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ORCID3. SLDS 2015: Egham, UK
- Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos
:
Statistical Learning and Data Sciences - Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings. Lecture Notes in Computer Science 9047, Springer 2015, ISBN 978-3-319-17090-9
Invited Papers
- Vladimir Vapnik, Rauf Izmailov:
Learning with Intelligent Teacher: Similarity Control and Knowledge Transfer - In memory of Alexey Chervonenkis. 3-32 - Vladimir Vapnik, Rauf Izmailov:
Statistical Inference Problems and Their Rigorous Solutions - In memory of Alexey Chervonenkis. 33-71
Statistical Learning and Its Applications
- Savvas Karatsiolis, Christos N. Schizas:
Feature Mapping Through Maximization of the Atomic Interclass Distances. 75-85 - Evgeny Burnaev, Ivan Panin:
Adaptive Design of Experiments for Sobol Indices Estimation Based on Quadratic Metamodel. 86-95 - Andreas Henelius, Kai Puolamäki, Isak Karlsson, Jing Zhao, Lars Asker, Henrik Boström, Panagiotis Papapetrou:
GoldenEye++: A Closer Look into the Black Box. 96-105 - Mikhail Belyaev, Evgeny Burnaev, Yermek Kapushev:
Gaussian Process Regression for Structured Data Sets. 106-115 - Evgeny Burnaev, Maxim Panov:
Adaptive Design of Experiments Based on Gaussian Processes. 116-125 - Isak Karlsson, Panagiotis Papapetrou, Henrik Boström:
Forests of Randomized Shapelet Trees. 126-136 - Alexey Romanenko:
Aggregation of Adaptive Forecasting Algorithms Under Asymmetric Loss Function. 137-146 - Carlo Drago, Natale Carlo Lauro, Germana Scepi:
Visualization and Analysis of Multiple Time Series by Beanplot PCA. 147-155 - Dmitry Kangin, Plamen Angelov:
Recursive SVM Based on TEDA. 156-168 - Clauber Gomes Bezerra, Bruno Sielly Jales Costa, Luiz Affonso Guedes, Plamen Parvanov Angelov:
RDE with Forgetting: An Approximate Solution for Large Values of k with an Application to Fault Detection Problems. 169-178 - Erik Acorn, Nikolaos Dipsis, Tamar Pincus, Kostas Stathis:
Sit-to-Stand Movement Recognition Using Kinect. 179-192 - Konstantin V. Vorontsov, Anna Potapenko, Alexander Plavin:
Additive Regularization of Topic Models for Topic Selection and Sparse Factorization. 193-202 - Rapheal Olaniyan, Daniel Stamate, Doina Logofatu:
Social Web-Based Anxiety Index's Predictive Information on S&P 500 Revisited. 203-213 - Mohsina Mahmuda Ferdous, Veronica Vinciotti, Xiaohui Liu, Paul Wilson:
Exploring the Link Between Gene Expression and Protein Binding by Integrating mRNA Microarray and ChIP-Seq Data. 214-222 - Konstantinos Demertzis, Lazaros S. Iliadis:
Evolving Smart URL Filter in a Zone-Based Policy Firewall for Detecting Algorithmically Generated Malicious Domains. 223-233 - Miguel Couceiro, Tamás Waldhauser:
Lattice-Theoretic Approach to Version Spaces in Qualitative Decision Making. 234-238
Conformal Prediction and Its Applications
- Hua-zhen Wang, Xin Liu, Ilia Nouretdinov, Zhiyuan Luo:
A Comparison of Three Implementations of Multi-Label Conformal Prediction. 241-250 - Lars Carlsson, Ernst Ahlberg, Henrik Boström, Ulf Johansson, Henrik Linusson:
Modifications to p-Values of Conformal Predictors. 251-259 - Harris Papadopoulos:
Cross-Conformal Prediction with Ridge Regression. 260-270 - Ulf Johansson, Ernst Ahlberg, Henrik Boström, Lars Carlsson, Henrik Linusson, Cecilia Sönströd:
Handling Small Calibration Sets in Mondrian Inductive Conformal Regressors. 271-280 - James Smith, Ilia Nouretdinov, Rachel Craddock, Charles Offer, Alexander Gammerman:
Conformal Anomaly Detection of Trajectories with a Multi-class Hierarchy. 281-290 - Ritvik Jaiswal, Vineeth N. Balasubramanian:
Model Selection Using Efficiency of Conformal Predictors. 291-300 - Christophe Denis, Mohamed Hebiri:
Confidence Sets for Classification. 301-312 - Giovanni Cherubin, Ilia Nouretdinov, Alexander Gammerman, Roberto Jordaney, Zhi Wang, Davide Papini, Lorenzo Cavallaro:
Conformal Clustering and Its Application to Botnet Traffic. 313-322 - Ernst Ahlberg, Ola Spjuth, Catrin Hasselgren, Lars Carlsson:
Interpretation of Conformal Prediction Classification Models. 323-334
New Frontiers in Data Analysis for Nuclear Fusion
- Giuseppe Rattá, Jesús Vega:
Confinement Regime Identification Using Artificial Intelligence Methods. 337-346 - Andrea Murari, Emmanuele Peluso, Michela Gelfusa, Michele Lungaroni, Pasqualino Gaudio:
How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications. 347-355 - Gonzalo Farias, Sebastián Dormido-Canto, Jesús Vega, Norman Díaz:
Applying Forecasting to Fusion Databases. 356-365 - Jesús Vega, Sebastián Dormido-Canto, F. Martínez, Ignacio Pastor, M. C. Rodríguez:
Computationally Efficient Five-Class Image Classifier Based on Venn Predictors. 366-375 - Fernando Pavón, Jesús Vega, Sebastián Dormido-Canto:
SOM and Feature Weights Based Method for Dimensionality Reduction in Large Gauss Linear Models. 376-385
Geometric Data Analysis
- Brigitte Le Roux, Frédérik Cassor:
Assigning Objects to Classes of a Euclidean Ascending Hierarchical Clustering. 389-396 - Fionn Murtagh, Mohsen M. Farid:
The Structure of Argument: Semantic Mapping of US Supreme Court Cases. 397-405 - Patrick Erik Bradley:
Supporting Data Analytics for Smart Cities: An Overview of Data Models and Topology. 406-413 - Alexander V. Bernstein, Alexander P. Kuleshov, Yury Yanovich:
Manifold Learning in Regression Tasks. 414-423 - Fionn Murtagh, Pedro Contreras:
Random Projection Towards the Baire Metric for High Dimensional Clustering. 424-431 - Bernard Colin, Jules de Tibeiro, François Dubeau:
Optimal Coding for Discrete Random Vector. 432-441
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