You are here

Publications

  1. S. Veeramachaneni; E. Olivetti; P. Avesani,
    Active Feature Sampling for Low Cost Feature Evaluation,
    The general approach for automatically driving data collection using information from previously acquired data is called active learning. The traditional active learning paradigm addresses the problem of choosing the unlabeled examples for which the class labels are queried with the goal of learning a classifier. In contrast we address the problem of active feature sampling for cost-constrained feature selection. We propose a strategy that actively samples the values of new features on class-labeled examples, with the objective of interleaving the acquisition of feature values and the assessment of feature relevance. We derive a novel active feature sampling algorithm from an information theoretic and statistical formulation of the problem. We present experimental results on synthetic, UCI and real world datasets to demonstrate that our active sampling algorithm can provide accurate estimates of feature relevance with significantly lower data acquisition costs than random sampling and other previously proposed sampling algorithms,
    2005
  2. A. Micheli; D. Sona; A. Sperduti,
    Contextual Processing of Structured Data by Recursive Cascade Correlation,
    in «IEEE TRANSACTIONS ON NEURAL NETWORKS»,
    vol. 15,
    n. 6,
    2004
    , pp. 1396 -
    1410
  3. Sriharsha Veeramachaneni; George Nagy,
    Adaptive Classifiers for Multisource OCR,
    in «INTERNATIONAL JOURNAL ON DOCUMENT ANALYSIS AND RECOGNITION»,
    vol. 6,
    2004
    , pp. 154 -
    166
  4. P. Massa;P. Avesani,
    Trust-aware Collaborative Filtering for Recommender Systems,
    in «LECTURE NOTES IN COMPUTER SCIENCE»,
    vol. 3290,
    2004
    , pp. 492 -
    508
  5. P. Saini; D. Sona; M. Ronchetti,
    A Baseline Approach for the Automatic Hierarchical Organization of Learning Resources,
    On-line Proceedings of the World Conference on Educational Multimedia, Hypermedia and Telecommunications [EDMEDIA],
    2004
    , pp. 432-
    438
  6. A. Agostini; P. Avesani,
    On the discovery of the semantic context of queries by game playing,
    Flexible Query Answering Systems, Proceedings of the 6th International Conference FQAS 2004,
    2004
    , pp. 203-
    216
  7. P. Avesani; M. Cova; R. Tiella; A. Sharma,
    A Service Oriented Architecture for Advertising Games,
    ICSOC 2004 Proceedings – Short Papers,
    2004
  8. D. Sona; S. Veeramachaneni; P. Avesani; N. Polettini,
    Clustering with Propagation for Hierarchical Document Classification,
    On-line Proceedings of the Workshop W1 on Statistical Approaches for Web Mining [SAWM],
    2004
    , pp. 50-
    61
  9. P. Avesani; C. Bazzanella; A. Perini; A. Susi,
    Supporting the Requirements Prioritization Process. A Machine Learning approach,
    2004
    , pp. 306-
    311
    , (Sixteenth International Conference on Software Engineering & Knowledge Engineering (SEKE 2004),
    Banff, Alberta, Canada,
    20/06/2004 - 24/06/2004)
  10. P. Avesani; E. Olivetti,
    Active Sampling for Data Mining,
    Eu-LAT Workshop on Research and Computing Science: e-Environment Progress and Challenge,
    2004
    , (Eu-LAT Workshop on Research and Computing Science: e-Environment Progress and Challenge,
    30/11/2004 - 03/12/2004)

Pages