Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings.: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Part I (2019)
- Record Type:
- Book
- Title:
- Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings.: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings. Part I (2019)
- Main Title:
- Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2018, Dublin, Ireland, September 10-14, 2018, Proceedings.
- Other Titles:
- ECML PKDD 2018
- Further Information:
- Note: Michele Berlingerio, Francesco Bonchi, Thomas Gärtner, Neil Hurley, Georgiana Ifrim (eds.).
- Editors:
- Berlingerio, Michele
Bonchi, Francesco
Gärtner, Thomas, 1977-
Hurley, Neil
Ifrim, Georgiana - Other Names:
- ECML PKDD (Conference)
- Contents:
- Adversarial Learning.- Image Anomaly Detection with Generative Adversarial Networks.- Image-to-Markup Generation via Paired Adversarial Learning.- Toward an Understanding of Adversarial Examples in Clinical Trials.- ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector.- Anomaly and Outlier Detection.- GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid.- Incorporating Privileged Information to Unsupervised Anomaly Detection.- L1-Depth Revisited: A Robust Angle-based Outlier Factor in High-dimensional Space.- Beyond Outlier Detection: LookOut for Pictorial Explanation.- Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier Features.- Group Anomaly Detection using Deep Generative Models.- Applications.- A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements.- Face-Cap: Image Captioning using Facial Expression Analysis.- Pedestrian Trajectory Prediction with Structured Memory Hierarchies.- Classification.- Multiple Instance Learning with Bag-level Randomized Trees.- One-class Quantification.- Deep F-Measure Maximization in Multi-Label Classification: A Comparative Study.- Ordinal Label Proportions.- AWX: An Integrated Approach to Hierarchical-Multilabel Classification.- Clustering and Unsupervised Learning.- Clustering in the Presence of Concept Drift.- Time Warp Invariant Dictionary Learning for Time Series Clustering.- How Your Supporters and Opponents DefineAdversarial Learning.- Image Anomaly Detection with Generative Adversarial Networks.- Image-to-Markup Generation via Paired Adversarial Learning.- Toward an Understanding of Adversarial Examples in Clinical Trials.- ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector.- Anomaly and Outlier Detection.- GridWatch: Sensor Placement and Anomaly Detection in the Electrical Grid.- Incorporating Privileged Information to Unsupervised Anomaly Detection.- L1-Depth Revisited: A Robust Angle-based Outlier Factor in High-dimensional Space.- Beyond Outlier Detection: LookOut for Pictorial Explanation.- Scalable and Interpretable One-class SVMs with Deep Learning and Random Fourier Features.- Group Anomaly Detection using Deep Generative Models.- Applications.- A Discriminative Model for Identifying Readers and Assessing Text Comprehension from Eye Movements.- Face-Cap: Image Captioning using Facial Expression Analysis.- Pedestrian Trajectory Prediction with Structured Memory Hierarchies.- Classification.- Multiple Instance Learning with Bag-level Randomized Trees.- One-class Quantification.- Deep F-Measure Maximization in Multi-Label Classification: A Comparative Study.- Ordinal Label Proportions.- AWX: An Integrated Approach to Hierarchical-Multilabel Classification.- Clustering and Unsupervised Learning.- Clustering in the Presence of Concept Drift.- Time Warp Invariant Dictionary Learning for Time Series Clustering.- How Your Supporters and Opponents Define Your Interestingness.- Deep Learning.- Efficient Decentralized Deep Learning by Dynamic Model Averaging.- Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems.- Towards Efficient Forward Propagation on Resource-Constrained Systems.- Auxiliary Guided Autoregressive Variational Autoencoders.- Cooperative Multi-Agent Policy Gradient.- Parametric t-Distributed Stochastic Exemplar-centered Embedding.- Joint autoencoders: a flexible meta-learning framework.- Privacy Preserving Synthetic Data Release Using Deep Learning.- On Finer Control of Information Flow in LSTMs.- MaxGain: Regularisation of Neural Networks by Constraining Activation Magnitudes.- Ontology alignment based on word embedding and random forest classification.- Domain Adaption in One-Shot Learning.- Ensemble Methods.- Axiomatic Characterization of AdaBoost and the Multiplicative Weight Update Procedure.- Modular Dimensionality Reduction.- Constructive Aggregation and its Application to Forecasting with Dynamic Ensembles.- MetaBags: Bagged Meta-Decision Trees for Regression.- Evaluation.- Visualizing the Feature Importance for Black Box Models.- Efficient estimation of AUC in a sliding window.- Controlling and visualizing the precision-recall tradeoff for external performance indices.- Evaluation Procedures for Forecasting with Spatio-Temporal Data.- A Blended Metric for Multi-label Optimisation and Evaluation. … (more)
- Publisher Details:
- Cham, Switzerland : Springer
- Publication Date:
- 2019
- Extent:
- 1 online resource (xxxviii, 740 pages), illustrations (some color)
- Subjects:
- 006.3/1
Machine learning -- Congresses
Data mining -- Congresses
Electronic books - Languages:
- English
- ISBNs:
- 9783030109257
3030109259 - Related ISBNs:
- 9783030109240
- Notes:
- Note: Online resource; title from PDF title page (SpringerLink, viewed January 25, 2019).
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.383285
- Ingest File:
- 02_364.xml