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ORCID18th PKDD / 25th ECML 2014: Nancy, France
- Toon Calders, Floriana Esposito, Eyke Hüllermeier, Rosa Meo:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I. Lecture Notes in Computer Science 8724, Springer 2014, ISBN 978-3-662-44847-2
Main Track Contributions
- Seyyed Abbas Hosseini
, Hamid R. Rabiee, Hassan Hafez, Ali Soltani-Farani:
Classifying a Stream of Infinite Concepts: A Bayesian Non-parametric Approach. 1-16 - Leman Akoglu, Rohit Khandekar, Vibhore Kumar, Srinivasan Parthasarathy, Deepak Rajan, Kun-Lung Wu:
Fast Nearest Neighbor Search on Large Time-Evolving Graphs. 17-33 - Mohsen Ali, Muhammad Rushdi, Jeffrey Ho:
Deconstructing Kernel Machines. 34-49 - Miguel Araujo, Stephan Günnemann, Gonzalo Mateos, Christos Faloutsos:
Beyond Blocks: Hyperbolic Community Detection. 50-65 - Orly Avner, Shie Mannor:
Concurrent Bandits and Cognitive Radio Networks. 66-81 - Suyash P. Awate, Yen-Yun Yu, Ross T. Whitaker:
Kernel Principal Geodesic Analysis. 82-98 - Lu Bai, Luca Rossi, Horst Bunke, Edwin R. Hancock:
Attributed Graph Kernels Using the Jensen-Tsallis q-Differences. 99-114 - Akram Baransi, Odalric-Ambrym Maillard, Shie Mannor:
Sub-sampling for Multi-armed Bandits. 115-131 - Jiang Bian, Bin Gao, Tie-Yan Liu:
Knowledge-Powered Deep Learning for Word Embedding. 132-148 - Brigitte Boden, Martin Ester, Thomas Seidl:
Density-Based Subspace Clustering in Heterogeneous Networks. 149-164 - Antoine Bordes, Jason Weston, Nicolas Usunier:
Open Question Answering with Weakly Supervised Embedding Models. 165-180 - Marc Boullé:
Towards Automatic Feature Construction for Supervised Classification. 181-196 - Jesús Cid-Sueiro, Dario García-García, Raúl Santos-Rodríguez:
Consistency of Losses for Learning from Weak Labels. 197-210 - Wenbin Cai, Ya Zhang, Siyuan Zhou, Wenquan Wang, Chris H. Q. Ding, Xiao Gu:
Active Learning for Support Vector Machines with Maximum Model Change. 211-226 - Laetitia Chapel, Chloé Friguet:
Anomaly Detection with Score Functions Based on the Reconstruction Error of the Kernel PCA. 227-241 - David Chatel, Pascal Denis, Marc Tommasi:
Fast Gaussian Pairwise Constrained Spectral Clustering. 242-257 - Gianni Costa, Giuseppe Manco, Riccardo Ortale:
A Generative Bayesian Model for Item and User Recommendation in Social Rating Networks with Trust Relationships. 258-273 - Nicolas Courty, Rémi Flamary, Devis Tuia:
Domain Adaptation with Regularized Optimal Transport. 274-289 - Xuan-Hong Dang, Ambuj K. Singh, Petko Bogdanov, Hongyuan You, Bayyuan Hsu:
Discriminative Subnetworks with Regularized Spectral Learning for Global-State Network Data. 290-306 - Yahel David, Nahum Shimkin:
Infinitely Many-Armed Bandits with Unknown Value Distribution. 307-322 - Sébastien Destercke, Gen Yang:
Cautious Ordinal Classification by Binary Decomposition. 323-337 - Jilles Steeve Dibangoye, Olivier Buffet, François Charpillet:
Error-Bounded Approximations for Infinite-Horizon Discounted Decentralized POMDPs. 338-353 - Lizhong Ding, Shizhong Liao:
Approximate Consistency: Towards Foundations of Approximate Kernel Selection. 354-369 - Brendan Andrew Duncan, Charles Elkan:
Nowcasting with Numerous Candidate Predictors. 370-385 - Flavio V. D. de Figueiredo, Jussara M. Almeida, Yasuko Matsubara, Bruno Ribeiro, Christos Faloutsos:
Revisit Behavior in Social Media: The Phoenix-R Model and Discoveries. 386-401 - Vojtech Franc:
FASOLE: Fast Algorithm for Structured Output LEarning. 402-417 - Kazuto Fukuchi, Jun Sakuma:
Neutralized Empirical Risk Minimization with Generalization Neutrality Bound. 418-433 - Alberto García-Durán, Antoine Bordes, Nicolas Usunier:
Effective Blending of Two and Three-way Interactions for Modeling Multi-relational Data. 434-449 - Oscar García Hinde, Emilio Parrado-Hernández, Vanessa Gómez-Verdejo, Manel Martínez-Ramón, Carles Soriano-Mas:
Automatic Design of Neuromarkers for OCD Characterization. 450-465 - Jochen Garcke, Thomas Vanck:
Importance Weighted Inductive Transfer Learning for Regression. 466-481 - Vicenç Gómez, Hilbert J. Kappen, Jan Peters, Gerhard Neumann:
Policy Search for Path Integral Control. 482-497 - Derek Greene, Derek O'Callaghan, Padraig Cunningham:
How Many Topics? Stability Analysis for Topic Models. 498-513 - Michael Großhans, Christoph Sawade, Tobias Scheffer, Niels Landwehr:
Joint Prediction of Topics in a URL Hierarchy. 514-529 - Çaglar Gülçehre, KyungHyun Cho, Razvan Pascanu, Yoshua Bengio:
Learned-Norm Pooling for Deep Feedforward and Recurrent Neural Networks. 530-546 - Blaise Hanczar, Michèle Sebag:
Combination of One-Class Support Vector Machines for Classification with Reject Option. 547-562 - Eric Heim, Hamed Valizadegan, Milos Hauskrecht:
Relative Comparison Kernel Learning with Auxiliary Kernels. 563-578 - Gao Huang, Shiji Song, Zhixiang Eddie Xu, Kilian Q. Weinberger:
Transductive Minimax Probability Machine. 579-594 - Bo Jiang, Chris H. Q. Ding, Bin Luo:
Covariate-Correlated Lasso for Feature Selection. 595-606 - Arnaud Joly, Pierre Geurts, Louis Wehenkel:
Random Forests with Random Projections of the Output Space for High Dimensional Multi-label Classification. 607-622 - Michael Kamp, Mario Boley, Daniel Keren, Assaf Schuster, Izchak Sharfman:
Communication-Efficient Distributed Online Prediction by Dynamic Model Synchronization. 623-639 - Dongyeop Kang, Youngja Park, Suresh Chari:
Hetero-Labeled LDA: A Partially Supervised Topic Model with Heterogeneous Labels. 640-655 - Suleiman A. Khan, Samuel Kaski:
Bayesian Multi-view Tensor Factorization. 656-671 - Jingu Kim, Taneli Mielikäinen:
Conditional Log-linear Models for Mobile Application Usage Prediction. 672-687 - Mijung Kim, K. Selçuk Candan:
Pushing-Down Tensor Decompositions over Unions to Promote Reuse of Materialized Decompositions. 688-704
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