Supervised Learning: Active, Ensemble, Rare-Class and Online

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  Ryan A. Rossi, Jennifer Neville: Time-Evolving Relational Classification and Ensemble Methods. 1-13
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  Xiao Li, Da Kuang, Charles X. Ling: Active Learning for Hierarchical Text Classification. 14-25
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  Colin DeLong, Jaideep Srivastava: TeamSkill Evolved: Mixed Classification Schemes for Team-Based Multi-player Games. 26-37
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  Ratnadip Adhikari, R. K. Agrawal: A Novel Weighted Ensemble Technique for Time Series Forecasting. 38-49
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  Houssam Salem, Pramuditha Suraweera, Geoffrey I. Webb, Janice R. Boughton: Techniques for Efficient Learning without Search. 50-61
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  JuiHsi Fu, SingLing Lee: An Aggressive Margin-Based Algorithm for Incremental Learning. 62-73
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  Tam T. Nguyen, Kuiyu Chang, Siu Cheung Hui: Two-View Online Learning. 74-85
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  Zhihua Liao, Zili Zhang: A Generic Classifier-Ensemble Approach for Biomedical Named Entity Recognition. 86-97
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  Djamel Abdelkader Zighed, Diala Ezzeddine, Fabien Rico: Neighborhood Random Classification. 98-108
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  Katsiaryna Mirylenka, George Giannakopoulos, Themis Palpanas: SRF: A Framework for the Study of Classifier Behavior under Training Set Mislabeling Noise. 109-121
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  T. Ryan Hoens, Qi Qian, Nitesh V. Chawla, Zhi-Hua Zhou: Building Decision Trees for the Multi-class Imbalance Problem. 122-134
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  Bingguo Li, Xiaojun Chen, Mark Junjie Li, Joshua Zhexue Huang, Shengzhong Feng: Scalable Random Forests for Massive Data. 135-146
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  Baoxun Xu, Joshua Zhexue Huang, Graham J. Williams, Mark Junjie Li, Yunming Ye: Hybrid Random Forests: Advantages of Mixed Trees in Classifying Text Data. 147-158
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  Bin Fu, Zhihai Wang, Rong Pan, Guandong Xu, Peter Dolog: Learning Tree Structure of Label Dependency for Multi-label Learning. 159-170
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  Zhichun Fu, Jun Zhou, Peter Christen, Mac Boot: Multiple Instance Learning for Group Record Linkage. 171-182
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  Yasuyuki Shirai, Koji Tsuruma, Yuko Sakurai, Satoshi Oyama, Shin-ichi Minato: Incremental Set Recommendation Based on Class Differences. 183-194
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  Yue Liu, Lin Dai, Weitao Zhou, Heyan Huang: Active Learning for Cross Language Text Categorization. 195-206
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  Han Xiao, Thomas Stibor, Claudia Eckert: Evasion Attack of Multi-class Linear Classifiers. 207-218
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  Da Kuang, Charles X. Ling, Jun Du: Foundation of Mining Class-Imbalanced Data. 219-230
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  Eileen A. Ni, Charles X. Ling: Active Learning with c-Certainty. 231-242
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  Meng-Sung Wu, Hsin-Min Wang: A Term Association Translation Model for Naive Bayes Text Classification. 243-253
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  Chongsheng Zhang, Paolo Soda: A Double-Ensemble Approach for Classifying Skewed Data Streams. 254-265
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  Youngja Park, Zijie Qi, Suresh Chari, Ian Molloy: Generating Balanced Classifier-Independent Training Samples from Unlabeled Data. 266-281
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  Li-Zhong Ding, Shizhong Liao: Nyström Approximate Model Selection for LSSVM. 282-293
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  Noor Alaydie, Chandan K. Reddy, Farshad Fotouhi: Exploiting Label Dependency for Hierarchical Multi-label Classification. 294-305
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  Nida Meddouri, Hela Khoufi, Mondher Maddouri: Diversity Analysis on Boosting Nominal Concepts. 306-317
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  Fan Xin, Zubin Abraham: Extreme Value Prediction for Zero-Inflated Data. 318-329
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  Hang Su, Jie Tang, Wanling Hong: Learning to Diversify Expert Finding with Subtopics. 330-341
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  Metanat HooshSadat, Osmar R. Zaïane: An Associative Classifier for Uncertain Datasets. 342-353

Unsupervised Learning: Clustering, Probabilistic Modeling

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  Ken-ichi Fukui, Masayuki Numao: Neighborhood-Based Smoothing of External Cluster Validity Measures. 354-365
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  Young-Seob Jeong, Ho-Jin Choi: Sequential Entity Group Topic Model for Getting Topic Flows of Entity Groups within One Document. 366-378
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  Djamel Abdelkader Zighed, Rafik Abdesselam, Asmelash Hadgu: Topological Comparisons of Proximity Measures. 379-391
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  Wenjuan Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi: Quad-tuple PLSA: Incorporating Entity and Its Rating in Aspect Identification. 392-404
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  Xianmang He, HuaHui Chen, Yefang Chen, Yihong Dong, Peng Wang, Zhenhua Huang: Clustering-Based k-Anonymity. 405-417
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  Jun Gao, Weiming Hu, Zhongfei (Mark) Zhang, Ou Wu: Unsupervised Ensemble Learning for Mining Top-n Outliers. 418-430
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  Kuifei Yu, Baoxian Zhang, Hengshu Zhu, Huanhuan Cao, Jilei Tian: Towards Personalized Context-Aware Recommendation by Mining Context Logs through Topic Models. 431-443
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  Hardy Kremer, Stephan Günnemann, Arne Held, Thomas Seidl: Mining of Temporal Coherent Subspace Clusters in Multivariate Time Series Databases. 444-455
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  Kan Li, Yin Pang: A Vertex Similarity Probability Model for Finding Network Community Structure. 456-467
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  Djallel Bouneffouf, Amel Bouzeghoub, Alda Lopes Gançarski: Hybrid-ε-greedy for Mobile Context-Aware Recommender System. 468-479
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  Xiaohui Tao, Yuefeng Li, Raymond Y. K. Lau, Hua Wang: Unsupervised Multi-label Text Classification Using a World Knowledge Ontology. 480-492
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  Dong-mei Yang, Hui Zheng, Jikun Yan, Ye Jin: Semantic Social Network Analysis with Text Corpora. 493-504
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  Yang Xiang, David Fuhry, Ruoming Jin, Ye Zhao, Kun Huang: Visualizing Clusters in Parallel Coordinates for Visual Knowledge Discovery. 505-516
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  Pu Wang, Carlotta Domeniconi, Huzefa Rangwala, Kathryn B. Laskey: Feature Enriched Nonparametric Bayesian Co-clustering. 517-529
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  Warissara Meesrikamolkul, Vit Niennattrakul, Chotirat Ann Ratanamahatana: Shape-Based Clustering for Time Series Data. 530-541
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  Bin Yang, Issei Sato, Hiroshi Nakagawa: Privacy-Preserving EM Algorithm for Clustering on Social Network. 542-553
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  Vassilis Plachouras, Matthieu Rivière, Michalis Vazirgiannis: Named Entity Recognition and Identification for Finding the Owner of a Home Page. 554-565
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  Malik Tahir Hassan, Asim Karim: Clustering and Understanding Documents via Discrimination Information Maximization. 566-577
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  Maria Halkidi, Myra Spiliopoulou, Aikaterini Pavlou: A Semi-supervised Incremental Clustering Algorithm for Streaming Data. 578-590
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  Anastasios Zouzias, Michail Vlachos, Nikolaos M. Freris: Unsupervised Sparse Matrix Co-clustering for Marketing and Sales Intelligence. 591-603
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  Bin Wang, Mohammadreza Rahimi, Dequan Zhou, Xin Wang: Expectation-Maximization Collaborative Filtering with Explicit and Implicit Feedback. 604-616

last updated on Tue May 21 02:22:49 2013 by the dblp team
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