Developing Concepts in Applied Intelligence

An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
An Asymmetric Criterion for Cluster Validation
Discovery of Domain Values for Data Quality Assurance
Discovery of Domain Values for Data Quality Assurance
Discovery of Domain Values for Data Quality Assurance
Discovery of Domain Values for Data Quality Assurance
Discovery of Domain Values for Data Quality Assurance
Discovery of Domain Values for Data Quality Assurance
Dynamic Time Warping-Based K-Means Clustering for Accelerometer-Based Handwriting Recognition
Dynamic Time Warping-Based K-Means Clustering for Accelerometer-Based Handwriting Recognition
Dynamic Time Warping-Based K-Means Clustering for Accelerometer-Based Handwriting Recognition
Dynamic Time Warping-Based K-Means Clustering for Accelerometer-Based Handwriting Recognition
Dynamic Time Warping-Based K-Means Clustering for Accelerometer-Based Handwriting Recognition
Dynamic Time Warping-Based K-Means Clustering for Accelerometer-Based Handwriting Recognition
On Segmentation of Interaction Values
On Segmentation of Interaction Values
On Segmentation of Interaction Values
On Segmentation of Interaction Values
On Segmentation of Interaction Values
On Segmentation of Interaction Values
SI-APRENDE: An Intelligent Learning System ased on SCORM Learning Objects for Training Power Systems Operators
SI-APRENDE: An Intelligent Learning System ased on SCORM Learning Objects for Training Power Systems Operators
SI-APRENDE: An Intelligent Learning System ased on SCORM Learning Objects for Training Power Systems Operators
SI-APRENDE: An Intelligent Learning System ased on SCORM Learning Objects for Training Power Systems Operators
SI-APRENDE: An Intelligent Learning System ased on SCORM Learning Objects for Training Power Systems Operators
SI-APRENDE: An Intelligent Learning System ased on SCORM Learning Objects for Training Power Systems Operators
Least Squares Support Vector Machines for Channel Prediction in the MIMO System
Least Squares Support Vector Machines for Channel Prediction in the MIMO System
Least Squares Support Vector Machines for Channel Prediction in the MIMO System
Least Squares Support Vector Machines for Channel Prediction in the MIMO System
Least Squares Support Vector Machines for Channel Prediction in the MIMO System
Least Squares Support Vector Machines for Channel Prediction in the MIMO System
A Neural Computation Model Based on nCRF and Reverse Control Mechanism
A Neural Computation Model Based on nCRF and Reverse Control Mechanism
A Neural Computation Model Based on nCRF and Reverse Control Mechanism
A Neural Computation Model Based on nCRF and Reverse Control Mechanism
A Neural Computation Model Based on nCRF and Reverse Control Mechanism
A Neural Computation Model Based on nCRF and Reverse Control Mechanism
Particle Swarm Optimization of a Recurrent Neural Network Control for an Underactuated Rotary Crane with Particle Filter Based State Estimation
Particle Swarm Optimization of a Recurrent Neural Network Control for an Underactuated Rotary Crane with Particle Filter Based State Estimation
Particle Swarm Optimization of a Recurrent Neural Network Control for an Underactuated Rotary Crane with Particle Filter Based State Estimation
Particle Swarm Optimization of a Recurrent Neural Network Control for an Underactuated Rotary Crane with Particle Filter Based State Estimation
Particle Swarm Optimization of a Recurrent Neural Network Control for an Underactuated Rotary Crane with Particle Filter Based State Estimation
Particle Swarm Optimization of a Recurrent Neural Network Control for an Underactuated Rotary Crane with Particle Filter Based State Estimation
Particle Swarm Optimization of a Recurrent Neural Network Control for an Underactuated Rotary Crane with Particle Filter Based State Estimation
Particle Swarm Optimization of a Recurrent Neural Network Control for an Underactuated Rotary Crane with Particle Filter Based State Estimation
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Using Class Decomposition for Building GA with Fuzzy Rule-Based Classifiers
Improving the Performance of Multi-start Search on the Traveling Salesman Problem
Improving the Performance of Multi-start Search on the Traveling Salesman Problem
Improving the Performance of Multi-start Search on the Traveling Salesman Problem
Improving the Performance of Multi-start Search on the Traveling Salesman Problem
Improving the Performance of Multi-start Search on the Traveling Salesman Problem
Improving the Performance of Multi-start Search on the Traveling Salesman Problem
A Constraint Programming Application for Rotating Workforce Scheduling
A Constraint Programming Application for Rotating Workforce Scheduling
A Constraint Programming Application for Rotating Workforce Scheduling
A Constraint Programming Application for Rotating Workforce Scheduling
A Constraint Programming Application for Rotating Workforce Scheduling
A Constraint Programming Application for Rotating Workforce Scheduling
An Agent-Based Architecture for Multifaceted Online Dispute ResolutionTools
An Agent-Based Architecture for Multifaceted Online Dispute ResolutionTools
An Agent-Based Architecture for Multifaceted Online Dispute ResolutionTools
An Agent-Based Architecture for Multifaceted Online Dispute ResolutionTools
An Agent-Based Architecture for Multifaceted Online Dispute ResolutionTools
An Agent-Based Architecture for Multifaceted Online Dispute ResolutionTools
Towards an Agent-Based Knowledge Management System
Towards an Agent-Based Knowledge Management System
Towards an Agent-Based Knowledge Management System
Towards an Agent-Based Knowledge Management System
Towards an Agent-Based Knowledge Management System
Towards an Agent-Based Knowledge Management System
An Approach to Auction-Based Web Server Admission Control
An Approach to Auction-Based Web Server Admission Control
An Approach to Auction-Based Web Server Admission Control
An Approach to Auction-Based Web Server Admission Control
An Approach to Auction-Based Web Server Admission Control
An Approach to Auction-Based Web Server Admission Control
Adaptive Fuzzy Rules Emulated Networks Controller for 7-DOF Robotic Arm with Time Varying Learning Rate
Adaptive Fuzzy Rules Emulated Networks Controller for 7-DOF Robotic Arm with Time Varying Learning Rate
Adaptive Fuzzy Rules Emulated Networks Controller for 7-DOF Robotic Arm with Time Varying Learning Rate
Adaptive Fuzzy Rules Emulated Networks Controller for 7-DOF Robotic Arm with Time Varying Learning Rate
Adaptive Fuzzy Rules Emulated Networks Controller for 7-DOF Robotic Arm with Time Varying Learning Rate
Adaptive Fuzzy Rules Emulated Networks Controller for 7-DOF Robotic Arm with Time Varying Learning Rate
Belief Management for Autonomous Robots Using History-Based Diagnosis
Belief Management for Autonomous Robots Using History-Based Diagnosis
Belief Management for Autonomous Robots Using History-Based Diagnosis
Belief Management for Autonomous Robots Using History-Based Diagnosis
Belief Management for Autonomous Robots Using History-Based Diagnosis
Belief Management for Autonomous Robots Using History-Based Diagnosis
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust
Enhancing Believability of Virtual Soccer Players: Application of a BDI-Model with Emotions and Trust