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ORCID14th DS 2011: Espoo, Finland
- Tapio Elomaa, Jaakko Hollmén, Heikki Mannila:
Discovery Science - 14th International Conference, DS 2011, Espoo, Finland, October 5-7, 2011. Proceedings. Lecture Notes in Computer Science 6926, Springer 2011, ISBN 978-3-642-24476-6 - 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 R. 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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