Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I /
| Autor Corporativo: | |
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| Otros Autores: | , , , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Cham :
Springer International Publishing : Imprint: Springer,
2017.
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| Edición: | 1st ed. 2017. |
| Colección: | Lecture Notes in Artificial Intelligence ;
10534 |
| Materias: |
Tabla de Contenidos:
- Anomaly Detection
- Concentration Free Outlier Detection
- Efficient top rank optimization with gradient boosting for supervised anomaly detection
- Robust, Deep and Inductive Anomaly Detection
- Sentiment Informed Cyberbullying Detection in Social Media
- zooRank: Ranking Suspicious Activities in Time-Evolving Tensors
- Computer Vision
- Alternative Semantic Representations for Zero-Shot Human Action Recognition
- Early Active Learning with Pairwise Constraint for Person Re-identification
- Guiding InfoGAN with Semi-Supervision
- Scatteract: Automated extraction of data from scatter plots
- Unsupervised Diverse Colorization via Generative Adversarial Networks
- Ensembles and Meta Learning
- Dynamic Ensemble Selection with Probabilistic Classifier Chains
- Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks
- Fast and Accurate Density Estimation with Extremely Randomized Cutset Networks
- Feature Selection and Extraction
- Deep Discrete Hashing with Self-supervised Labels
- Including multi-feature interactions and redundancy for feature ranking in mixed datasets
- Non-redundant Spectral Dimensionality Reduction
- Rethinking Unsupervised Feature Selection: From Pseudo Labels to Pseudo Must-links
- SetExpan: Corpus-based Set Expansion via Context Feature Selection and Rank Ensemble
- Kernel Methods
- Bayesian Nonlinear Support Vector Machines for Big Data
- Entropic Trace Estimation for Log Determinants
- Fair Kernel Learning
- GaKCo: a Fast Gapped k-mer string Kernel using Counting
- Graph Enhanced Memory Networks for Sentiment Analysis
- Kernel Sequential Monte Carlo
- Learning Lukasiewicz Logic Fragments by Quadratic Programming
- Nystrom sketching
- Learning and Optimization
- Crossprop: learning representations by stochastic meta-gradient descent in neural networks
- Distributed Stochastic Optimization of the Regularized Risk via Saddle-point Problem
- Speeding up Hyper-parameter Optimization by Extrapolation of Learning Curves using Previous Builds
- Matrix and Tensor Factorization
- Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation
- Content-Based Social Recommendation with Poisson Matrix Factorization
- C-SALT: Mining Class-Speci_c ALTerations in Boolean Matrix Factorization
- Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition
- Structurally Regularized Non-negative Tensor Factorization for Spatio-temporal Pattern Discoveries
- Networks and Graphs
- Attributed Graph Clustering with Unimodal Normalized Cut
- K-clique-graphs for Dense Subgraph Discovery
- Learning and Scaling Directed Networks via Graph Embedding
- Local Lanczos Spectral Approximation for Membership Identification
- Regularizing Knowledge Graph Embeddings via Equivalence and Inversion Axioms
- Survival Factorization for Topical Cascades on Diffusion Networks
- The network-untangling problem: From interactions to activity timelines.-TransT: Type-based Multiple Embedding Representations for Knowledge Graph Completion
- Neural Networks and Deep Learning
- A network Architecture for Multi-multi Instance Learning
- CON-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec
- Deep Over-sampling Framework for Classifying Imbalanced Data
- FCNNs: Fourier Convolutional Neural Networks
- Joint User Modeling across Aligned Heterogeneous Sites using Neural Networks
- Sequence Generation with Target Attention
- Wikipedia Vandal Early Detection: from User Behavior to User Embedding. .