Machine Learning and Knowledge Discovery in Databases European Conference ECML PKDD 2016 Riva del Garda Italy September 19 23 2016 Proceedings Part I 1st Edition by Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken ISBN 978-3319461281 3319461281

Machine Learning and Knowledge Discovery in Databases European Conference ECML PKDD 2016 Riva del Garda Italy September 19 23 2016 Proceedings Part I 1st Edition by Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken- Ebook PDF Instant Download/Delivery:  978-3319461281, 3319461281
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Product details: 

ISBN 10:  3319461281

ISBN 13: 978-3319461281

Author: Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken

Table of contents: 

1. adaQN: An Adaptive Quasi-Newton Algorithm for Training RNNs
   Nitish Shirish Keskar, Albert S. Berahas

2. Semi-supervised Tensor Factorization for Brain Network Analysis
   Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow

3. Scalable Hyperparameter Optimization with Products of Gaussian Process Experts
   Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme

4. Incremental Commute Time Using Random Walks and Online Anomaly Detection
   Nguyen Lu Dang Khoa, Sanjay Chawla

5. Online Density Estimation of Heterogeneous Data Streams in Higher Dimensions
   Michael Geilke, Andreas Karwath, Stefan Kramer

6. Graphical Model Sketch
   Branislav Kveton, Hung Bui, Mohammad Ghavamzadeh, Georgios Theocharous, S. Muthukrishnan, Siqi Sun

7. Laplacian Hamiltonian Monte Carlo
   Yizhe Zhang, Changyou Chen, Ricardo Henao, Lawrence Carin

8. Functional Bid Landscape Forecasting for Display Advertising
   Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu

9. Maximizing Time-Decaying Influence in Social Networks
   Naoto Ohsaka, Yutaro Yamaguchi, Naonori Kakimura, Ken-ichi Kawarabayashi

10. Learning Beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling
    Changying Du, Fuzhen Zhuang, Jia He, Qing He, Guoping Long

11. Efficient Bayesian Maximum Margin Multiple Kernel Learning
    Changying Du, Changde Du, Guoping Long, Xin Jin, Yucheng Li

12. Transactional Tree Mining
    Mostafa Haghir Chehreghani, Morteza Haghir Chehreghani

13. Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization
    Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme

14. Gaussian Process Pseudo-Likelihood Models for Sequence Labeling
    P. K. Srijith, P. Balamurugan, Shirish Shevade

15. Online Structure Learning Using Background Knowledge Axiomatization
    Evangelos Michelioudakis, Anastasios Skarlatidis, Georgios Paliouras, Alexander Artikis

16. Beyond the Boundaries of SMOTE
    Colin Bellinger, Christopher Drummond, Nathalie Japkowicz

17. M-Zoom: Fast Dense-Block Detection in Tensors with Quality Guarantees
    Kijung Shin, Bryan Hooi, Christos Faloutsos

18. Uncovering Locally Discriminative Structure for Feature Analysis
    Sen Wang, Feiping Nie, Xiaojun Chang, Xue Li, Quan Z. Sheng, Lina Yao

19. Multi-Objective Group Discovery on the Social Web
    (Không có tác giả trong dữ liệu đầu vào)

20. Sequential Data Classification in the Space of Liquid State Machines
    Yang Li, Junyuan Hong, Huanhuan Chen

21. Semigeometric Tiling of Event Sequences
    Andreas Henelius, Isak Karlsson, Panagiotis Papapetrou, Antti Ukkonen, Kai Puolamäki

22. Attribute Conjunction Learning with Recurrent Neural Network
    Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen

23. Efficient Discovery of Sets of Co-occurring Items in Event Sequences
    Boris Cule, Len Feremans, Bart Goethals

24. Collaborative Expert Recommendation for Community-Based Question Answering
    Congfu Xu, Xin Wang, Yunhui Guo

25. Link Prediction in Dynamic Networks Using Graphlet
    Mahmudur Rahman, Mohammad Al Hasan

26. CHADE: Metalearning with Classifier Chains for Dynamic Combination of Classifiers
    Fábio Pinto, Carlos Soares, João Mendes-Moreira

27. Aggregating Crowdsourced Ordinal Labels via Bayesian Clustering
    Xiawei Guo, James T. Kwok

28. Joint Learning of Entity Semantics and Relation Pattern for Relation Extraction
    Suncong Zheng, Jiaming Xu, Hongyun Bao, Zhenyu Qi, Jie Zhang, Hongwei Hao et al.

29. BASS: A Bootstrapping Approach for Aligning Heterogenous Social Networks
    Xuezhi Cao, Yong Yu

30. Multi-graph Clustering Based on Interior-Node Topology with Applications to Brain Networks
    Guixiang Ma, Lifang He, Bokai Cao, Jiawei Zhang, Philip S. Yu, Ann B. Ragin

31. Interactive Learning from Multiple Noisy Labels
    Shankar Vembu, Sandra Zilles

32. An Online Gibbs Sampler Algorithm for Hierarchical Dirichlet Processes Prior
    Yongdai Kim, Minwoo Chae, Kuhwan Jeong, Byungyup Kang, Hyoju Chung

33. Structure Pattern Analysis and Cascade Prediction in Social Networks
    Bolei Zhang, Zhuzhong Qian, Sanglu Lu

34. Graph-Margin Based Multi-label Feature Selection
    Peng Yan, Yun Li

35. Pure Exploration for Max-Quantile Bandits
    Yahel David, Nahum Shimkin

36. A Hybrid Knowledge Discovery Approach for Mining Predictive Biomarkers in Metabolomic Data
    Dhouha Grissa, Blandine Comte, Estelle Pujos-Guillot, Amedeo Napoli

37. Native Advertisement Selection and Allocation in Social Media Post Feeds
    Iordanis Koutsopoulos, Panagiotis Spentzouris

38. Asynchronous Feature Extraction for Large-Scale Linear Predictors
    Shin Matsushima

39. F-Measure Maximization in Multi-Label Classification with Conditionally Independent Label Subsets
    Maxime Gasse, Alex Aussem

40. Cost-Aware Early Classification of Time Series
    Romain Tavenard, Simon Malinowski

41. The Matrix Generalized Inverse Gaussian Distribution: Properties and Applications
    Farideh Fazayeli, Arindam Banerjee

42. On the Convergence of a Family of Robust Losses for Stochastic Gradient Descent
    Bo Han, Ivor W. Tsang, Ling Chen

43. Composite Denoising Autoencoders
    Krzysztof J. Geras, Charles Sutton

44. Trust Hole Identification in Signed Networks
    Jiawei Zhang, Qianyi Zhan, Lifang He, Charu C. Aggarwal, Philip S. Yu

45. Huber-Norm Regularization for Linear Prediction Models
    Oleksandr Zadorozhnyi, Gunthard Benecke, Stephan Mandt, Tobias Scheffer, Marius Kloft

46. Robust Dictionary Learning on the Hilbert Sphere in Kernel Feature Space
    Suyash P. Awate, Nishanth N. Koushik

47. Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy?
    Ibrahim Alabdulmohsin, Moustapha Cisse, Xiangliang Zhang

48. Stochastic CoSaMP: Randomizing Greedy Pursuit for Sparse Signal Recovery
    Dipan K. Pal, Ole J. Mengshoel

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Tags: Paolo Frasconi, Niels Landwehr, Giuseppe Manco, Jilles Vreeken, Machine Learning, Knowledge Discovery, European Conference