default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
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 III. Lecture Notes in Computer Science 8726, Springer 2014, ISBN 978-3-662-44844-1
Main Track Contributions
- Tanwistha Saha, Huzefa Rangwala, Carlotta Domeniconi:
FLIP: Active Learning for Relational Network Classification. 1-18 - Hiroaki Sasaki, Aapo Hyvärinen
, Masashi Sugiyama:
Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density. 19-34 - Bruno Scherrer, Matthieu Geist:
Local Policy Search in a Convex Space and Conservative Policy Iteration as Boosted Policy Search. 35-50 - Olivier Schwander:
Code You Are Happy to Paste: An Algorithmic Dictionary of Exponential Families. 51-65 - Konstantinos Sechidis, Borja Calvo, Gavin Brown:
Statistical Hypothesis Testing in Positive Unlabelled Data. 66-81 - Bar Shalem, Yoram Bachrach, John Guiver, Christopher M. Bishop:
Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model. 82-97 - P. K. Srijith, Shirish K. Shevade:
Gaussian Process Multi-task Learning Using Joint Feature Selection. 98-113 - Julius Stecher, Frederik Janssen, Johannes Fürnkranz:
Separating Rule Refinement and Rule Selection Heuristics in Inductive Rule Learning. 114-129 - Karthik Subbian, Chidananda Sridhar, Charu C. Aggarwal, Jaideep Srivastava:
Scalable Information Flow Mining in Networks. 130-146 - Panagiotis Symeonidis, Christos Perentis:
Link Prediction in Multi-modal Social Networks. 147-162 - Nikolaj Tatti:
Faster Way to Agony - Discovering Hierarchies in Directed Graphs. 163-178 - Silas Garrido Teixeira de Carvalho Santos, Paulo Mauricio Gonçalves Júnior, Geyson Daniel dos Santos Silva, Roberto Souto Maior de Barros:
Speeding Up Recovery from Concept Drifts. 179-194 - Hasari Tosun, John W. Sheppard:
Training Restricted Boltzmann Machines with Overlapping Partitions. 195-208 - Sebastian Tschiatschek, Karin Paul, Franz Pernkopf:
Integer Bayesian Network Classifiers. 209-224 - Grigorios Tsoumakas, Eleftherios Spyromitros Xioufis, Aikaterini Vrekou, Ioannis P. Vlahavas:
Multi-target Regression via Random Linear Target Combinations. 225-240 - Grigorios Tzortzis, Aristidis Likas:
Ratio-Based Multiple Kernel Clustering. 241-257 - Deepak Venugopal, Vibhav Gogate:
Evidence-Based Clustering for Scalable Inference in Markov Logic. 258-273 - Kevin Vervier, Pierre Mahé, Alexandre d'Aspremont, Jean-Baptiste Veyrieras, Jean-Philippe Vert:
On Learning Matrices with Orthogonal Columns or Disjoint Supports. 274-289 - Chi Wang, Xueqing Liu, Yanglei Song, Jiawei Han:
Scalable Moment-Based Inference for Latent Dirichlet Allocation. 290-305 - De Wang, Feiping Nie, Heng Huang:
Unsupervised Feature Selection via Unified Trace Ratio Formulation and K-means Clustering (TRACK). 306-321 - Li Yao, Sherjil Ozair, KyungHyun Cho, Yoshua Bengio:
On the Equivalence between Deep NADE and Generative Stochastic Networks. 322-336 - Jiangtao Yin, Lixin Gao, Zhongfei (Mark) Zhang:
Scalable Nonnegative Matrix Factorization with Block-wise Updates. 337-352 - Guoqiang Zhang, Richard Heusdens:
Convergence of Min-Sum-Min Message-Passing for Quadratic Optimization. 353-368 - Kaiqi Zhao, Zhiyuan Cai, Qingyu Sui, Enxun Wei, Kenny Q. Zhu:
Clustering Image Search Results by Entity Disambiguation. 369-384 - Zheng Zhao, Jun Liu, James Cox:
Accelerating Model Selection with Safe Screening for L 1-Regularized L 2-SVM. 385-400 - Shuai Zheng, Chris H. Q. Ding:
Kernel Alignment Inspired Linear Discriminant Analysis. 401-416 - Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi:
Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders. 417-431
Demo Track Contributions
- Alexandros Arvanitidis, Anna Serafi, Athena Vakali, Grigorios Tsoumakas:
Branty: A Social Media Ranking Tool for Brands. 432-435 - Xihui Chen, Piotr Kordy, Ruipeng Lu, Jun Pang:
MinUS: Mining User Similarity with Trajectory Patterns. 436-439 - Luigi Di Caro, Livio Robaldo, Nicoletta Bersia:
KnowNow: A Serendipity-Based Educational Tool for Learning Time-Linked Knowledge. 440-443 - Bruno Guerraz, Marc Boullé, Dominique Gay, Fabrice Clérot:
Khiops CoViz: A Tool for Visual Exploratory Analysis of k-Coclustering Results. 444-447 - Ioannis Manousos Katakis, Iraklis Varlamis, George Tsatsaronis:
PYTHIA: Employing Lexical and Semantic Features for Sentiment Analysis. 448-451 - Joël Kuiper, Iain James Marshall, Byron C. Wallace, Morris A. Swertz:
Spá: A Web-Based Viewer for Text Mining in Evidence Based Medicine. 452-455 - Nada Lavrac, Matic Perovsek, Anze Vavpetic:
Propositionalization Online. 456-459 - Uli Niemann, Myra Spiliopoulou, Henry Völzke, Jens-Peter Kühn:
Interactive Medical Miner: Interactively Exploring Subpopulations in Epidemiological Datasets. 460-463 - Stefanos Ougiaroglou, Georgios Evangelidis:
WebDR: A Web Workbench for Data Reduction. 464-467 - Pavel Senin, Jessica Lin, Xing Wang, Tim Oates, Sunil Gandhi, Arnold P. Boedihardjo, Crystal Chen, Susan Frankenstein, Manfred Lerner:
GrammarViz 2.0: A Tool for Grammar-Based Pattern Discovery in Time Series. 468-472 - Bichen Shi, Georgiana Ifrim, Neil Hurley:
Insight4News: Connecting News to Relevant Social Conversations. 473-476 - Stephan Spiegel, David Schultz, Sahin Albayrak:
BestTime: Finding Representatives in Time Series Datasets. 477-480 - Andrey Tyukin, Stefan Kramer, Jörg Wicker:
BMaD - A Boolean Matrix Decomposition Framework. 481-484
Nectar Track Contributions
- Martin Atzmueller:
Analyzing and Grounding Social Interaction in Online and Offline Networks. 485-488 - Francesco Gullo, Giovanni Ponti, Andrea Tagarelli:
Be Certain of How-to before Mining Uncertain Data. 489-493 - Trong Nghia Hoang, Kian Hsiang Low, Patrick Jaillet, Mohan S. Kankanhalli:
Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes. 494-498 - Kian Hsiang Low, Nuo Xu, Jie Chen, Keng Kiat Lim, Etkin Baris Özgül:
Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization. 499-503 - Davide Nitti, Tinne De Laet, Luc De Raedt:
Distributional Clauses Particle Filter. 504-507 - Gianvito Pio, Michelangelo Ceci, Domenica D'Elia, Donato Malerba:
Network Reconstruction for the Identification of miRNA: mRNA Interaction Networks. 508-511 - Huzefa Rangwala, Anveshi Charuvaka, Zeehasham Rasheed:
Machine Learning Approaches for Metagenomics. 512-515 - Matteo Riondato:
Sampling-Based Data Mining Algorithms: Modern Techniques and Case Studies. 516-519 - François Schnitzler, Alexander Artikis, Matthias Weidlich, Ioannis Boutsis, Thomas Liebig, Nico Piatkowski, Christian Bockermann, Katharina Morik, Vana Kalogeraki, Jakub Marecek, Avigdor Gal, Shie Mannor, Dermot Kinane, Dimitrios Gunopulos:
Heterogeneous Stream Processing and Crowdsourcing for Traffic Monitoring: Highlights. 520-523 - Matthew E. Taylor, Lisa Torrey:
Agents Teaching Agents in Reinforcement Learning (Nectar Abstract). 524-528
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
last updated on 2025-01-06 23:27 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
