Intelligent Data Engineering and Automated Learning -- IDEAL 2013

Prof. Dr. Frank Klawonn ist an der FH Braunschweig (Bereich Data Mining, Fuzzy-Systeme, neuronale Netze und evolutionäre Algorithmen) tätig.

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 Naïve Bayes Model.- A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems.- ADirection 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.