Search results for "regression"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
10	Weida Zhou, Li Zhang 0004, Licheng Jiao, Jin Pan	Support Vector Regression Based on Unconstrained Convex Quadratic Programming.	ICNC (1)	2006	DBLP DOI BibTeX RDF
10	Zhuo Feng, Peng Li 0001	Performance-oriented statistical parameter reduction of parameterized systems via reduced rank regression.	ICCAD	2006	DBLP DOI BibTeX RDF
10	Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon	Nonlinear parametric regression in genetic programming.	GECCO	2006	DBLP DOI BibTeX RDF	mathematical modeling/curve fitting, genetic programming, system identification
10	Jian Zhang, Qicong Peng 0001, Huaizong Shao, Tiange Shao	Nonlinear Noise Filtering with Support Vector Regression.	ISDA (1)	2006	DBLP DOI BibTeX RDF
10	Dongwon Kim, Gwi-Tae Park	Walking Pattern Analysis of Humanoid Robot Using Support Vector Regression.	KES (3)	2006	DBLP DOI BibTeX RDF
10	Joost J. P. Schalken, Sjaak Brinkkemper, Hans van Vliet	Using Linear Regression Models to Analyse the Effect of Software Process Improvement.	PROFES	2006	DBLP DOI BibTeX RDF
10	Sedat Ozer, Hakan A. Çirpan, Nihat Kabaoglu	Support Vector Regression for Surveillance Purposes.	MRCS	2006	DBLP DOI BibTeX RDF
10	Jingwu He, Alexander Zelikovsky	Tag SNP Selection Based on Multivariate Linear Regression.	International Conference on Computational Science (2)	2006	DBLP DOI BibTeX RDF
10	Mihui Kim, Inshil Doh, Kijoon Chae	A Key Management Based on Multiple Regression in Hierarchical Sensor Network.	WISA	2006	DBLP DOI BibTeX RDF
10	Mark Everingham, Andrew Zisserman	Regression and Classification Approaches to Eye Localization in Face Images.	FGR	2006	DBLP DOI BibTeX RDF
10	Yukun Bao, Rui Zhang, Sven F. Crone	Fuzzy Support Vector Machines Regression for Business Forecasting: An Application.	FSKD	2006	DBLP DOI BibTeX RDF
10	David Cossock, Tong Zhang 0001	Subset Ranking Using Regression.	COLT	2006	DBLP DOI BibTeX RDF
10	A. Ammar Ghaibeh, Mikio Sasaki, Hiroshi Chuman	Using Voronoi Grid and SVM Linear Regression in Drug Discovery.	CIBCB	2006	DBLP DOI BibTeX RDF
10	Ping Sun, Xin Yao 0001	Greedy forward selection algorithms to Sparse Gaussian Process Regression.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Mark J. Brudnak	Vector-Valued Support Vector Regression.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Alexandru G. Floares, Angela Jakary, Aaron Bornstein, Raymond Deicken	Neural Networks and Classification & Regression Trees Are Able to Distinguish Female with Major Depression from Healhy Controls Using Neuroimaging Data.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Sven F. Crone, Stefan Lessmann, Swantje Pietsch	Forecasting with Computational Intelligence - An Evaluation of Support Vector Regression and Artificial Neural Networks for Time Series Prediction.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Jayadeva, Reshma Khemchandani, Suresh Chandra 0001	Regularized Least Squares Fuzzy Support Vector Regression for Time Series Forecasting.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Jiyoung Sun, Sungzoon Cho	Pattern Selection for Support Vector Regression based on Sparseness and Variability.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Mingyu Zhong, Dave Coggeshall, Ehsan Ghaneie, Thomas Pope, Mark Rivera, Michael Georgiopoulos, Georgios C. Anagnostopoulos, Mansooreh Mollaghasemi, Samuel Richie	Gap-Based Estimation: Choosing the Smoothing Parameters for Probabilistic and General Regression Neural Networks.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Jun Guo, Norikazu Takahashi, Tetsuo Nishi	Convergence Proof of a Sequential Minimal Optimization Algorithm for Support Vector Regression.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Daniel Hernández-Lobato, Gonzalo Martínez-Muñoz, Alberto Suárez 0001	Pruning in Ordered Regression Bagging Ensembles.	IJCNN	2006	DBLP DOI BibTeX RDF
10	Michael Carney, Padraig Cunningham	Making Good Probability Estimates for Regression.	ECML	2006	DBLP DOI BibTeX RDF
10	Quoc V. Le, Alexander J. Smola, Thomas Gärtner 0001, Yasemin Altun	Transductive Gaussian Process Regression with Automatic Model Selection.	ECML	2006	DBLP DOI BibTeX RDF
10	Yijun Sun, Li Liu 0035, Mick Popp, William G. Farmerie	Estimation Of Cross-Hybridization Signals Using Support Vector Regression.	IMSCCS (1)	2006	DBLP DOI BibTeX RDF
10	Chin-Chen Chang 0001, Jun-Chou Chuang	Progressive Image Transmission Using Significant Features and Linear Regression Prediction.	IIH-MSP	2006	DBLP DOI BibTeX RDF
10	Luis E. Garza-Castañón, MariCarmen Pérez Reigosa, Juan Arturo Nolazco-Flores	Biometric-Iris Random Key Generator Using Generalized Regression Neural Networks.	IEA/AIE	2006	DBLP DOI BibTeX RDF
10	Daniel Schneegaß, Kai Labusch, Thomas Martinetz	MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation.	ICANN (1)	2006	DBLP DOI BibTeX RDF
10	Stefan Klanke, Helge J. Ritter	A Leave-K-Out Cross-Validation Scheme for Unsupervised Kernel Regression.	ICANN (2)	2006	DBLP DOI BibTeX RDF
10	Orest Pilskalns, Gunay Uyan, Anneliese Amschler Andrews	Regression Testing UML Designs.	ICSM	2006	DBLP DOI BibTeX RDF
10	Bettina Grün, Friedrich Leisch	Testing for Genuine Multimodality in Finite Mixture Models: Application to Linear Regression Models.	GfKl	2006	DBLP DOI BibTeX RDF
10	Ulf Brefeld, Thomas Gärtner 0001, Tobias Scheffer, Stefan Wrobel	Efficient co-regularised least squares regression.	ICML	2006	DBLP DOI BibTeX RDF
10	Jochen Garcke	Regression with the optimised combination technique.	ICML	2006	DBLP DOI BibTeX RDF
10	Bailing Zhang	Cancer Classification by Kernel Principal Component Self-regression.	Australian Conference on Artificial Intelligence	2006	DBLP DOI BibTeX RDF
10	Janete S. Borges, José M. Bioucas-Dias, André R. S. Marçal	Fast Sparse Multinomial Regression Applied to Hyperspectral Data.	ICIAR (2)	2006	DBLP DOI BibTeX RDF
10	Thanapant Raicharoen, Chidchanok Lursinsap, Frank C. Lin	A Divide-and-Conquer Approach to the Pairwise Opposite Class-Nearest Neighbor (POC-NN) Algorithm for Regression Problem.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
10	Chao-feng Li, Jun-ben Zhang, Zheng-you Wang, Shitong Wang 0001	A Fully Automated Pattern Classification Method of Combining Self-Organizing Map with Generalization Regression Neural Network.	ICONIP (2)	2006	DBLP DOI BibTeX RDF
10	Fang Liu, Jian-Zhong Zhou, Fangpeng Qiu, Junjie Yang, Li Liu 0014	Nonlinear Hydrological Time Series Forecasting Based on the Relevance Vector Regression.	ICONIP (2)	2006	DBLP DOI BibTeX RDF
10	Jun Guo, Norikazu Takahashi, Tetsuo Nishi	A Novel Sequential Minimal Optimization Algorithm for Support Vector Regression.	ICONIP (1)	2006	DBLP DOI BibTeX RDF
10	Adam Krzyzak, Dominik Schäfer	Nonparametric regression estimation by normalized radial basis function networks.	IEEE Trans. Inf. Theory	2005	DBLP DOI BibTeX RDF
10	Peter Meinicke, Stefan Klanke, Roland Memisevic, Helge J. Ritter	Principal Surfaces from Unsupervised Kernel Regression.	IEEE Trans. Pattern Anal. Mach. Intell.	2005	DBLP DOI BibTeX RDF
10	Vladimir Katkovnik, Karen O. Egiazarian, Jaakko Astola	A Spatially Adaptive Nonparametric Regression Image Deblurring.	IEEE Trans. Image Process.	2005	DBLP DOI BibTeX RDF
10	Murlikrishna Viswanathan, Kotagiri Ramamohanarao	Designing Robust Regression Models.	Foundations of Data Mining and knowledge Discovery	2005	DBLP DOI BibTeX RDF
10	Shingo Ando, Yoshinori Kusachi, Akira Suzuki, Kenichi Arakawa	Appearance based pose estimation of 3D object using support vector regression.	ICIP (1)	2005	DBLP DOI BibTeX RDF
10	Paul Komarek, Andrew W. Moore 0001	Making Logistic Regression a Core Data Mining Tool with TR-IRLS.	ICDM	2005	DBLP DOI BibTeX RDF
10	Shuichi Kurogi, Miho Sawa, Shinya Tanaka	Competitive Associative Nets and Cross-Validation for Estimating Predictive Uncertainty on Regression Problems.	MLCW	2005	DBLP DOI BibTeX RDF
10	Miguel Rocha 0001, Paulo Cortez 0001, José Neves 0001	Simultaneous Evolution of Neural Network Topologies and Weights for Classification and Regression.	IWANN	2005	DBLP DOI BibTeX RDF	Evolutionary Algorithms, Supervised Learning, Multilayer Perceptrons, Ensembles
10	Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy Lim	A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary algorithm.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
10	Iloneide C. O. Ramos, Marco César Goldbarg, Elizabeth Ferreira Gouvea Goldbarg, Adrião Duarte Dória Neto	Logistic regression for parameter tuning on an evolutionary algorithm.	Congress on Evolutionary Computation	2005	DBLP DOI BibTeX RDF
10	Bao Rong Chang	Forecasting the Flow of Data Packets in Web Using ANFISCH Predictor Tuned by Segmented Adaptive Support Vector Regression.	CIT	2005	DBLP DOI BibTeX RDF
10	Chih-Chieh Hung, Wen-Chih Peng, Jiun-Long Huang	Exploring Regression for Mining User Moving Patterns in a Mobile Computing System.	HPCC	2005	DBLP DOI BibTeX RDF
10	Xiaodao Wu, Yanfeng Sun, Yanchun Liang 0001	A Quantile-Data Mapping Model for Value-at-Risk Based on BP and Support Vector Regression.	WINE	2005	DBLP DOI BibTeX RDF
10	Seungwoo Han, Daniel W. Halpin	The use of simulation for productivity estimation based on multiple regression analysis.	WSC	2005	DBLP DOI BibTeX RDF
10	Henry Muccini, Marcio S. Dias, Debra J. Richardson	Reasoning About Software Architecture-Based Regression Testing Through a Case Study.	COMPSAC (2)	2005	DBLP DOI BibTeX RDF
10	Jingqing Jiang, Chunguo Wu, Yanchun Liang 0001	Multi-category Classification by Least Squares Support Vector Regression.	ISNN (1)	2005	DBLP DOI BibTeX RDF
10	Yi Liu, XianHui Yang, Zhihua Xiong, Jie Zhang 0005	Batch-to-Batch Optimal Control Based on Support Vector Regression Model.	ISNN (3)	2005	DBLP DOI BibTeX RDF
10	Fei Xing, Ping Guo 0002	Support Vector Regression for Software Reliability Growth Modeling and Prediction.	ISNN (1)	2005	DBLP DOI BibTeX RDF
10	Domenico Capriglione, Claudio Marrocco, Mario Molinara, Francesco Tortorella	SVM Based Regression Schemes for Instruments Fault Accommodation in Automotive Systems.	ICIAP	2005	DBLP DOI BibTeX RDF
10	Zhenhua Yu 0001, Xiao Fu, Yinglu Li	Online Support Vector Regression for System Identification.	ICNC (2)	2005	DBLP DOI BibTeX RDF
10	Qing Yang, Shengli Xie	An Application of Support Vector Regression on Narrow-Band Interference Suppression in Spread Spectrum Systems.	ICNC (2)	2005	DBLP DOI BibTeX RDF
10	Hengping Zhao, Jinshou Yu	A Modified SMO Algorithm for SVM Regression and Its Application in Quality Prediction of HP-LDPE.	ICNC (1)	2005	DBLP DOI BibTeX RDF
10	Zhengjia He, Qiao Hu, Yanyang Zi, Zhousuo Zhang, Xuefeng Chen 0002	Hybrid Intelligent Forecasting Model Based on Empirical Mode Decomposition, Support Vector Regression and Adaptive Linear Neural Network.	ICNC (2)	2005	DBLP DOI BibTeX RDF
10	Changha Hwang, Jooyong Shim	A Simple Quantile Regression via Support Vector Machine.	ICNC (1)	2005	DBLP DOI BibTeX RDF
10	Jooyong Shim, Changha Hwang	Doubly Regularized Kernel Regression with Heteroscedastic Censored Data.	ICNC (1)	2005	DBLP DOI BibTeX RDF
10	Chao-Kuei Hsieh, Yung-Chang Chen	Partial Linear Regression for Audio-Driven Talking Head Application.	ICME	2005	DBLP DOI BibTeX RDF
10	Quan-Sen Sun, Zhong Jin, Pheng-Ann Heng, De-Shen Xia	A Novel Feature Fusion Method Based on Partial Least Squares Regression.	ICAPR (1)	2005	DBLP DOI BibTeX RDF
10	Gabriele Steidl, Stephan Didas, Julia Neumann	Relations Between Higher Order TV Regularization and Support Vector Regression.	Scale-Space	2005	DBLP DOI BibTeX RDF
10	Qingfan Meng, Lirong Teng, Jiahui Lu, Chaojun Jiang, C. H. Gao, T. B. Du, Chunguo Wu, X. C. Guo, Yanchun Liang 0001	Determination of Methanol and Ethanol Synchronously in Ternary Mixture by NIRS and PLS Regression.	ICCSA (1)	2005	DBLP DOI BibTeX RDF
10	Leon Bobrowski	Linear Ranked Regression - Designing Principles.	CORES	2005	DBLP DOI BibTeX RDF
10	Aleksander J. Owczarek, Adam Gacek, Jacek M. Leski	Multi-Channels Time-Domain-Constrained Fuzzy c -Regression Models.	CORES	2005	DBLP DOI BibTeX RDF
10	José M. Matías	Multi-output Nonparametric Regression.	EPIA	2005	DBLP DOI BibTeX RDF
10	Asterios Toutios, Konstantinos G. Margaritis	Mapping the Speech Signal onto Electromagnetic Articulography Trajectories Using Support Vector Regression.	TSD	2005	DBLP DOI BibTeX RDF
10	Ulrich Paquet, Sean B. Holden, Andrew Naish-Guzman	Bayesian Hierarchical Ordinal Regression.	ICANN (2)	2005	DBLP DOI BibTeX RDF
10	Rainer Böhme	Assessment of Steganalytic Methods Using Multiple Regression Models.	Information Hiding	2005	DBLP DOI BibTeX RDF
10	David Williams, Xuejun Liao, Ya Xue, Lawrence Carin	Incomplete-data classification using logistic regression.	ICML	2005	DBLP DOI BibTeX RDF
10	Wei Chu, S. Sathiya Keerthi	New approaches to support vector ordinal regression.	ICML	2005	DBLP DOI BibTeX RDF
10	Xuejun Liao, Ya Xue, Lawrence Carin	Logistic regression with an auxiliary data source.	ICML	2005	DBLP DOI BibTeX RDF
10	Yan Xing, Michael G. Madden, Jim Duggan, Gerard Lyons	Context-Sensitive Regression Analysis for Distributed Data.	ADMA	2005	DBLP DOI BibTeX RDF
10	Huayang Xie	Diversity Control in GP with ADF for Regression Tasks.	Australian Conference on Artificial Intelligence	2005	DBLP DOI BibTeX RDF
10	Ioannis Anagnostopoulos, Christos Anagnostopoulos, George Kouzas, Dimitrios D. Vergados	A generalised regression algorithm for Web page categorisation.	Neural Comput. Appl.	2004	DBLP DOI BibTeX RDF	Neural network, Web page classification, GRNN
10	Tong San Koh, X. Y. Wu, L. H. Cheong, C. C. T. Lim	Assessment of perfusion by dynamic contrast-enhanced imaging using a deconvolution approach based on regression and singular value decomposition.	IEEE Trans. Medical Imaging	2004	DBLP DOI BibTeX RDF
10	Nicholas A. Ablitt, Jianxin Gao, Jennifer Keegan, Lars Stegger, David N. Firmin, Guang-Zhong Yang	Predictive cardiac motion modeling and correction with partial least squares regression.	IEEE Trans. Medical Imaging	2004	DBLP DOI BibTeX RDF
10	K. S. Chandra, T. V. Ramanathan	Modeling inefficiencies in a reliability system using stochastic frontier regression.	IEEE Trans. Reliab.	2004	DBLP DOI BibTeX RDF
10	S. Kanmani, V. Rhymend Uthariaraj, V. Sankaranarayanan, P. Thambidurai	Object oriented software quality prediction using general regression neural networks.	ACM SIGSOFT Softw. Eng. Notes	2004	DBLP DOI BibTeX RDF	neural network, object oriented, metrics, software quality
10	T. Hoya	Notions of intuition and attention modeled by a hierarchically arranged generalized regression neural network.	IEEE Trans. Syst. Man Cybern. Part B	2004	DBLP DOI BibTeX RDF
10	J. Tolvi	Genetic algorithms for outlier detection and variable selection in linear regression models.	Soft Comput.	2004	DBLP DOI BibTeX RDF	Genetic algorithm, Model selection, Outlier detection, Outlier, Variable selection
10	Radek Sindelár, Robert Babuska	Input selection for nonlinear regression models.	IEEE Trans. Fuzzy Syst.	2004	DBLP DOI BibTeX RDF
10	Philippe Naveau, Hee-Seok Oh	Polynomial wavelet regression for images with irregular boundaries.	IEEE Trans. Image Process.	2004	DBLP DOI BibTeX RDF
10	Michael Kölling, Andrew Patterson	Going Interactive: Combining Ad-Hoc and Regression Testing.	XP	2004	DBLP DOI BibTeX RDF
10	T. Ritthidetch, R. Masuchun, A. Chaikla, P. Julsereewong, K. Tirasesth	Improving suspension manufacturing yield using polynomial regression.	ICARCV	2004	DBLP DOI BibTeX RDF
10	Wei Miao Yu, Tiehua Du, Kah Bin Lim 0001	Comparison of the support vector machine and relevant vector machine in regression and classification problems.	ICARCV	2004	DBLP DOI BibTeX RDF
10	Alexei D. Miasnikov, Robert M. Haralick	Regression Analysis and Automorphic Orbits in Free Groups of Rank 2.	ICPR (1)	2004	DBLP DOI BibTeX RDF
10	Peter Sollich	Can Gaussian Process Regression Be Made Robust Against Model Mismatch?	Deterministic and Statistical Methods in Machine Learning	2004	DBLP DOI BibTeX RDF
10	Li Zhang 0004, Yugeng Xi	Nonlinear System Identification Based on an Improved Support Vector Regression Estimator.	ISNN (1)	2004	DBLP DOI BibTeX RDF
10	Ileana Popescu, Philip Constantinou, M. Nafornita, Ioan Nafornita	Generalized regression neural network prediction model for indoor environment.	ISCC	2004	DBLP DOI BibTeX RDF
10	Chi-kin Chow, Hung-Tat Tsui	Sequential RBF function estimator: memory regression network.	SMC (5)	2004	DBLP DOI BibTeX RDF
10	Yukun Bao, Wen Wang, Jinlong Zhang	Forecasting intermittent demand by SVMs regression.	SMC (1)	2004	DBLP DOI BibTeX RDF
10	Bao Rong Chang	Tunable free parameters C and epsilon-tube in support vector regression for grey prediction model - SVRGM(1, 1\|C, e) approach.	SMC (3)	2004	DBLP DOI BibTeX RDF
10	Minoru Nakatsugawa, Takehisa Yairi, Naoki Ishihama, Koichi Hori, Shinichi Nakasuka, Kazuo Machida	Adaptive limit checking for spacecraft telemetry data using regression tree learning.	SMC (6)	2004	DBLP DOI BibTeX RDF
10	David Rees, Ying Guo, Arturo López Ariste, Jonathan Graham	Real Time Stokes Inversion Using Multiple Support Vector Regression.	KES	2004	DBLP DOI BibTeX RDF