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ORCID7. MLDM 2011: New York, NY, USA
- Petra Perner:
Machine Learning and Data Mining in Pattern Recognition - 7th International Conference, MLDM 2011, New York, NY, USA, August 30 - September 3, 2011. Proceedings. Lecture Notes in Computer Science 6871, Springer 2011, ISBN 978-3-642-23198-8
Classification and Decision Theory
- Tatsuya Yokota, Yukihiko Yamashita:
Quadratically Constrained Maximum a Posteriori Estimation for Binary Classifier. 1-15 - Nenad Tomasev
, Milos Radovanovic, Dunja Mladenic, Mirjana Ivanovic:
Hubness-Based Fuzzy Measures for High-Dimensional k-Nearest Neighbor Classification. 16-30 - Antonina Danylenko, Jonas Lundberg, Welf Löwe:
Decisions: Algebra and Implementation. 31-45 - Alexander Y. Liu, Cheryl E. Martin:
Smoothing Multinomial Naïve Bayes in the Presence of Imbalance. 46-59 - Liyun Li, Umut Topkara, Nasir D. Memon:
ACE-Cost: Acquisition Cost Efficient Classifier by Hybrid Decision Tree with Local SVM Leaves. 60-74 - Dhafer Lahbib, Marc Boullé, Dominique Laurent:
Informative Variables Selection for Multi-relational Supervised Learning. 75-87 - Krzysztof Grabczewski:
Separability of Split Value Criterion with Weighted Separation Gains. 88-98 - Sharifah Sakinah Syed Ahmad, Witold Pedrycz:
Granular Instances Selection for Fuzzy Modeling. 99-111 - Shu Wu, Shengrui Wang:
Parameter-Free Anomaly Detection for Categorical Data. 112-126 - Houda Benbrahim:
Fuzzy Semi-supervised Support Vector Machines. 127-139 - Mondelle Simeon, Robert J. Hilderman:
GENCCS: A Correlated Group Difference Approach to Contrast Set Mining. 140-154 - Zehra Cataltepe, Abdullah Sonmez, Kadriye Baglioglu, Ayse Erzan:
Collective Classification Using Heterogeneous Classifiers. 155-169 - Dalton D. Lunga, Okan K. Ersoy:
Spherical Nearest Neighbor Classification: Application to Hyperspectral Data. 170-184 - Tao Xu, Iker Gondra, David K. Y. Chiu:
Adaptive Kernel Diverse Density Estimate for Multiple Instance Learning. 185-198 - Victor S. Sheng, Rahul Tada:
Boosting Inspired Process for Improving AUC. 199-209
Theory of Learning
- Luiz Antonio Celiberto Jr., Jackson Paul Matsuura:
Investigation in Transfer Learning: Better Way to Apply Transfer Learning between Agents. 210-223 - John R. Sullins:
Exploration Strategies for Learned Probabilities in Smart Terrain. 224-238 - Jamshaid G. Mohebzada, Michael M. Richter, Günther Ruhe:
Sensitivity Analysis for Weak Constraint Generation. 239-252 - Jin Xu, Hong Man:
Dictionary Learning Based on Laplacian Score in Sparse Coding. 253-264
Clustering
- Mohamed Bouguessa:
A Practical Approach for Clustering Transaction Data. 265-279 - Helena Aidos, Ana L. N. Fred:
Hierarchical Clustering with High Order Dissimilarities. 280-293 - Amina Madani, Omar Boussaid, Djamel Eddine Zegour:
Clust-XPaths: Clustering of XML Paths. 294-305 - Elio Lozano, Edgar Acuña:
Comparing Clustering and Metaclustering Algorithms. 306-319
Applications in Medicine
- Dragana Veljkovic Perez, Kay A. Robbins:
Detection of Phenotypes in Microarray Data Using Force- Directed Placement Transformss. 320-334 - Bashar Awwad Shiekh Hasan:
On the Temporal Behavior of EEG Recorded during Real Finger Movement. 335-347 - Douglas A. Talbert, Matt Honeycutt, Steve Talbert:
A Machine Learning and Data Mining Framework to Enable Evolutionary Improvement in Trauma Triage. 348-361 - Weronika Piatkowska, Jerzy Martyna, Leszek Nowak, Karol Przystalski:
A Decision Support System Based on the Semantic Analysis of Melanoma Images Using Multi-elitist PSO and SVM. 362-374
WebMining/Information Mining
- Xiaoling Chen, Peng Hao, Rajarathnam Chandramouli, K. P. Subbalakshmi:
Authorship Similarity Detection from Email Messages. 375-386 - Matias Garcia-Constantino, Frans Coenen, P.-J. Noble, Alan D. Radford, Christian Setzkorn, Aine Tierney:
An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data. 387-398 - Henry Joutsijoki, Martti Juhola:
Comparing the One-vs-One and One-vs-All Methods in Benthic Macroinvertebrate Image Classification. 399-413 - Ayesh Alshukri, Frans Coenen, Michele Zito:
Incremental Web-Site Boundary Detection Using Random Walks. 414-427 - Minhua Huang, Robert M. Haralick:
Discovering Text Patterns by a New Graphic Model. 428-442 - Yu Jiang, Weiyi Meng, Clement T. Yu:
Topic Sentiment Change Analysis. 443-457 - Peng Hao, Xiaoling Chen, Na Cheng, Rajarathnam Chandramouli, K. P. Subbalakshmi:
Adaptive Context Modeling for Deception Detection in Emails. 458-468 - Aixiang Li, Makoto Haraguchi, Yoshiaki Okubo:
Contrasting Correlations by an Efficient Double-Clique Condition. 469-483
Machine Learning and Image Mining
- Dingding Liu, Yingen Xiong, Kari Pulli, Linda G. Shapiro:
Estimating Image Segmentation Difficulty. 484-495 - Chun-Sheng Chen, Christoph F. Eick, Nouhad J. Rizk:
Mining Spatial Trajectories Using Non-parametric Density Functions. 496-510 - José Salvador Sánchez, Vicente García, Ramón Alberto Mollineda:
Exploring Synergetic Effects of Dimensionality Reduction and Resampling Tools on Hyperspectral Imagery Data Classification. 511-523 - Anja Attig, Petra Perner:
A Comparison between Haralick's Texture Descriptor and the Texture Descriptor Based on Random Sets for Biological Images. 524-538
Time Series and Frequent Item Set Mining
- Tom Armstrong, Eric Drewniak:
Unsupervised Discovery of Motifs under Amplitude Scaling and Shifting in Time Series Databases. 539-552 - Robert Kessl:
Static Load Balancing of Parallel Mining of Frequent Itemsets Using Reservoir Sampling. 553-567 - Ismail Günes, Zehra Çataltepe, Sule Gündüz Ögüdücü:
GA-TVRC: A Novel Relational Time Varying Classifier to Extract Temporal Information Using Genetic Algorithms. 568-583
Aspects of Machine Learning and Data Mining
- Tanwistha Saha, Carlotta Domeniconi, Huzefa Rangwala:
Detection of Communities and Bridges in Weighted Networks. 584-598 - Robert Adolf, David Haglin, Mahantesh Halappanavar, Yousu Chen, Zhenyu Huang:
Techniques for Improving Filters in Power Grid Contingency Analysis. 599-611
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