Intelligent data engineering and automated learning - IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013 : proceedings

A Pruning Algorithm for Extreme Learning Machine. - Measuring Stability and Discrimination Power of Metrics in Information Retrieval Evaluation. - System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voice and Visual Communication. - Racing for Unbalanced Methods Selection. - Super-Resolution from One Single Low-Resolution Image Based on R-KSVD and Example-Based Algorithm. - Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning. - Learning to Detect the Subway Station Arrival for Mobile Users. - Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering. - Drilling Cost Prediction Based on Self-adaptive Differential Evolution and Support Vector Regression. - Web Service Evaluation Method Based on Time-aware Collaborative Filtering. - An Improved PBIL Algorithm for Path Planning Problem of Mobile Robots. - An Initialized ACO for the VRPTW. - Deadline-Aware Event Scheduling for Complex Event Processing Systems. - A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing. - Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model. - An Extended Version of the LVA-Index. - Anomaly Monitoring Framework Based on Intelligent Data Analysis. - Customer Unification in E-Commerce. - Network Management Based on Domain Partition for Mobile Agents. - Multi-objective Quantum Cultural Algorithm and Its Application in the Wireless Sensor Networks' Energy-Efficient Coverage Optimization. - Image Super Resolution via Visual Prior Based Digital Image Characteristics. - Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder. - Prevailing Trends Detection of Public Opinions Based on Tianya Forum. - Fast and Accurate Sentiment Classification Using an Enhanced Naive Bayes Model. - A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems. - A Direction based Multi-Objective Agent Genetic Algorithm. - A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation. - Adapt a Text-Oriented Chunker for Oral Data: How Much Manual Effort Is Necessary? - SVD Based Graph Regularized Matrix Factorization. - Clustering, Noise Reduction and Visualization Using Features Extracted from the Self-Organizing Map. - Efficient Service Deployment by Image-Aware VM Allocation Strategy. - Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model. - A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization. - Adaptive Differential Evolution Fuzzy Clustering Algorithm with Spatial Information and Kernel Metric for Remote Sensing Imagery. - Dynamic EM in Neologism Evolution. - Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement. - Sparse Prototype Representation by Core Sets. - Reconstruction of Wind Speed Based on Synoptic Pressure Values and Support Vector Regression. - Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables. - A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems. - Fuzzy Clustering with Grouping Genetic Algorithms. - Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism. - Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution. - Gradient Boosting-Based Negative Correlation Learning. - Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient. - Semi-supervised Ranking via List-Wise Approach. - Gaussian Process for Transfer Learning through Minimum Encoding. - Kernel Based Manifold Learning for Complex Industry Fault Detection. - An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes. - Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism. - Swarm Intelligence in Big Data Analytics. - Multidimensional Dynamic Trust Measurement Model with Incentive Mechanism for Internetware. - Global Path Planning of Wheeled Robots Using a Multi-Objective Memetic Algorithm. - Quantifying Flow Field Distances Based on a Compact Streamline Representation. - MCGA: A Multiobjective Cellular Genetic Algorithm Based on a 3D Grid. - Multi-Objective Particle Swarm Optimization Algorithm Based on Population Decomposition. - An Effective Ant Colony Approach for Scheduling Parallel Batch-Processing Machines. - Understanding Instance Complexity in the Linear Ordering Problem. - Multi-Objective Evolutionary Algorithm Based on Decomposition for Air Traffic Flow Network Rerouting Problem. - Temporal Dependence in Legal Documents. - Learning-Guided Exploration in Airfoil Optimization. - A Trigram Language Model to Predict Part of Speech Tags Using Neural Network. - Handling Different Levels of Granularity within Naive Bayes Classifiers. - Genetic Algorithm on GPU Performance Optimization Issues. - Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results. - Velocity Divergence of CCPSO in Large Scale Global Optimization. - Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition. - High against Low Quantile Comparison for Biomarker and Classifier Evaluation. - Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments. - Hybrid Bacterial Foraging Algorithm for Data Clustering. - Swarm Intelligence with Clustering for Solving SAT.- Multilevel Bee Swarm Optimization for Large Satisfiability Problem Instances. - Voting-XCSc: A Consensus Clustering Method via Learning Classifier System. - Distance Weighted Cosine Similarity Measure for Text Classification. - A Survey on Benchmarks for Big Data and Some More Considerations. - Spectral Clustering Algorithm Based on Local Sparse Representation.