Search Results - (((((((ant OR find) OR semantics) OR carter) OR cantor) OR anne) OR maarten) OR mantis) algorithms.

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  1. 241

    Emerging engineering approaches and applications : selected, peer reviewed papers from the 2011 International Conference on Information Engineering for Mechanics and Materials, Aug...

    Published 2011
    Table of Contents: “…A Hierarchical Structure of Service-Oriented Manufacturing ModeStudy of Combination Algorithm in Partitioning Manufacture Technology; The Machinability of MAR-M247 Superalloy; Chapter 3: Computational Methods for Engineering; The BP Network Classification Leafminer-Infected Leaves Based on the Fractal Dimension; An Evaluation Survey of Score Normalization in Multibiometric Systems; Non-Line-of-Sight Error Mitigation in Wireless Communication Systems; Information Delay Protocol Using Non-Orthogonal Quantum States; A New Algorithm of Image Encryption Based on 3D Arnold Cat…”
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    Electronic Conference Proceeding eBook
  2. 242

    Social sensing : building reliable systems on unreliable data by Wang, Dong, Abdelzaher, Tarek, Kaplan, Lance

    Published 2015
    Table of Contents: “…4.3.2 Source Credibility4.4 The Iterative Algorithm; 4.5 Examples and Results; 4.6 Discussion; Appendix; Chapter 5: Social Sensing: A maximum likelihood estimation approach; 5.1 The Social Sensing Problem; 5.2 Expectation Maximization; 5.2.1 Background; 5.2.2 Mathematical Formulation; 5.2.3 Deriving the E-Step and M-Step; 5.3 The EM Fact-Finding Algorithm; 5.4 Examples and Results; 5.4.1 A Simulation Study; 5.4.2 A Geotagging Case Study; 5.4.3 A Real World Application; 5.5 Discussion; Chapter 6: Confidence bounds in social sensing; 6.1 The Reliability Assurance Problem.…”
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  3. 243

    HTML5 Multimedia Development Cookbook. by Cruse, Dale

    Published 2011
    Table of Contents: “…; How it works ... ; There's more ... ; Validation as an aid, not a crutch; Eric Meyer's funny; Where to find validators; See also.…”
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  4. 244

    STAIRS 2010 : Proceedings of the Fifth Starting AI Researchers' Symposium. by Ågotnes, Thomas

    Published 2010
    Table of Contents: “…; Generative Structure Learning for Markov Logic Networks; Learning Fuzzy Models of User Interests in a Semantic Information Retrieval System; Ontology-Based Document and Query Representation May Improve the Effectiveness of Information Retrieval.…”
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  5. 245

    Fuzzy neural network theory and application by Liu, Puyin

    Published 2004
    Table of Contents: “…4.2.2 Calculus of V -- / functions4.2.3 Error function; 4.2.4 Partial derivatives of error function; 4.2.5 Learning algorithm and simulation; S4.3 Conjugate gradient algorithm for fuzzy weights; 4.3.1 Fuzzy CG algorithm and convergence; 4.3.2 GA for finding optimal learning constant; 4.3.3 Simulation examples; S4.4 Universal approximation to fuzzy valued functions; 4.4.1 Fuzzy valued Bernstein polynomial; 4.4.2 Four-layer regular feedforward FNN; 4.4.3 An example; S4.5 Approximation analysis of regular FNN; 4.5.1 Closure fuzzy mapping; 4.5.2 Learning algorithm.…”
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  6. 246

    Communicating process architectures 2009 : WoTUG-32

    Published 2009
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  7. 247
  8. 248

    Discrete Mathematics for Computer Science : An Example-Based Introduction. by Fortney, Jon Pierre

    Published 2021
    Table of Contents: “…Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- CHAPTER 1: Introduction to Algorithms -- 1.1. WHAT ARE ALGORITHMS? -- 1.2. CONTROL STRUCTURES -- 1.3. …”
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  9. 249

    Machine learning for the web by Isoni, Andrea

    Published 2016
    Table of Contents: “…Multinomial Naive BayesGaussian Naive Bayes; Decision trees; Support vector machine; Kernel trick; A comparison of methods; Regression problem; Classification problem; Hidden Markov model; A Python example; Summary; Web Mining Techniques; Web structure mining; Web crawlers (or spiders); Indexer; Ranking -- PageRank algorithm; Web content mining; Parsing; Natural language processing; Information retrieval models; TF-IDF; Latent Semantic Analysis (LSA); Doc2Vec (word2vec); Word2vec -- continuous bag of words and skip-gram architectures; Mathematical description of the CBOW model.…”
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  10. 250

    Advances in digital technologies : proceedings of the 6th International Conference on Applications of Digital Information and Web Technologies 2015

    Published 2015
    Table of Contents: “…Application of Genetic Algorithms to Context-Sensitive Text MiningA Decision Tree Classification Model for Determining the Location for Solar Power Plant; A Framework for Multi-Label Learning Using Label Ranking and Correlation; A Comparative Analysis of Pruning Methods for C4.5 and Fuzzy C4.5; Subject Index; Author Index.…”
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    Electronic Conference Proceeding eBook
  11. 251
  12. 252
  13. 253

    Advanced Artificial Intelligence.

    Published 2011
    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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  14. 254

    Bioinformatics and Functional Genomics. by Pevsner, Jonathan

    Published 2015
    Table of Contents: “…BLAST SEARCH STRATEGIES -- USING BLAST FOR GENE DISCOVERY: FIND-A-GENE -- PERSPECTIVE -- PITFALLS -- ADVICE FOR STUDENTS -- WEB RESOURCES -- DISCUSSION QUESTIONS -- SELF-TEST QUIZ -- SUGGESTED READING -- REFERENCES -- CHAPTER 5 Advanced Database Searching -- INTRODUCTION -- SPECIALIZED BLAST SITES -- FINDING DISTANTLY RELATED PROTEINS: POSITION-SPECIFIC ITERATED BLAST (PSI-BLAST) AND DELTA-BLAST -- PROFILE SEARCHES: HIDDEN MARKOV MODELS -- BLAST-LIKE ALIGNMENT TOOLS TO SEARCH GENOMIC DNA RAPIDLY -- ALIGNING NEXT-GENERATION SEQUENCE (NGS) READS TO A REFERENCE GENOME -- PERSPECTIVE -- PITFALLS…”
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  15. 255

    Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

    Published 2018
    Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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  16. 256

    Optimization advances in electric power systems

    Published 2008
    Table of Contents: “…Unreliability Costs -- 3.5. Proposed Algorithms -- 3.5.1. ES and TS Algorithms -- 3.5.2. …”
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  17. 257

    Internet+ and electronic business in China : innovation and applications

    Published 2018
    Table of Contents: “…Emotional analysis of online reviews on e-business platforms -- Chapter 14. Semantic search of online reviews on e-business platforms -- Part IV. …”
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  18. 258

    Advanced Methods and Technologies for Agent and Multi-Agent Systems. by Edited by

    Published 2013
    Table of Contents: “…""Role and Member Selection in Team Formation Using Resource Estimation""""Incorporating Explicit Coordination Mechanisms by Agents to Obtain Green Waves""; ""Communication Leading to Coalition Nash Equilibrium I""; ""Agent-Based Optimization""; ""An Agent-Based Cooperative Population Learning Algorithm for Vehicle Routing Problem with Time Windows""; ""Mobile Agent-based Dynamic Resource Allocation Method for Query Optimization in Data Grid Systems""; ""Memetic Multi-Agent Computing in Difficult Continuous Optimisation""; ""Web Services and Semantic Web""…”
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  19. 259

    Learning-based local visual representation and indexing by Rongrong, Ji, Yao, Hongxun, Gao, Yue, Duan, Ling-Yu, Dai, Qionghai

    Published 2014
    Table of Contents: “…3.4.1 Cross-database Case3.4.2 Incremental Transfer; 3.5 Experiments; 3.5.1 Quantitative results; 3.6 Summary; Chapter 4: Supervised Dictionary Learning via Semantic Embedding ; 4.1 Introduction; 4.2 Semantic Labeling Propagation; 4.2.1 Density Diversity Estimation ; 4.3 Supervised Dictionary Learning; 4.3.1 Generative Modeling ; 4.3.2 Supervised Quantization ; 4.4 Experiments; 4.4.1 Database and Evaluations; 4.4.2 Quantitative Results; 4.5 Summary; Chapter 5: Visual Pattern Mining; 5.1 Introduction; 5.2 Discriminative 3D Pattern Mining; 5.2.1 The Proposed Mining Scheme.…”
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  20. 260

    OpenCV Android Programming By Example. by Muhammad, Amgad

    Published 2015
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