14. DS 2011: Espoo, Finland

• Yoshua Bengio, Olivier Delalleau:
  On the Expressive Power of Deep Architectures. 1
  
• Eyke Hüllermeier, Johannes Fürnkranz:
  Learning from Label Preferences. 2-17
  
• Ming Li:
  Information Distance and Its Extensions. 18-28
  
• Peter Auer, Shiau Hong Lim, Chris Watkins:
  Models for Autonomously Motivated Exploration in Reinforcement Learning. 29
  
• Jorma Rissanen:
  Optimal Estimation. 30
  
• Nicola Barile, Ad Feelders:
  Monotone Instance Ranking with mira. 31-45
  
• Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer:
  MOA-TweetReader: Real-Time Analysis in Twitter Streaming Data. 46-60
  
• Mathieu Blondel, Kazuhiro Seki, Kuniaki Uehara:
  Application of Semantic Kernels to Literature-Based Gene Function Annotation. 61-75
  
• Jeroen De Knijf, Anthony M. L. Liekens, Bart Goethals:
  "Tell Me More": Finding Related Items from User Provided Feedback. 76-90
  
• Dongsheng Duan, Yuhua Li, Ruixuan Li, Zhengding Lu, Aiming Wen:
  MEI: Mutual Enhanced Infinite Generative Model for Simultaneous Community and Topic Detection. 91-106
  
• Miha Grcar, Nada Lavrac:
  A Methodology for Mining Document-Enriched Heterogeneous Information Networks. 107-121
  
• Sami Hanhijärvi:
  Multiple Hypothesis Testing in Pattern Discovery. 122-134
  
• Hiroshi Hirai, Bin-Hui Chou, Einoshin Suzuki:
  A Parameter-Free Method for Discovering Generalized Clusters in a Network. 135-149
  
• Masahiro Kimura, Kazumi Saito, Kouzou Ohara, Hiroshi Motoda:
  Detecting Anti-majority Opinionists Using Value-Weighted Mixture Voter Model. 150-164
  
• Nada Lavrac, Anze Vavpetic, Larisa N. Soldatova, Igor Trajkovski, Petra Kralj Novak:
  Using Ontologies in Semantic Data Mining with SEGS and g-SEGS. 165-178
  
• Yannick Le Bras, Philippe Lenca, Stéphane Lallich:
  Mining Classification Rules without Support: an Anti-monotone Property of Jaccard Measure. 179-193
  
• Huma Lodhi, David Gilbert:
  Bootstrapping Parameter Estimation in Dynamic Systems. 194-208
  
• Jake T. Lussier, Nitesh V. Chawla:
  Network Effects on Tweeting. 209-220
  
• Oleksiy Mazhelis, Indre Zliobaite, Mykola Pechenizkiy:
  Context-Aware Personal Route Recognition. 221-235
  
• Masaya Nakahara, Shirou Maruyama, Tetsuji Kuboyama, Hiroshi Sakamoto:
  Scalable Detection of Frequent Substrings by Grammar-Based Compression. 236-246
  
• Giovanni Ponti, Andrea Tagarelli, George Karypis:
  A Statistical Model for Topically Segmented Documents. 247-261
  
• Mitja Pugelj, Saso Dzeroski:
  Predicting Structured Outputs k-Nearest Neighbours Method. 262-276
  
• Jana Schmidt, Stefan Kramer:
  The Augmented Itemset Tree: A Data Structure for Online Maximum Frequent Pattern Mining. 277-291
  
• Christin Seifert, Eva Ulbrich, Michael Granitzer:
  Word Clouds for Efficient Document Labeling. 292-306
  
• Daniela Stojanova, Michelangelo Ceci, Annalisa Appice, Donato Malerba, Saso Dzeroski:
  Global and Local Spatial Autocorrelation in Predictive Clustering Trees. 307-322
  
• Jan-Nikolas Sulzmann, Johannes Fürnkranz:
  Rule Stacking: An Approach for Compressing an Ensemble of Rule Sets into a Single Classifier. 323-334
  
• Yuta Taniguchi, Daisuke Ikeda:
  Graph Clustering Based on Optimization of a Macroscopic Structure of Clusters. 335-350
  
• Henna Tiensuu, Ilmari Juutilainen, Juha Röning:
  Modeling the Temperature of Hot Rolled Steel Plate with Semi-supervised Learning Methods. 351-364
  
• Indre Zliobaite:
  Controlled Permutations for Testing Adaptive Classifiers. 365-379
  

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