Variance Based Particle Swarm Optimization for Function Optimization and Feature Selection
暂无分享,去创建一个
Yamuna Prasad | Kanad K. Biswas | Madasu Hanmandlu | K. K. Biswas | Chakresh Kumar Jain | M. Hanmandlu | Yamuna Prasad
[1] Fenglian Li,et al. An Enhanced Artificial Bee Colony-Based Support Vector Machine for Image-Based Fault Detection , 2015 .
[2] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[3] Yamuna Prasad,et al. PSO - SVM Based Classifiers: A Comparative Approach , 2010, IC3.
[4] Cheng-Lung Huang,et al. ACO-based hybrid classification system with feature subset selection and model parameters optimization , 2009, Neurocomputing.
[5] Sayan Mukherjee,et al. Feature Selection for SVMs , 2000, NIPS.
[6] T. Aruldoss Albert Victoire,et al. Design of fuzzy expert system for microarray data classification using a novel Genetic Swarm Algorithm , 2012, Expert Syst. Appl..
[7] Marco Dorigo,et al. Ant colony optimization theory: A survey , 2005, Theor. Comput. Sci..
[8] José Neves,et al. The fully informed particle swarm: simpler, maybe better , 2004, IEEE Transactions on Evolutionary Computation.
[9] Ron Kohavi,et al. Improving simple Bayes , 1997 .
[10] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[11] Wei-Yin Loh,et al. Classification and regression trees , 2011, WIREs Data Mining Knowl. Discov..
[12] Ran El-Yaniv,et al. Distributional Word Clusters vs. Words for Text Categorization , 2003, J. Mach. Learn. Res..
[13] M. A. Khanesar,et al. A novel binary particle swarm optimization , 2007, 2007 Mediterranean Conference on Control & Automation.
[14] Yamuna Prasad,et al. SVM Classifier Based Feature Selection Using GA, ACO and PSO for siRNA Design , 2010, ICSI.
[15] James Kennedy,et al. Particle swarm optimization , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.
[16] Ivor W. Tsang,et al. Learning Sparse SVM for Feature Selection on Very High Dimensional Datasets , 2010, ICML.
[17] P. Langley. Selection of Relevant Features in Machine Learning , 1994 .
[18] Jing J. Liang,et al. Comprehensive learning particle swarm optimizer for global optimization of multimodal functions , 2006, IEEE Transactions on Evolutionary Computation.
[19] George Forman,et al. An Extensive Empirical Study of Feature Selection Metrics for Text Classification , 2003, J. Mach. Learn. Res..
[20] Ponnuthurai N. Suganthan,et al. Heterogeneous comprehensive learning particle swarm optimization with enhanced exploration and exploitation , 2015, Swarm Evol. Comput..
[21] Li-Yeh Chuang,et al. Chaotic maps based on binary particle swarm optimization for feature selection , 2011, Appl. Soft Comput..
[22] Manik Varma,et al. More generality in efficient multiple kernel learning , 2009, ICML '09.
[23] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.