暂无分享,去创建一个
[1] Fabrício Olivetti de França,et al. Extending features for multilabel classification with swarm biclustering , 2013, 2013 IEEE Congress on Evolutionary Computation.
[2] Hong Yan,et al. A fuzzy biclustering algorithm for social annotations , 2009, J. Inf. Sci..
[3] Vipin Kumar,et al. Subspace Differential Coexpression Analysis: Problem Definition and a General Approach , 2010, Pacific Symposium on Biocomputing.
[4] Jin-Kao Hao,et al. Survey on Biclustering of Gene Expression Data , 2013 .
[5] Inderjit S. Dhillon,et al. Co-clustering documents and words using bipartite spectral graph partitioning , 2001, KDD '01.
[6] Xuelong Li,et al. Exploiting Local Coherent Patterns for Unsupervised Feature Ranking , 2011, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[7] Alexander Schliep,et al. Clustering cancer gene expression data: a comparative study , 2008, BMC Bioinformatics.
[8] Clodoaldo Ap. M. Lima,et al. Kernel machines for epilepsy diagnosis via EEG signal classification: A comparative study , 2011, Artif. Intell. Medicine.
[9] Inderjit S. Dhillon,et al. Information-theoretic co-clustering , 2003, KDD '03.
[10] Yoav Freund,et al. Large Margin Classification Using the Perceptron Algorithm , 1998, COLT.
[11] Anil K. Jain. Data clustering: 50 years beyond K-means , 2008, Pattern Recognit. Lett..
[12] Xuelong Li,et al. Biclustering Learning of Trading Rules , 2015, IEEE Transactions on Cybernetics.
[13] Yoav Freund,et al. Large Margin Classification Using the Perceptron Algorithm , 1998, COLT' 98.
[14] Abdulhamit Subasi,et al. EEG signal classification using wavelet feature extraction and a mixture of expert model , 2007, Expert Syst. Appl..
[15] Janez Demsar,et al. Statistical Comparisons of Classifiers over Multiple Data Sets , 2006, J. Mach. Learn. Res..
[16] James Bailey,et al. Contrast Data Mining: Concepts, Algorithms, and Applications , 2012 .
[17] Yuan Yan Tang,et al. Wavelet Theory Approach to Pattern Recognition - 2nd Edition , 2009, Series in Machine Perception and Artificial Intelligence.
[18] Chandan K. Reddy,et al. Differential biclustering for gene expression analysis , 2010, BCB '10.
[19] Chandan K. Reddy,et al. Efficient mining of discriminative co-clusters from gene expression data , 2014, Knowledge and Information Systems.
[20] Xuequn Shang,et al. Efficient mining differential co-expression biclusters in microarray datasets. , 2013, Gene.
[21] Ethem Alpaydin,et al. Introduction to machine learning , 2004, Adaptive computation and machine learning.
[22] Fabrício Olivetti de França,et al. Predicting missing values with biclustering: A coherence-based approach , 2013, Pattern Recognit..
[23] Wlodzislaw Duch,et al. Make it cheap: Learning with O(nd) complexity , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).
[24] Hong Yan,et al. Biclustering Analysis for Pattern Discovery: Current Techniques, Comparative Studies and Applications , 2012 .
[25] João Paulo Papa,et al. EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment , 2014, Neurocomputing.
[26] Fabrício Olivetti de França,et al. A biclustering approach for classification with mislabeled data , 2015, Expert Syst. Appl..
[27] Alexander J. Smola,et al. Learning with kernels , 1998 .
[28] George M. Church,et al. Biclustering of Expression Data , 2000, ISMB.
[29] Arlindo L. Oliveira,et al. Biclustering algorithms for biological data analysis: a survey , 2004, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[30] L. Breiman. Arcing Classifiers , 1998 .
[31] Fabrício Benevenuto,et al. Detecting tip spam in location-based social networks , 2013, SAC '13.