Search results for "Structural Risk Minimization"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu	Combining nearest neighbor data description and structural risk minimization for one-class classification.	Neural Computing and Applications	2009	DBLP DOI BibTeX RDF	Nearest neighbor data description, Prototype reduction, Novelty detection, One-class classification, Structural risk minimization
2	Douglas A. G. Vieira, Ricardo H. C. Takahashi, Vasile Palade, João A. Vasconcelos, Walmir M. Caminhas	The Q -Norm Complexity Measure and the Minimum Gradient Method: A Novel Approach to the Machine Learning Structural Risk Minimization Problem.	IEEE Transactions on Neural Networks	2008	DBLP DOI BibTeX RDF
2	George G. Cabral, Adriano L. I. Oliveira, Carlos B. G. Cahu	A Novel Method for One-Class Classification Based on the Nearest Neighbor Data Description and Structural Risk Minimization.	IJCNN	2007	DBLP DOI BibTeX RDF
2	A. Guergachi, Guillaume Patry	Constructing a Model Hierarchy With Background Knowledge for Structural Risk Minimization: Application to Biological Treatment of Wastewater.	IEEE Transactions on Systems, Man, and Cybernetics, Part A	2006	DBLP DOI BibTeX RDF
2	XuLei Yang, Aize Cao, Qing Song	A New Cluster Validity for Data Clustering.	Neural Processing Letters	2006	DBLP DOI BibTeX RDF	Vapnik-Chervonenkis-bound, data clustering, cluster validity, deterministic annealing, structural risk minimization
2	DaeEun Kim	Structural Risk Minimization on Decision Trees Using an Evolutionary Multiobjective Optimization.	EuroGP	2004	DBLP DOI BibTeX RDF
2	Ying Tan, Jun Wang	A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension.	IEEE Trans. Knowl. Data Eng.	2004	DBLP DOI BibTeX RDF	hybrid kernel function, Support vector machines, VC dimension, hyperplane, structural risk minimization
2	Massimiliano Pontil	A Short Review of Statistical Learning Theory.	WIRN	2002	DBLP DOI BibTeX RDF	Regularization, Statistical learning theory, Structural risk minimization
1	Olcay Taner Yildiz	Model selection in omnivariate decision trees using Structural Risk Minimization.	Inf. Sci.	2011	DBLP DOI BibTeX RDF
1	Xinhua Zhang	Structural Risk Minimization.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Yun-Chao Bai, Peng Wang	Convergence rate of structural risk minimization principle on quasi-probability space.	ICMLC	2010	DBLP DOI BibTeX RDF
1	Jiqiang Chen, Chao Wang, Xin-Ai Zhang, Minghu Ha	A further discussion of structural risk minimization principle on set-valued probability space.	ICMLC	2010	DBLP DOI BibTeX RDF
1	Cruz E. Borges, César Luis Alonso, José L. Montaña	Model selection in genetic programming.	GECCO	2010	DBLP DOI BibTeX RDF	genetic programming, model selection, symbolic regression
1	Wanyu Deng, Qinghua Zheng, Lin Chen	Regularized Extreme Learning Machine.	CIDM	2009	DBLP DOI BibTeX RDF
1	Wanqing Li, Yong Zhao, Wenqing Meng, Shipeng Xu	Study on the Risk Prediction of Real Estate Investment Whole Process Based on Support Vector Machine.	WKDD	2009	DBLP DOI BibTeX RDF
1	José Luis Montaña, César Luis Alonso, Cruz E. Borges, José Luis Crespo	Adaptation, Performance and Vapnik-Chervonenkis Dimension of Straight Line Programs.	EuroGP	2009	DBLP DOI BibTeX RDF	Genetic Programming, Linear Genetic Programming, Vapnik-Chervonenkis dimension
1	Vanya Van Belle, Kristiaan Pelckmans, Johan A. K. Suykens, Sabine Van Huffel	MINLIP: Efficient Learning of Transformation Models.	ICANN	2009	DBLP DOI BibTeX RDF	ranking models, Support vector machines, ordinal regression
1	Zhihong Feng, Zhigui Lin, Wei Fang, Wei Wang, Zhitao Xiao	Analog Circuit Fault Fusion Diagnosis Method Based on Support Vector Machine.	ISNN	2009	DBLP DOI BibTeX RDF	Multi- classification, Support Vector Machine, Fault diagnosis, Analog circuit
1	Clodoaldo Ap. M. Lima, André L. V. Coelho, Fernando J. Von Zuben	Pattern classification with mixtures of weighted least-squares support vector machine experts.	Neural Computing and Applications	2009	DBLP DOI BibTeX RDF	Pattern classification, Hybridization, Least squares support vector machines, Mixtures of experts
1	George G. Cabral, Adriano L. I. Oliveira	A Comparative Analysis of One-class Structural Risk Minimization by Support Vector Machines and Nearest Neighbor Rule.	IFIP AI	2008	DBLP DOI BibTeX RDF
1	Luo Zhong, Xuan Xiao, Jingling Yuan	Gray Compensating RBF Prediction Model Based on Structural Risk.	CSSE	2008	DBLP DOI BibTeX RDF
1	Dongil Kim, Sungzoon Cho	Bootstrap Based Pattern Selection for Support Vector Regression.	PAKDD	2008	DBLP DOI BibTeX RDF
1	Hafiz Muhammad Shahzad Asif, Muhammad Adam Mohyuddin, Muhammad Shahbaz	Sales Forecasting Using Structural Risk Minimization Principle of Statistical Learning Theory.	DMIN	2007	DBLP BibTeX RDF
1	Xue-wen Chen, Jong Cheol Jeong	Minimum reference set based feature selection for small sample classifications.	ICML	2007	DBLP DOI BibTeX RDF
1	Qianfeng Cai, Zhifeng Hao, Xiaowei Yang	Successive Overrelaxation for Mamdani Fuzzy Systems.	FSKD	2007	DBLP DOI BibTeX RDF
1	Wei-Chiang Hong, Shao-Lun Lee, Chien-Yuan Lai, Yi-Hsien Wu, Kuo-Liang Wang	The potentiality of support vector regression with immune algorithm for regional electric load forecasting.	IJCNN	2007	DBLP DOI BibTeX RDF
1	Zhiwei Shi, Min Han	Support Vector Echo-State Machine for Chaotic Time-Series Prediction.	IEEE Transactions on Neural Networks	2007	DBLP DOI BibTeX RDF
1	Leonardo de Oliveira Martins, Geraldo Braz Junior, Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva	Classification of Breast Tissues in Mammogram Images Using Ripley's K Function and Support Vector Machine.	ICIAR	2007	DBLP DOI BibTeX RDF	Breast Tissues Classification, Ripley’s K Function, Point Pattern Analysis, SVM, Texture Analysis, Mammogram
1	Huasheng Zou, Feng Yang	Study on Signal Interpretation of GPR Based on Support Vector Machines.	LSMS	2007	DBLP DOI BibTeX RDF
1	Leonardo de Oliveira Martins, Erick Corrêa da Silva, Aristófanes Corrêa Silva, Anselmo Cardoso de Paiva, Marcelo Gattass	Classification of Breast Masses in Mammogram Images Using Ripley's K Function and Support Vector Machine.	MLDM	2007	DBLP DOI BibTeX RDF	Ripley’s K Function, SVM, Texture Analysis, Mammogram, Breast Cancer Diagnosis
1	Danian Zheng, Meng Na, Jiaxin Wang	Face recognition using an NNSRM classifier in LDA subspace.	Pattern Anal. Appl.	2007	DBLP DOI BibTeX RDF	Nearest neighbor structure risk minimization (NNSRM), Face recognition, Principal component analysis (PCA), Linear discriminant analysis (LDA)
1	Giorgio Corani, Marino Gatto	VC-dimension and structural risk minimization for the analysis of nonlinear ecological models.	Applied Mathematics and Computation	2006	DBLP DOI BibTeX RDF
1	Wei Fan, Ian Davidson	Reverse testing: an efficient framework to select amongst classifiers under sample selection bias.	KDD	2006	DBLP DOI BibTeX RDF	classification, cross-validation, stationary distribution, sample selection bias
1	Talieh Seyed Tabatabaei, Tahir Farooq, Aziz Guergachi, Sridhar Krishnan	Support Vector Machines Based Approach for Chemical Phosphorus Removal Process in Wastewater Treatment Plant.	CCECE	2006	DBLP DOI BibTeX RDF
1	DaiQiang Peng, DingXue Wu, Jin-Wen Tian	A New Efficient SVM-based Image Registration Method.	ICPR	2006	DBLP DOI BibTeX RDF
1	Matti Kääriäinen	Semi-Supervised Model Selection Based on Cross-Validation.	IJCNN	2006	DBLP DOI BibTeX RDF
1	Bai Yifeng, Xiao Jian, Yu Long	Kernel Partial Least-Squares Regression.	IJCNN	2006	DBLP DOI BibTeX RDF
1	Fangfang Li, Yingkai Zhao, ZhiBing Jiang	The Prediction of Oil Quality based On Least Squares Support Vector Machines and Daubechies wavelet and Mallat algorithm.	ISDA	2006	DBLP DOI BibTeX RDF	Least Squares Vector Machines (LS-SVM), oil quality, Mallat algorithm, prediction, Daubechies wavelet
1	Haoran Zhang, Xiaodong Wang	Nonlinear Systems Modeling and Control Using Support Vector Machine Technique.	CSR	2006	DBLP DOI BibTeX RDF
1	Hyunchul Ahn, Kichun Lee, Kyoung-jae Kim	Global Optimization of Support Vector Machines Using Genetic Algorithms for Bankruptcy Prediction.	ICONIP	2006	DBLP DOI BibTeX RDF
1	Zhou Yang, Wenjie Zhu, Liang Ji	SLIT: Designing Complexity Penalty for Classification and Regression Trees Using the SRM Principle.	ISNN	2006	DBLP DOI BibTeX RDF
1	DaeEun Kim	Minimizing Structural Risk on Decision Tree Classification.	Multi-Objective Machine Learning	2006	DBLP DOI BibTeX RDF
1	Clayton Scott, Robert D. Nowak	A Neyman-Pearson approach to statistical learning.	IEEE Transactions on Information Theory	2005	DBLP DOI BibTeX RDF
1	Yang Zhang, Zhanhuai Li, Kebin Cui	DRC-BK: Mining Classification Rules by Using Boolean Kernels.	ICCSA	2005	DBLP DOI BibTeX RDF	Boolean Kernel, Decision Rule Classifier, SVM
1	Guangli Liu, Ruizhi Sun, Wanlin Gao	Uncertainty Support Vector Method for Ordinal Regression.	ICNC	2005	DBLP DOI BibTeX RDF	Uncertainty, Quadratic Programming, Ordinal regression, Early- warning
1	Adriano Lorena Inácio de Oliveira, Carolina Baldisserotto, Julio Baldisserotto	A Comparative Study on Machine Learning Techniques for Prediction of Success of Dental Implants.	MICAI	2005	DBLP DOI BibTeX RDF
1	Murlikrishna Viswanathan, Kotagiri Ramamohanarao	Designing Robust Regression Models.	Foundations of Data Mining and knowledge Discovery	2005	DBLP DOI BibTeX RDF
1	Bilge Karaçali, Rajeev Ramanath, Wesley E. Snyder	A comparative analysis of structural risk minimization by support vector machines and nearest neighbor rule.	Pattern Recognition Letters	2004	DBLP DOI BibTeX RDF
1	Amit David, Boaz Lerner	Signal Discrimination Using a Support Vector Machine for Genetic Syndrome Diagnosis.	ICPR	2004	DBLP DOI BibTeX RDF
1	Junbin Gao, Fei Chen, Daming Shi	On the construction of support wavelet network.	SMC	2004	DBLP DOI BibTeX RDF
1	Angel Navia-Vázquez, Fernando Pérez-Cruz, Antonio Artés-Rodríguez, Aníbal R. Figueiras-Vidal	Advantages of Unbiased Support Vector Classifiers for Data Mining Applications.	VLSI Signal Processing	2004	DBLP DOI BibTeX RDF	unbiased, error count, data mining, classifier, support vector, weighted least squares, empirical risk minimization
1	Ross Hayward	Using Images to Compare Two Constructive Network Techniques.	Australian Conference on Artificial Intelligence	2003	DBLP DOI BibTeX RDF
1	Jinbo Bi, Vladimir Vapnik	Learning with Rigorous Support Vector Machines.	COLT	2003	DBLP DOI BibTeX RDF
1	Roni Khardon, Rocco A. Servedio	Maximum Margin Algorithms with Boolean Kernels.	COLT	2003	DBLP DOI BibTeX RDF
1	Clayton Scott, Robert Nowak	Dyadic Classification Trees via Structural Risk Minimization.	NIPS	2002	DBLP BibTeX RDF
1	Vladimir Koltchinskii	Rademacher penalties and structural risk minimization.	IEEE Transactions on Information Theory	2001	DBLP DOI BibTeX RDF
1	Theodoros Evgeniou, Massimiliano Pontil, Tomaso Poggio	Regularization Networks and Support Vector Machines.	Adv. Comput. Math.	2000	DBLP DOI BibTeX RDF	Support Vector Machines, regularization, Radial Basis Functions, Reproducing Kernel Hilbert Space, Structural Risk Minimization
1	Jiayong Zhang, Xiaoqing Ding, Changsong Liu	Multi-Scale Feature Extraction and Nested-Subset Classifier Design for High Accuracy Handwritten Character Recognition.	ICPR	2000	DBLP DOI BibTeX RDF
1	Yann Guermeur, André Elisseeff, Hélène Paugam-Moisy	A New Multi-Class SVM Based on a Uniform Convergence Result.	IJCNN	2000	DBLP DOI BibTeX RDF
1	John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony	Structural Risk Minimization Over Data-Dependent Hierarchies.	IEEE Transactions on Information Theory	1998	DBLP DOI BibTeX RDF
1	John Shawe-Taylor, Nello Cristianini	Data-Dependent Structural Risk Minimization for Perceptron Decision Trees.	NIPS	1997	DBLP BibTeX RDF
1	Ron Meir	Structural Risk Minimization for Nonparametric Time Series Prediction.	NIPS	1997	DBLP BibTeX RDF
1	Kenji Yamanishi	The Minimum L-Complexity Algorithm and its Applications to Learning Non-Parametric Rules.	COLT	1994	DBLP DOI BibTeX RDF
1	Isabelle Guyon, Vladimir Vapnik, Bernhard E. Boser, Léon Bottou, Sara A. Solla	Structural Risk Minimization for Character Recognition.	NIPS	1991	DBLP BibTeX RDF