Search Results - (((((((ant OR wanti) OR semantic) OR kind) OR cantor) OR anne) OR shared) OR hints) algorithms.

Artificial intelligence : approaches, tools, and applications

Table of Contents: “…EVOLUTIONARY COMPUTING ; 2.1. Genetic Algorithms ; 2.2. Mechanism of a Genetic Algorithm ; 3. …”
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Cybernetic intelligent systems

Table of Contents: “…Cover ; Editorial advisory board ; Editorial ; Guest editorial ; HDR imaging for feature tracking in challenging visibility scenes ; A new classification strategy for human activity recognition using cost sensitive support vector machines for imbalanced data ; Coarticulation and speech synchronization in MPEG-4 based facial animation ; Semantic Category theory and Semantic Intertwine: the anathema of mathematics ; Tracking progress of African Peer Review Mechanism (APRM) using fuzzy comprehensive evaluation method.…”
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Text mining : applications and theory

Table of Contents: “…Automatic Keyword Extraction from Individual Documents / Stuart Rose, Dave Engel, Nick Cramer, Wendy Cowley -- Algebraic Techniques for Multilingual Document Clustering / Brett W Bader, Peter A Chew -- Content-Based Spam Email Classification using Machine-Learning Algorithms / Eric P Jiang -- Utilizing Nonnegative Matrix Factorization for Email Classification Problems / Andreas G K Janecek, Wilfried N Gansterer -- Constrained Clustering with -means Type Algorithms / Ziqiu Su, Jacob Kogan, Charles Nicholas -- Anomaly and Trend Detection. …”
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Advances in scalable web information integration and service : proceedings of DASFAA2007, Bangkok, Thailand, 9-12 April 2007

Table of Contents: “…Invited session. Using semantics in XML data management / Tok Wang Ling and Gillian Dobbie. …”
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Information modelling and knowledge bases XXX

Table of Contents: “…Intro; Title Page; Preface; Committees; Contents; Goal-Oriented Adaptive and Extensible Study-Process Creation with Optimal Cyclic-Learning in Graph-Structured Knowledge; A Process Calculus for Design and Modeling of Retro-Synthesis; The Discrete-Event Approach to Simulate Stochastic Multi-Product (r, Q) Inventory Control Systems; A Semantic Orthogonal Mapping Method Through Deep-Learning for Semantic Computing; Cultures in Information Systems Development; Clutter Reduction in Parallel Coordinates Using Aesthetic Criteria; Toward Manageable Data Sources…”
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Metaheuristics for intelligent electrical networks by Héliodore, Frédéric, Nakib, Amir, Ismail, Boussaad, Ouchraa, Salma, Schmitt, Laurent

Table of Contents: “…2.2.1. Genetic algorithms2.2.2. Evolution strategies; 2.2.3. Coevolutionary algorithms; 2.2.4. …”
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Advanced Printing and Packaging Materials and Technologies

Table of Contents: “…Research on Multi-Color Separation Model Based on Polynomial Regression; Accuracy Comparison of Application of Two Kinds of Cellular Neugebauer Models on Multicolor Separation; A Color Management Solution for Mobile Terminal Based on ICC Mechanism; A Scan-Digitizing Algorithm of the Printed Original Based on Use of Near-Neutral Scales; A LCD Color Calibration Model Based on Gamut-Division Algorithm; Research on Color Reproduction on the Internet Based on Profile Embedding; A Gamut Compression Algorithm Based on the Image Spatial Characteristics.…”
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Introduction to identity-based encryption by Martin, Luther

Table of Contents: “…Introduction -- Basic mathematical concepts and properties -- Properties of elliptic curves -- Divisors and the Tate pairing -- Cryptography and computational complexity -- Related cryptographic algorithms -- The Cocks IBE scheme -- Boneh-Franklin IBE -- Boneh-Boyen IBE -- Sakai-Kasahara IBE -- Hierarchial IBE and master secret sharing -- Calculating pairings.…”
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Advanced Artificial Intelligence.

Table of Contents: “…Applications of temporal and spatial logic; 4.7.4. Randell algorithm; Exercises; Chapter 5 Case-Based Reasoning; 5.1 Overview; 5.2 Basic Notations; 5.3 Process Model; 5.4 Case Representation; 5.4.1 Semantic Memory Unit; 5.4.2 Memory Network; 5.5 Case Indexing; 5.6 Case Retrieval; 5.7 Similarity Relations in CBR; 5.7.1 Semantic similarity; 5.7.2 Structural similarity; 5.7.3 Goal's features; 5.7.4 Individual similarity; 5.7.5 Similarity assessment; 5.8 Case Reuse; 5.9 Case Retainion; 5.10 Instance-Based Learning.…”
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Global Navigation Satellite System (GNSS) Receivers for Weak Signals. by Ziedan, Nesreen

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Overlay networks : toward information networking by Tarkoma, Sasu

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FRBR, before and after : a look at our bibliographic models by Coyle, Karen

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Papers from the first European Workshop on Technological & Security Issues in Digital Rights Management (EuDiRights '06)

Table of Contents: “…Cover; CONTENTS; EDITORIAL ADVISORY BOARD; The digital information war; Complementing DRM with digital watermarking: mark, search, retrieve; A class of non-linear asymptotic fingerprinting codes with 1-error; Verification algorithms for governed use of multimedia content; Toward semantics-aware management of intellectual property rights; DRM, law and technology: an American perspective; Clustering search results. …”
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What Every Teacher Should Know About Effective Teaching Strategies. by Tileston, Donna E. Walker

Table of Contents: “…-- Why the Way We Teach is Important -- The Linguistic Modality -- The Nonlinguistic Modality -- The Affective Modality -- Semantic Memory -- Episodic Memory -- Procedural Memory -- Automatic Memory -- Emotional Memory -- Chapter 2 -- Choosing Effective Teaching Strategies for Beginning Activities -- Great Beginnings -- The Self-System…”
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New autonomous systems by Cardon, Alain, 1946-, Itmi, Mhamed

Table of Contents: “…Intro -- Table of Contents -- Title -- Copyright -- Introduction -- List of Algorithms -- 1 Systems and their Design -- 1.1. Modeling systems -- 1.2. …”
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3D Shape Analysis : Fundamentals, Theory and Applications. by Tabia, Hedi

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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Theory of information : fundamentality, diversity and unification by Burgin, M. S. (Mark Semenovich)

Table of Contents: “…Algorithmic information theory based on recursive algorithms : recursive approach. 5.3. …”
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Domain Decomposition Methods in Science and Engineering. by Quarteroni, Alfio

Table of Contents: “…Domain decomposition and multilevel PCG method for solving 3-D fourth order problemsSome two-grid finite element methods; Contributed Lectures; Interface conditions for a kind of non linear elliptic-hyperbolic problems; A domain decomposition for the transport equation; Hybrid domain decomposition with unstructured subdomains; Some Schwarz algorithms for the p-version finite element method; On the robustness and efficiency of the fully adaptive multigrid method; Finite volume variational formulation. …”
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OIPE 2012

Table of Contents: “…N-level output space mapping for electromagnetic design optimizationHigh-speed functionality optimization of five-phase PM machine using third harmonic current; Topology optimization of magnetostatic shielding using multistep evolutionary algorithms with additional searches in a restricted design space ; Adaptive unscented transform for uncertainty quantification in EMC large-scale systems; Ant colony optimization for the topological design of interior permanent magnet (IPM)machines; Multiobjective approach developed for optimizing the dynamic behavior of incremental linear actuators.…”
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Data Analytics in Bioinformatics : A Machine Learning Perspective. by Satpathy, Rabinarayan

Table of Contents: “…3.4.1 Comparative Analysis of ANN With Broadly Used Traditional ML Algorithms -- 3.5 Critical Analysis -- 3.6 Conclusion -- References -- Part 2: MACHINE LEARNING AND GENOMIC TECHNOLOGY, FEATURE SELECTION AND DIMENSIONALITY REDUCTION -- 4 Dimensionality Reduction Techniques: Principles, Benefits, and Limitations -- 4.1 Introduction -- 4.2 The Benefits and Limitations of Dimension Reduction Methods -- 4.3 Components of Dimension Reduction -- 4.3.1 Feature Selection -- 4.3.2 Feature Reduction -- 4.4 Methods of Dimensionality Reduction -- 4.4.1 Principal Component Analysis (PCA)…”
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