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19th PKDD / 26th ECML 2015: Porto, Portugal
- Annalisa Appice, Pedro Pereira Rodrigues
, Vítor Santos Costa
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. Lecture Notes in Computer Science 9285, Springer 2015, ISBN 978-3-319-23524-0
Matrix and Tensor Analysis
- Nipa Chowdhury, Xiongcai Cai, Cheng Luo:
BoostMF: Boosted Matrix Factorisation for Collaborative Ranking. 3-18 - Mathieu Blondel, Akinori Fujino, Naonori Ueda:
Convex Factorization Machines. 19-35 - Pauli Miettinen
Generalized Matrix Factorizations as a Unifying Framework for Pattern Set Mining: Complexity Beyond Blocks. 36-52 - Changwei Hu, Piyush Rai, Changyou Chen, Matthew Harding, Lawrence Carin
Scalable Bayesian Non-negative Tensor Factorization for Massive Count Data. 53-70 - Van-Tinh Tran, Alex Aussem:
A Practical Approach to Reduce the Learning Bias Under Covariate Shift. 71-86 - Nicolas Schilling, Martin Wistuba, Lucas Drumond, Lars Schmidt-Thieme
Hyperparameter Optimization with Factorized Multilayer Perceptrons. 87-103 - Martin Wistuba, Nicolas Schilling, Lars Schmidt-Thieme
Hyperparameter Search Space Pruning - A New Component for Sequential Model-Based Hyperparameter Optimization. 104-119 - Niloofar Yousefi, Michael Georgiopoulos, Georgios C. Anagnostopoulos:
Multi-Task Learning with Group-Specific Feature Space Sharing. 120-136 - Marina M.-C. Vidovic, Nico Görnitz, Klaus-Robert Müller
Opening the Black Box: Revealing Interpretable Sequence Motifs in Kernel-Based Learning Algorithms. 137-153
Pattern and Sequence Mining
- Aleksey Buzmakov, Sergei O. Kuznetsov
Fast Generation of Best Interval Patterns for Nonmonotonic Constraints. 157-172 - Hoang Vu Nguyen, Jilles Vreeken
Non-parametric Jensen-Shannon Divergence. 173-189 - Nicolas Méger, Christophe Rigotti, Catherine Pothier
Swap Randomization of Bases of Sequences for Mining Satellite Image Times Series. 190-205 - Kailash Budhathoki, Jilles Vreeken
The Difference and the Norm - Characterising Similarities and Differences Between Databases. 206-223
Preference Learning and Label Ranking
- Dirk Schäfer, Eyke Hüllermeier:
Dyad Ranking Using A Bilinear Plackett-Luce Model. 227-242 - Sebastian Pölsterl
Fast Training of Support Vector Machines for Survival Analysis. 243-259 - Eyke Hüllermeier, Weiwei Cheng:
Superset Learning Based on Generalized Loss Minimization. 260-275
Probabilistic, Statistical, and Graphical Approaches
- Tom Diethe
Bayesian Modelling of the Temporal Aspects of Smart Home Activity with Circular Statistics. 279-294 - Christian Knoll, Michael Rath, Sebastian Tschiatschek, Franz Pernkopf
Message Scheduling Methods for Belief Propagation. 295-310 - David Tolpin
Output-Sensitive Adaptive Metropolis-Hastings for Probabilistic Programs. 311-326 - Davide Nitti, Vaishak Belle, Luc De Raedt
Planning in Discrete and Continuous Markov Decision Processes by Probabilistic Programming. 327-342 - Antonio Vergari
Simplifying, Regularizing and Strengthening Sum-Product Network Structure Learning. 343-358 - Sotirios P. Chatzis:
Sparse Bayesian Recurrent Neural Networks. 359-372 - Ehsan Shareghi, Gholamreza Haffari, Trevor Cohn, Ann E. Nicholson
Structured Prediction of Sequences and Trees Using Infinite Contexts. 373-389 - Evgeniy Bart, Bob Price, John Hanley:
Temporally Coherent Role-Topic Models (TCRTM): Deinterlacing Overlapping Activity Patterns. 390-405 - Eric Malmi, Arno Solin
The Blind Leading the Blind: Network-Based Location Estimation Under Uncertainty. 406-421 - Sascha Henzgen, Eyke Hüllermeier:
Weighted Rank Correlation: A Flexible Approach Based on Fuzzy Order Relations. 422-437
Rich Data
- Debakar Shamanta, Sheikh Motahar Naim, Parang Saraf, Naren Ramakrishnan
Concurrent Inference of Topic Models and Distributed Vector Representations. 441-457 - Rina Okada, Kazuto Fukuchi, Jun Sakuma:
Differentially Private Analysis of Outliers. 458-473 - Yuxiao Dong, Fabio Pinelli
Inferring Unusual Crowd Events from Mobile Phone Call Detail Records. 474-492 - Guillaume Cleuziou, Gaël Dias:
Learning Pretopological Spaces for Lexical Taxonomy Acquisition. 493-508 - Adolfo Martínez Usó
Multidimensional Prediction Models When the Resolution Context Changes. 509-524 - Min Xiao, Yuhong Guo:
Semi-supervised Subspace Co-Projection for Multi-class Heterogeneous Domain Adaptation. 525-540 - Haixia Liu, James Goulding, Tim J. Brailsford:
Towards Computation of Novel Ideas from Corpora of Scientific Text. 541-556
Social and Graphs
- Shuyang Lin, Qingbo Hu, Jingyuan Zhang, Philip S. Yu:
Discovering Audience Groups and Group-Specific Influencers. 559-575 - Hsun-Ping Hsieh
Estimating Potential Customers Anywhere and Anytime Based on Location-Based Social Networks. 576-592 - Qingming Tang, Chao Yang, Jian Peng, Jinbo Xu:
Exact Hybrid Covariance Thresholding for Joint Graphical Lasso. 593-607 - Chao Zhang
Fast Inbound Top-K Query for Random Walk with Restart. 608-624 - Matt Revelle, Carlotta Domeniconi, Mack Sweeney, Aditya Johri:
Finding Community Topics and Membership in Graphs. 625-640 - Vinay Jethava
Finding Dense Subgraphs in Relational Graphs. 641-654 - Mohadeseh Ganji, Abbas Seifi, Hosein Alizadeh, James Bailey, Peter J. Stuckey:
Generalized Modularity for Community Detection. 655-670 - Benjamin Fish, Rajmonda Sulo Caceres
Handling Oversampling in Dynamic Networks Using Link Prediction. 671-686 - Xiao Bian, Xia Ning, Geoff Jiang:
Hierarchical Sparse Dictionary Learning. 687-700 - Duc Minh Luu, Ee-Peng Lim
Latent Factors Meet Homophily in Diffusion Modelling. 701-718 - Rohit Kumar
Maintaining Sliding-Window Neighborhood Profiles in Interaction Networks. 719-735 - Gonzalo A. Bello, Michael P. Angus, Navya Pedemane, Jitendra K. Harlalka, Fredrick H. M. Semazzi, Vipin Kumar, Nagiza F. Samatova:
Response-Guided Community Detection: Application to Climate Index Discovery. 736-751 - Shi Zhi, Jiawei Han, Quanquan Gu:
Robust Classification of Information Networks by Consistent Graph Learning. 752-767
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