A Comparative Study on Feature Selection Methods for Drug Discovery
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[1] Andreas S. Weigend,et al. A neural network approach to topic spotting , 1995 .
[2] Dunja Mladenic,et al. Feature Subset Selection in Text-Learning , 1998, ECML.
[3] Thorsten Joachims,et al. Transductive Inference for Text Classification using Support Vector Machines , 1999, ICML.
[4] Bernard F. Buxton,et al. Drug Design by Machine Learning: Support Vector Machines for Pharmaceutical Data Analysis , 2001, Comput. Chem..
[5] Marko Grobelnik,et al. Interaction of Feature Selection Methods and Linear Classification Models , 2002 .
[6] Dunja Mladenic,et al. Feature Selection for Unbalanced Class Distribution and Naive Bayes , 1999, ICML.
[7] Huan Liu,et al. Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution , 2003, ICML.
[8] Maria Simi,et al. Experiments on the Use of Feature Selection and Negative Evidence in Automated Text Categorization , 2000, ECDL.
[9] Carol Wellington,et al. Symbolic, Neural, and Bayesian Machine Learning Models for Predicting Carcinogenicity of Chemical Compounds , 2000, J. Chem. Inf. Comput. Sci..
[10] Douglas M. Hawkins,et al. The Problem of Overfitting , 2004, J. Chem. Inf. Model..
[11] M. Wagener,et al. Potential Drugs and Nondrugs: Prediction and Identification of Important Structural Features. , 2000 .
[12] Huiqing Liu,et al. A comparative study on feature selection and classification methods using gene expression profiles and proteomic patterns. , 2002, Genome informatics. International Conference on Genome Informatics.
[13] Isabelle Moulinier,et al. Applying an existing machine learning algorithm to text categorization , 1995, Learning for Natural Language Processing.
[14] Hwee Tou Ng,et al. Feature selection, perceptron learning, and a usability case study for text categorization , 1997, SIGIR '97.
[15] Nitesh V. Chawla,et al. Generalization Methods in Bioinformatics , 2002, BIOKDD.
[16] Michael I. Jordan,et al. Feature selection for high-dimensional genomic microarray data , 2001, ICML.
[17] David D. Lewis,et al. A comparison of two learning algorithms for text categorization , 1994 .
[18] Tobias Scheffer,et al. International Conference on Machine Learning (ICML-99) , 1999, Künstliche Intell..
[19] Thorsten Joachims,et al. Text Categorization with Support Vector Machines: Learning with Many Relevant Features , 1998, ECML.
[20] Aik Choon Tan,et al. Ensemble machine learning on gene expression data for cancer classification. , 2003, Applied bioinformatics.
[21] Fabrizio Sebastiani,et al. Machine learning in automated text categorization , 2001, CSUR.
[22] Masahiko Haruno,et al. Feature Selection in SVM Text Categorization , 1999, AAAI/IAAI.
[23] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques with Java implementations , 2002, SGMD.
[24] Padmini Srinivasan,et al. Hierarchical neural networks for text categorization , 1999, SIGIR 1999.
[25] Alessandro Sperduti,et al. An improved boosting algorithm and its application to text categorization , 2000, CIKM '00.
[26] Robert Bywater,et al. Improving the Odds in Discriminating "Drug-like" from "Non Drug-like" Compounds , 2000, J. Chem. Inf. Comput. Sci..
[27] David Page,et al. KDD Cup 2001 report , 2002, SKDD.
[28] Norbert Fuhr,et al. AIR/X - A rule-based multistage indexing system for Iarge subject fields , 1991, RIAO.
[29] Yiming Yang,et al. High-performing feature selection for text classification , 2002, CIKM '02.
[30] D Haussler,et al. Knowledge-based analysis of microarray gene expression data by using support vector machines. , 2000, Proceedings of the National Academy of Sciences of the United States of America.
[31] Stan Matwin,et al. A learner-independent evaluation of the usefulness of statistical phrases for automated text categorization , 2001 .
[32] Yiming Yang,et al. A Comparative Study on Feature Selection in Text Categorization , 1997, ICML.