Nature-Inspired Computation and Machine Learning : 13th Mexican International Conference on Artificial Intelligence, MICAI2014, Tuxtla Gutiérrez, Mexico, November 16-22, 2014. Proceedings, Part II / edited by Alexander Gelbukh, Félix Castro Espinoza, Sofía N. Galicia-Haro.

Format:

Book

Contributor:

Gelbukh, Alexander., Editor.

Castro Espinoza, Félix, Editor.

Galicia Haro, Sofía N., Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 8857

Lecture Notes in Artificial Intelligence, 2945-9141 ; 8857

Language:

English

Subjects (All):

Artificial intelligence.

Image processing-Digital techniques.

Computer vision.

Medical informatics.

Application software.

Information storage and retrieval systems.

Algorithms.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Health Informatics.

Computer and Information Systems Applications.

Information Storage and Retrieval.

Local Subjects:

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Health Informatics.

Computer and Information Systems Applications.

Information Storage and Retrieval.

Algorithms.

Physical Description:

1 online resource (XXX, 522 pages) : 195 illustrations

Edition:

1st ed. 2014.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2014.

System Details:

text file PDF

Summary:

The two-volume set LNAI 8856 and LNAI 8857 constitutes the proceedings of the 13th Mexican International Conference on Artificial Intelligence, MICAI 2014, held in Tuxtla, Mexico, in November 2014. The total of 87 papers plus 1 invited talk presented in these proceedings were carefully reviewed and selected from 348 submissions. The first volume deals with advances in human-inspired computing and its applications. It contains 44 papers structured into seven sections: natural language processing, natural language processing applications, opinion mining, sentiment analysis, and social network applications, computer vision, image processing, logic, reasoning, and multi-agent systems, and intelligent tutoring systems. The second volume deals with advances in nature-inspired computation and machine learning and contains also 44 papers structured into eight sections: genetic and evolutionary algorithms, neural networks, machine learning, machine learning applications to audio and text, data mining, fuzzy logic, robotics, planning, and scheduling, and biomedical applications.

Contents:

Genetic and Evolutionary Algorithms Performance Classification of Genetic Algorithms on Continuous Optimization Problems

A Multi-objective Genetic Algorithm for the Software Project Scheduling Problem

An Effective Method for MOGAs Initialization to Solve the Multi-Objective Next Release Problem

Extension of the Method of Musical Composition for the Treatment of Multi-objective Optimization Problems

k-Nearest-Neighbor by Differential Evolution for Time Series Forecasting

A Binary Differential Evolution with Adaptive Parameters Applied to the Multiple Knapsack Problem

Neural Networks

The Best Neural Network Architecture

On the Connection Weight Space Structure of a Two-Neuron Discrete Neural Network: Bifurcations of the Fixed Point at the Origin

Stability of Modular Recurrent Trainable Neural Networks

Intelligent Control of Induction Motor Based Comparative Study: Analysis of Two Topologies

Auto-Adaptive Neuro-Fuzzy Parameter Regulator for Motor Drive

Machine Learning

Voting Algorithms Model with a Support Sets System by Class

A Meta Classifier by Clustering of Classifiers

Multiple Kernel Support Vector Machine Problem Is NP-Complete

Feature Analysis for the Classification of Volcanic Seismic Events Using Support Vector Machines

A Hierarchical Reinforcement Learning Based Artificial Intelligence for Non-Player Characters in Video Games

Wind Power Forecasting Using Dynamic Bayesian Models

Predictive Models Applied to Heavy Duty Equipment Management

Customer Churn Prediction in Telecommunication Industry: With and without Counter-Example

Machine Learning Applications to Audio and Text Audio-to-Audio Alignment for Performances Tracking

Statistical Features Based Noise Type Identification

Using Values of the Human Cochlea in the Macro and Micro Mechanical Model for Automatic Speech Recognition

Identification of Vowel Sounds of the Choapan Variant of Zapotec Language

An Open-Domain Cause-Effect Relation Detection from Paired Nominals

An Alignment Comparator for Entity Resolution with Multi-valued Attributes

Data Mining

Data Mining for Discovering Patterns in Migration

Horizontal Partititoning of Multimedia Databases Using Hierarchical Agglomerative Clustering

Classification with Graph-Based Markov Chain

Solving Binary Cutting Stock with Matheuristics

Fuzzy Logic

Nature-Inspired Optimization of Type-2 Fuzzy Systems

Hierarchical Genetic Algorithms for Fuzzy Inference System Optimization Applied to Response Integration for Pattern Recognition

Low-Cost Fuzzy-Based Obstacle Avoidance Method for Autonomous Agents

Fuzzy Controller for a Pneumatic Positioning Nonlinear System

Yager-Rybalov Triple Π Operator as a Means of Reducing the Number of Generated Clusters in Unsupervised Anuran Vocalization Recognition

Robotics, Planning, and Scheduling

AI-Based Design of a Parallel Robot Used as a Laser Tracker System: Intelligent vs. Nonlinear Classical Controllers

Simple Direct Propositional Encoding of Cooperative Path Finding Simplified Yet More

Pendulum Position Based Fuzzy Regulator of the Furuta Pendulum - A Stable Closed-Loop System Design Approach

A Fast Scheduling Algorithm for Detection and Localization of Hidden Objects Based on Data Gathering in Wireless Sensor Networks

A Constraint-Based Planner for Mars Express Orbiter

Biomedical Applications

Glucose Oxidase Biosensor Modeling by Machine Learning Methods

On the Breast Mass Diagnosis Using Bayesian Networks

Predicting the Occurrence of Sepsis by In Silico Simulation

Data Mining and Machine Learning on the Basis from Reflexive Eye Movements Can Predict Symptom Development in Individual Parkinson's Patients

Agents That Help to Avoid Hyperthermia in Young Children Left in a Baby Seat Inside an Enclosed Car.

Other Format:

Printed edition:

ISBN:

978-3-319-13650-9

9783319136509

Access Restriction:

Restricted for use by site license.