Keywords:
Artificial intelligence--Congresses.
;
Electronic books.
Type of Medium:
Online Resource
Pages:
1 online resource (649 pages)
Edition:
1st ed.
ISBN:
9783642111648
Series Statement:
Lecture Notes in Computer Science Series ; v.5909
URL:
https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=3064988
Language:
English
Note:
Title -- Preface -- Organization -- Table of Contents -- Pattern Recognition and Machine Learning -- New Approaches to Design and Control of Time Limited Search Algorithms -- Introduction -- Design of Anytime Heuristic Search Techniques -- Contract Search -- Anytime Window A* -- Integrated Frameworks for Meta-level Control -- References -- Feature Selection Using Non Linear Feature Relation Index -- Introduction -- Feature Selection -- Proposed Feature Relation Index -- Non-linear Feature Relation Index -- Selecting a Value for k -- Proposed Feature Selection Algorithm -- Algorithm -- Results -- Conclusion -- References -- Classification of Multi-variate Varying Length Time Series Using Descriptive Statistical Features -- Introduction -- Approaches to Classification of Multivariate, Varying Length Time Series Data -- Descriptive Statistical Features Based Approach to Time Series Classification -- Studies on Speech Emotion Recognition and Audio Clip Classification -- Conclusion -- References -- 2D-LPI: Two-Dimensional Locality Preserving Indexing -- Introduction -- Two-Dimensional Locality Preserving Indexing (2D-LPI): Proposed Model -- The Algorithm -- Image Recognition -- Experimentation 1 -- Video Summarization -- Experimentation 2 -- Conclusion -- References -- A Geometric Algorithm for Learning Oblique Decision Trees -- Introduction -- The Algorithm -- Experiments -- Conclusions -- References -- Kernel Optimization Using a Generalized Eigenvalue Approach -- Introduction -- Kernel Optimization -- Data Dependent Optimal Kernel -- The Generalized Eigenvalue Solution -- Experimental Results -- Conclusions and Discussion -- References -- Zero Norm Least Squares Proximal SVR -- Introduction -- Zero Norm LSPSVR -- Experimental Results -- Conclusion -- References -- Effect of Subsampling Rate on Subbagging and Related Ensembles of Stable Classifiers.
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Introduction and Notation -- Theory -- Experiments and Discussion of Results -- Discussion of the Results -- Conclusion -- References -- Metric in Feature Space -- Introduction -- Definitions and Basic Mathematics -- Feature Selection Algorithm, Results and Comparison -- Conclusion -- References -- Speeding-Up the K-Means Clustering Method: A Prototype Based Approach -- Introduction -- K-Means Clustering Algorithm -- Leaders Clustering Method -- lk-Means: Leader Based K-Means Clustering Method -- Experimental Results -- Conclusions -- References -- Constructive Semi-Supervised Classification Algorithm and Its Implement in Data Mining -- Introduction -- Overview of CS-SCA -- Basic Concept -- Network Construction -- Proposed Method: CS-SCA -- Clustering Process -- Labeling Process -- Experimental Work -- Concluding Remarks -- References -- Novel Deterministic Heuristics for Building Minimum Spanning Trees with Constrained Diameter -- Introduction -- Proposed Heuristics -- Performance on Benchmark Problems -- Conclusions -- References -- Multi-objective Evolutionary Feature Selection -- Introduction -- Proximity-Based Feature Selection -- Proximity between Feature Spaces -- Use of MOGA -- The Algorithm -- Experimental Results -- Conclusion -- References -- A Fast Supervised Method of Feature Ranking and Selection for Pattern Classification -- Introduction -- Feature Selection and Ranking -- Feature Ranking -- Feature Selection -- Experimental Results -- Conclusion -- References -- Clustering in Concept Association Networks -- Introduction -- Complex Networks: Models and Related Work -- Concept Association Networks(CAN) -- Clustering of Concepts -- Our Clustering Heuristic -- Comparison between Our Heuristic and Spectral Clustering -- Discussions -- Conclusions -- References -- Soft Computing and Applications.
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Interactive Rough-Granular Computing in Pattern Recognition -- Introduction -- Approximation Spaces -- Software Systems -- Conclusions -- References -- Application of Neural Networks in Preform Design of Aluminium Upsetting Process Considering Different Interfacial Frictional Conditions -- Introduction -- Artificial Neural Networks -- Methodology -- Geometrical, Material and Processing Parameters -- FE Simulation -- Numerical Validation -- Conclusion -- References -- Case Indexing Using PSO and ANN in Real Time Strategy Games -- Introduction -- Methodology -- Scenario of Tower Defense Game -- Learning Cases by Particle Swarm Optimization -- Case Indexing for ANN -- Resutls -- Fitness in Different Generations -- Execution Time of PSO and Training and Execution Time of ANN -- Training and Recalling Time of BP and RB networkN -- Conclusion -- References -- Construction of Fuzzy Relation by Closure Systems -- Introduction -- Preliminaries -- Results -- Conclusion -- References -- Incorporating Fuzziness to CLARANS -- Introduction -- Preliminaries -- CLARANS -- Validity Indices -- Fuzzy CLARANS -- Experimental Results -- Set 1 -- Large Data -- Conclusions -- References -- Development of a Neuro-fuzzy MR Image Segmentation Approach Using Fuzzy C-Means and Recurrent Neural Network -- Introduction -- Fuzzy Segmentation of MR Images -- Unsupervised Fuzzy Clustering -- The Recurrent Neural Network -- Training Procedure -- Optimization Method Using LM Algorithm -- Experiments and Results -- Conclusion -- References -- Weak Fuzzy Equivalence and Equality Relations -- Introduction -- Preliminaries -- Lattice Valued Weak Equivalence Relations -- Application in Algebra -- L-Valued Subalgebras -- Weak Lattice Valued Congruences -- Fuzzy Identities -- Conclusions -- References -- Estimation of Tailor-Welded Blank Parameters for Acceptable Tensile Behaviour Using ANN.
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Introduction -- Methodology -- Modeling Simulation of Tensile Test for Welded Blanks -- TWB Parameter Estimation Using ANN -- Results and Discussion -- References -- Bio and Chemo Informatics -- Identification of N-Glycosylation Sites with Sequence and Structural Features Employing Random Forests -- Introduction -- Materials and Methods -- Results and Discussion -- Conclusion -- References -- Identification of Defensins Employing Recurrence Quantification Analysis and Random Forest Classifiers -- Introduction -- Methodology -- Dataset -- Recurrence Quantification Analysis (RQA) -- Classification Algorithms -- Results and Discussion -- References -- Data Mining by Navigation - An Experience with Systems Biology -- Introduction -- Background Knowledge -- Data Sources -- Computation and Navigation -- Conclusions -- References -- A Least Squares Fitting-Based Modeling of Gene Regulatory Sub-networks -- Introduction -- Reverse Engineering of Gene Regulatory Sub-networks -- Algorithm for Extraction of Gene Gene Regulatory Sub-networks -- Least Squares Fitting of Gene Pairs -- Results -- Conclusions and Discussion -- References -- Automated Identification of Protein Structural Features -- Introduction -- Clustering in Protein Feature Identification -- Cluster Significance: Two Important Applications -- Automatic Detection of Biologically Significant Substructures -- Protein Structure Matching -- References -- Using Supervised Learning and Comparing General and ANTI-HIV Drug Databases Using Chemoinformatics -- Introduction -- Motivation -- ANTI-HIV Drugs -- Data Mining -- Classification Technique -- Decision Tree -- About the Tool WEKA -- Dataset Construction -- Drug Bank- A Knowledge Base for Drugs, Drug Actions and Drug Targets -- Experimental Results -- Decision Trees -- Classification Rules -- Conclusion -- References.
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Multiple Sequence Alignment Based Upon Statistical Approach of Curve Fitting -- Introduction -- Objective -- Algorithm for Multiple Sequence Alignments -- Detail Explanation of above Algorithm -- Result and Discussion -- References -- A Constraint Based Method for Optimization in Metabolic Pathways -- Introduction -- A Constraint Based Method -- Results and Comparison -- Biological Relevance and Validation -- Conclusions and Discussions -- References -- Cross-Correlation and Evolutionary Biclustering: Extracting Gene Interaction Sub-networks -- Introduction -- Gene Interaction Sub-network Extraction: A Multi-objective Evolutionary Approach -- Evolutionary Biclustering -- Time-Lagged Cross-Correlation between Gene Pairs -- Experimental Results -- Conclusions and Discussion -- References -- Text and Data Mining -- Learning Age and Gender of Blogger from Stylistic Variation -- Introduction -- Related Work -- Dataset -- Feature Selection and Classification Algorithm -- Results and Discussion -- Average Sentence Length -- Augmented Features -- Conclusion and Future Work -- References -- Hypertext Classification Using Tensor Space Model and Rough Set Based Ensemble Classifier -- Introduction -- Hypertext Features -- Proposed Method -- Preprocessing and TSM Representation -- Ensemble Classifications on Tensor Space -- Experimental Results -- Data Sets -- Classification Results on TSM -- Conclusion -- References -- Feature and Opinion Mining for Customer Review Summarization -- Introduction -- Related Work -- Proposed Opinion Mining System -- Document Processor and Subjectivity/Objectivity Analyzer -- Document Parser, and Feature and Opinion Learner -- Review Summarizer and Visualizer -- Evaluation -- Conclusion and Future Work -- References -- A Semi-supervised Approach for Maximum Entropy Based Hindi Named Entity Recognition -- Introduction.
,
Computing Confidence Weights for NER Task.
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