under preferences by Manlove, David F.

    Published 2013
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    Data management in the semantic web

    Published 2011
    Table of Contents: “…Skolem Noise and Poor Representation ; 3.2. A Special Case: Semantic Mobile Web 2.0 ; 4. When Is an Ontology Robust? …”
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    Metaheuristic optimization for the design of automatic control laws by Sandou, Guillaume

    Published 2013
    Table of Contents: “…Ant colony optimization…”
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    Optimization of Computer Networks : Modeling and Algorithms: a Hands-On Approach. by Pavón Mariño, Pablo

    Published 2016
    Table of Contents: “…7.1 Introduction -- 7.2 Node Location Problems -- 7.3 Full Topology Design Problems -- 7.4 Multilayer Network Design -- 7.5 Notes and Sources -- 7.6 Exercises -- References -- Part Two: Algorithms -- Chapter 8: Gradient Algorithms in Network Design -- 8.1 Introduction -- 8.2 Convergence Rates -- 8.3 Projected Gradient Methods -- 8.4 Asynchronous and Distributed Algorithm Implementations -- 8.5 Non-Smooth Functions -- 8.6 Stochastic Gradient Methods -- 8.7 Stopping Criteria -- 8.8 Algorithm Design Hints -- 8.9 Notes and Sources -- 8.10 Exercises -- References…”
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    Learning OWL class expressions by Lehmann, Jens, 1982-

    Published 2010
    Table of Contents: “…Refinement Operator Based OWL Learning Algorithms; OCEL (OWL Class Expression Learner); Redundancy Elimination; Creating a Full Learning Algorithm; ELTL (EL Tree Learner)…”
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    Nearest-neighbor methods in learning and vision : theory and practice

    Published 2005
    Table of Contents: “…Clarkson -- Locality-sensitive hashing using stable distributions / Alexandr Andoni [and others] -- New algorithms for efficient high-dimensional nonparametric classification / Ting Liu, Andrew W. …”
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    3D Shape Analysis : Fundamentals, Theory and Applications. by Tabia, Hedi

    Published 2018
    Table of Contents: “…7.2 Problem Formulation7.3 Mathematical Tools; 7.4 Isometric Correspondence and Registration; 7.5 Nonisometric (Elastic) Correspondence and Registration; 7.6 Summary and Further Reading; 8 Semantic Correspondences; 8.1 Introduction; 8.2 Mathematical Formulation; 8.3 Graph Representation; 8.4 Energy Functions for Semantic Labeling; 8.5 Semantic Labeling; 8.6 Examples; 8.7 Summary and Further Reading; Part IV: Applications; 9 Examples of 3D Semantic Applications; 9.1 Introduction; 9.2 Semantics: Shape or Status; 9.3 Semantics: Class or Identity; 9.4 Semantics: Behavior; 9.5 Semantics: Position…”
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    Applications of multi-objective evolutionary algorithms

    Published 2004
    Table of Contents: “…Non-Dominated Sorting Evolution Strategy Algorithm (NSESA)3.3. Case Studies; 3.3.1. Shape Design of a Shielded Reactor; 3.3.2. …”
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