Statistical Learning and Data Sciences : Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings

Chapter 1 Learning with Intelligent Teacher: Similarity Control and Knowledge Transfer

Chapter 2 Statistical Inference Problems and Their Rigorous Solutions

Chapter 3 Feature Mapping Through Maximization of the Atomic Interclass Distances

Chapter 4 Adaptive Design of Experiments for Sobol Indices Estimation Based on Quadratic Metamodel

Chapter 5 GoldenEye++: A Closer Look into the Black Box

Chapter 6 Gaussian Process Regression for Structured Data Sets

Chapter 7 Adaptive Design of Experiments Based on Gaussian Processes

Chapter 8 Forests of Randomized Shapelet Trees

Chapter 9 Aggregation of Adaptive Forecasting Algorithms Under Asymmetric Loss Function

Chapter 10 Visualization and Analysis of Multiple Time Series by Beanplot PCA

Chapter 11 Recursive SVM Based on TEDA

Chapter 12 RDE with Forgetting: An Approximate Solution for Large Values of \(k\) with an Application to Fault Detection Problems

Chapter 13 Sit-to-Stand Movement Recognition Using Kinect

Chapter 14 Additive Regularization of Topic Models for Topic Selection and Sparse Factorization

Chapter 15 Social Web-Based Anxiety Index’s Predictive Information on S&P 500 Revisited

Chapter 16 Exploring the Link Between Gene Expression and Protein Binding by Integrating mRNA Microarray and ChIP-Seq Data

Chapter 17 Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains

Chapter 18 Lattice-Theoretic Approach to Version Spaces in Qualitative Decision Making

Chapter 19 A Comparison of Three Implementations of Multi-Label Conformal Prediction

Chapter 20 Statistical Learning and Data Sciences

Chapter 21 Cross-Conformal Prediction with Ridge Regression

Chapter 22 Handling Small Calibration Sets in Mondrian Inductive Conformal Regressors

Chapter 23 Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy

Chapter 24 Model Selection Using Efficiency of Conformal Predictors

Chapter 25 Confidence Sets for Classification

Chapter 26 Conformal Clustering and Its Application to Botnet Traffic

Chapter 27 Interpretation of Conformal Prediction Classification Models

Chapter 28 Confinement Regime Identification Using Artificial Intelligence Methods

Chapter 29 How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications

Chapter 30 Applying Forecasting to Fusion Databases

Chapter 31 Computationally Efficient Five-Class Image Classifier Based on Venn Predictors

Chapter 32 SOM and Feature Weights Based Method for Dimensionality Reduction in Large Gauss Linear Models

Chapter 33 Assigning Objects to Classes of a Euclidean Ascending Hierarchical Clustering

Chapter 34 The Structure of Argument: Semantic Mapping of US Supreme Court Cases

Chapter 35 Supporting Data Analytics for Smart Cities: An Overview of Data Models and Topology

Chapter 36 Manifold Learning in Regression Tasks

Chapter 37 Random Projection Towards the Baire Metric for High Dimensional Clustering

Chapter 38 Optimal Coding for Discrete Random Vector