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Artificial Intelligence and Soft Computing

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Cover of 'Artificial Intelligence and Soft Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Improving Automatic Classifiers Through Interaction
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    Chapter 2 Frequent Closed Patterns Based Multiple Consensus Clustering
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    Chapter 3 Complexity of Rule Sets Induced from Data Sets with Many Lost and Attribute-Concept Values
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    Chapter 4 On the Cesàro-Means-Based Orthogonal Series Approach to Learning Time-Varying Regression Functions
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    Chapter 5 Nonparametric Estimation of Edge Values of Regression Functions
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    Chapter 6 Hybrid Splitting Criterion in Decision Trees for Data Stream Mining
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    Chapter 7 Data Intensive vs Sliding Window Outlier Detection in the Stream Data — An Experimental Approach
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    Chapter 8 Towards Feature Selection for Appearance Models in Solar Event Tracking
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    Chapter 9 Text Mining with Hybrid Biclustering Algorithms
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    Chapter 10 A Modification of the Silhouette Index for the Improvement of Cluster Validity Assessment
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    Chapter 11 Similarities, Dissimilarities and Types of Inner Products for Data Analysis in the Context of Machine Learning
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    Chapter 12 Detection of Behavioral Data Based on Recordings from Energy Usage Sensor
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    Chapter 13 Regularization Methods for the Analytical Statistical Reconstruction Problem in Medical Computed Tomography
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    Chapter 14 A Case-Based Approach to Nosocomial Infection Detection
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    Chapter 15 Computational Classification of Melanocytic Skin Lesions
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    Chapter 16 Finding Free Schedules for RNA Secondary Structure Prediction
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    Chapter 17 A Kinect-Based Support System for Children with Autism Spectrum Disorder
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    Chapter 18 From Biometry to Signature-As-A-Service: The Idea, Architecture and Realization
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    Chapter 19 Self Organizing Maps for 3D Face Understanding
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    Chapter 20 A New Approach to the Dynamic Signature Verification Aimed at Minimizing the Number of Global Features
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    Chapter 21 An Idea of the Dynamic Signature Verification Based on a Hybrid Approach
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    Chapter 22 A New Method for Generating Nonlinear Correction Models of Dynamic Objects Based on Semantic Genetic Programming
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    Chapter 23 A New Method for Generating of Fuzzy Rules for the Nonlinear Modelling Based on Semantic Genetic Programming
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    Chapter 24 A New Approach for Using the Fuzzy Decision Trees for the Detection of the Significant Operating Points in the Nonlinear Modeling
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    Chapter 25 A New Method of the Intelligent Modeling of the Nonlinear Dynamic Objects with Fuzzy Detection of the Operating Points
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    Chapter 26 Why Systems of Temporal Logic Are Sometimes (Un)useful?
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    Chapter 27 New Integral Approach to the Specification of STPU-Solutions
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    Chapter 28 Towards Verification of Dialogue Protocols: A Mathematical Model
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    Chapter 29 Transient Solution for Queueing Delay Distribution in the GI/M/1/K-type Mode with “Queued” Waking up and Balking
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    Chapter 30 Some Novel Results of Collective Knowledge Increase Analysis Using Euclidean Space
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    Chapter 31 Ontological Approach to Design Reasoning with the Use of Many-Sorted First-Order Logic
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    Chapter 32 Local Modeling with Local Dimensionality Reduction: Learning Method of Mini-Models
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    Chapter 33 Evolutionary Multiobjective Optimization of Liquid Fossil Fuel Reserves Exploitation with Minimizing Natural Environment Contamination
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    Chapter 34 SOMA Swarm Algorithm in Computer Games
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    Chapter 35 Tabu Search Algorithm with Neural Tabu Mechanism for the Cyclic Job Shop Problem
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    Chapter 36 Parallel Tabu Search Algorithm with Uncertain Data for the Flexible Job Shop Problem
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    Chapter 37 A Method of Analysis and Visualization of Structured Datasets Based on Centrality Information
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    Chapter 38 Forward Chaining with State Monad
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    Chapter 39 From SBVR to BPMN and DMN Models. Proposal of Translation from Rules to Process and Decision Models
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    Chapter 40 On Cooperation in Multi-agent System, Based on Heterogeneous Knowledge Representation
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    Chapter 41 Authorship Attribution of Polish Newspaper Articles
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    Chapter 42 Use of Different Movement Mechanisms in Cockroach Swarm Optimization Algorithm for Traveling Salesman Problem
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    Chapter 43 The Concept of Molecular Neurons
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    Chapter 44 Crowd Teaches the Machine: Reducing Cost of Crowd-Based Training of Machine Classifiers
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    Chapter 45 Indoor Localization of a Moving Mobile Terminal by an Enhanced Particle Filter Method
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    Chapter 46 Unsupervised Detection of Unusual Behaviors from Smart Home Energy Data
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    Chapter 47 Associative Memory Idea in a Nano-Environment
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    Chapter 48 A New Approach to Designing of Intelligent Emulators Working in a Distributed Environment
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    Chapter 49 The Use of Rough Sets Theory to Select Supply Routes Depending on the Transport Conditions
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    Chapter 50 Predicting Success of Bank Direct Marketing by Neuro-fuzzy Systems
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    Chapter 51 The Confidence Intervals in Computer Go
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    Chapter 52 RoughCut–New Approach to Segment High-Resolution Images
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    Chapter 53 Vision Based Techniques of 3D Obstacle Reconfiguration for the Outdoor Drilling Mobile Robot
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    Chapter 54 A Clustering Based System for Automated Oil Spill Detection by Satellite Remote Sensing
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    Chapter 55 Accelerating SVM with GPU: The State of the Art
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    Chapter 56 The Bag-of-Features Algorithm for Practical Applications Using the MySQL Database
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    Chapter 57 Image Descriptor Based on Edge Detection and Crawler Algorithm
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    Chapter 58 Neural Video Compression Based on RBM Scene Change Detection Algorithm
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    Chapter 59 A Novel Convolutional Neural Network with Glial Cells
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    Chapter 60 Examination of the Deep Neural Networks in Classification of Distorted Signals
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    Chapter 61 Color-Based Large-Scale Image Retrieval with Limited Hardware Resources
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    Chapter 62 Intelligent Driving Assistant System
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    Chapter 63 Novel Image Descriptor Based on Color Spatial Distribution
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    Chapter 64 Stereo Matching by Using Self-distributed Segmentation and Massively Parallel GPU Computing
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    Chapter 65 Diabetic Retinopathy Related Lesions Detection and Classification Using Machine Learning Technology
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    Chapter 66 Query-by-Example Image Retrieval in Microsoft SQL Server
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    Chapter 67 New Algorithms for a Granular Image Recognition System
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Title
Artificial Intelligence and Soft Computing
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-39384-1
ISBNs
978-3-31-939383-4, 978-3-31-939384-1
Editors

Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Ryszard Tadeusiewicz, Lotfi A. Zadeh, Jacek M. Zurada

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Student > Master 2 18%
Student > Bachelor 2 18%
Student > Ph. D. Student 2 18%
Other 1 9%
Other 1 9%
Unknown 1 9%
Readers by discipline Count As %
Economics, Econometrics and Finance 2 18%
Computer Science 2 18%
Engineering 2 18%
Social Sciences 1 9%
Environmental Science 1 9%
Other 0 0%
Unknown 3 27%