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Publication search results
found 41 matches
- 2009
- Annalisa Appice, Michelangelo Ceci, Donato Malerba:
An Iterative Learning Algorithm for Within-Network Regression in the Transductive Setting. Discovery Science 2009: 36-50 - James Bentham, David J. Hand:
Detecting New Kinds of Patient Safety Incidents. Discovery Science 2009: 51-65 - Mario Boley, Thomas Gärtner:
On the Complexity of Constraint-Based Theory Extraction. Discovery Science 2009: 92-106 - Paulo Cortez, Juliana Teixeira, António Cerdeira, Fernando Almeida, Telmo Matos, José Reis:
Using Data Mining for Wine Quality Assessment. Discovery Science 2009: 66-79 - Sanjoy Dasgupta:
The Two Faces of Active Learning. Discovery Science 2009: 35 - Kang Deng, Osmar R. Zaïane:
Contrasting Sequence Groups by Emerging Sequences. Discovery Science 2009: 377-384 - Yasser El-Manzalawy, Vasant G. Honavar:
MICCLLR: Multiple-Instance Learning Using Class Conditional Log Likelihood Ratio. Discovery Science 2009: 80-91 - Fabio Fumarola, Anna Ciampi, Annalisa Appice, Donato Malerba:
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams. Discovery Science 2009: 385-392 - Hector Geffner:
Inference and Learning in Planning (Extended Abstract). Discovery Science 2009: 1-12 - Jorge Gonzalo-Alonso, Paloma de Juan, Elena Garcí-a-Hortelano, Carlos Angel Iglesias:
A Hybrid Collaborative Filtering System for Contextual Recommendations in Social Networks. Discovery Science 2009: 393-400 - Jiawei Han:
Mining Heterogeneous Information Networks by Exploring the Power of Links. Discovery Science 2009: 13-30 - Sherri K. Harms, Tsegaye Tadesse, Brian D. Wardlow:
Algorithm and Feature Selection for VegOut: A Vegetation Condition Prediction Tool. Discovery Science 2009: 107-120 - Kohei Hatano, Eiji Takimoto:
Linear Programming Boosting by Column and Row Generation. Discovery Science 2009: 401-408 - Cédric Herpson, Vincent Corruble:
Discovering Abstract Concepts to Aid Cross-Map Transfer for a Learning Agent. Discovery Science 2009: 409-416 - Elena Ikonomovska, João Gama, Raquel Sebastião, Dejan Gjorgjevikj:
Regression Trees from Data Streams with Drift Detection. Discovery Science 2009: 121-135 - Takashi Katoh, Hiroki Arimura, Kouichi Hirata:
Mining Frequent Bipartite Episode from Event Sequences. Discovery Science 2009: 136-151 - Min-Soo Kim, Jiawei Han:
CHRONICLE: A Two-Stage Density-Based Clustering Algorithm for Dynamic Networks. Discovery Science 2009: 152-167 - Huma Lodhi, Stephen H. Muggleton, Michael J. E. Sternberg:
Learning Large Margin First Order Decision Lists for Multi-Class Classification. Discovery Science 2009: 168-183 - Yishay Mansour:
Learning and Domain Adaptation. Discovery Science 2009: 32-34 - Eric Martin, Jean Sallantin:
A Dialectic Approach to Problem-Solving. Discovery Science 2009: 417-424 - Olana Missura, Thomas Gärtner:
Player Modeling for Intelligent Difficulty Adjustment. Discovery Science 2009: 197-211 - Robson Motta, Alneu de Andrade Lopes, Maria Cristina Ferreira de Oliveira:
Centrality Measures from Complex Networks in Active Learning. Discovery Science 2009: 184-196 - Susana Nascimento, Pedro Franco:
Unsupervised Fuzzy Clustering for the Segmentation and Annotation of Upwelling Regions in Sea Surface Temperature Images. Discovery Science 2009: 212-226 - Dinh Anh Nguyen, Koichiro Doi, Akihiro Yamamoto:
Discovering the Structures of Open Source Programs from Their Developer Mailing Lists. Discovery Science 2009: 227-241 - Günce Keziban Orman, Vincent Labatut:
A Comparison of Community Detection Algorithms on Artificial Networks. Discovery Science 2009: 242-256 - Pance Panov, Larisa N. Soldatova, Saso Dzeroski:
Towards an Ontology of Data Mining Investigations. Discovery Science 2009: 257-271 - Fernando C. N. Pereira:
Learning on the Web. Discovery Science 2009: 31 - Amparo Ruiz-Sepúlveda, José Luis Triviño-Rodriguez, Rafael Morales Bueno:
Computing a Comprehensible Model for Spam Filtering. Discovery Science 2009: 457-464 - Carlos Ruiz, Ernestina Menasalvas Ruiz, Myra Spiliopoulou:
C-DenStream: Using Domain Knowledge on a Data Stream. Discovery Science 2009: 287-301 - Kazumi Saito, Masahiro Kimura, Hiroshi Motoda:
Discovering Influential Nodes for SIS Models in Social Networks. Discovery Science 2009: 302-316
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