Search results for "regression"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
19	Peter J. Rousseeuw, Katrien van Driessen	Computing LTS Regression for Large Data Sets.	Data Min. Knowl. Discov.	2006	DBLP DOI BibTeX RDF	breakdown value, regression, outlier detection, robust estimation, linear model
19	Toshihiro Kamishima, Shotaro Akaho	Supervised ordering by regression combined with Thurstone's model.	Artif. Intell. Rev.	2006	DBLP DOI BibTeX RDF	Thurstone’s law of comparative judgment, Sensory survey, Rank, Supervised learning, Regression analysis, Order
19	Jeffrey Junfeng Pan, James T. Kwok, Qiang Yang 0001, Yiqiang Chen	Multidimensional Vector Regression for Accurate and Low-Cost Location Estimation in Pervasive Computing.	IEEE Trans. Knowl. Data Eng.	2006	DBLP DOI BibTeX RDF	pervasive computing, Location-dependent and sensitive, correlation and regression analysis
19	Shitong Wang 0001, Jiagang Zhu, Fu-Lai Chung, Dewen Hu	Experimental study on parameter choices in norm-r support vector regression machines with noisy input.	Soft Comput.	2006	DBLP DOI BibTeX RDF	r-loss functions, Newton descent method, Support vector regression (SVR)
19	Sanja Fidler, Danijel Skocaj, Ales Leonardis	Combining Reconstructive and Discriminative Subspace Methods for Robust Classification and Regression by Subsampling.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	reconstructive methods, discriminative methods, robust classification, high-breakdown point classification, PCA, occlusion, outlier detection, LDA, Subspace methods, CCA, subsampling, robust regression
19	Cleopatra Petroutsatou, Sergios Lambropoulos, John Paris Pantouvakis	Road tunnel early cost estimates using multiple regression analysis.	Oper. Res.	2006	DBLP DOI BibTeX RDF	Estimate, Cost, Construction, Tunnel, Multiple Regression Analysis
19	John Cavazos, Michael F. P. O'Boyle	Method-specific dynamic compilation using logistic regression.	OOPSLA	2006	DBLP DOI BibTeX RDF	Jikes RVM, Java, machine learning, compiler optimization, logistic regression
19	Chuan Xu, Jieping Xu, Xiaoyong Du 0001	Recommendation algorithm combining the user-based classified regression and the item-based filtering.	ICEC	2006	DBLP DOI BibTeX RDF	classified regression, item-based filtering, recommender systems, collaborative recommendation
19	Guoqing Xu 0001	A regression tests selection technique for aspect-oriented programs.	WTAOP	2006	DBLP DOI BibTeX RDF	aspect-oriented programming, program analysis, regression test selection
19	Harry M. Sneed	Selective Regression Testing of a Host to DotNet Migration.	ICSM	2006	DBLP DOI BibTeX RDF	DotNet, SQLServer, XML, Regression Testing, Assertions, File Comparison
19	Yasunari Takagi, Osamu Mizuno, Tohru Kikuno	An Empirical Approach to Characterizing Risky Software Projects Based on Logistic Regression Analysis.	Empir. Softw. Eng.	2005	DBLP DOI BibTeX RDF	risky project, logistic regression, questionnaire, Software risk management
19	Tianming Hu, Sam Yuan Sung	Data Fusion in Radial Basis Function Networks for Spatial Regression.	Neural Process. Lett.	2005	DBLP DOI BibTeX RDF	spatial regression, data fusion, radial basis function network, spatial autocorrelation
19	Russell Greiner, Xiaoyuan Su, Bin Shen, Wei Zhou	Structural Extension to Logistic Regression: Discriminative Parameter Learning of Belief Net Classifiers.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	(Bayesian) belief nets, computational/sample complexity, classification, logistic regression, PAC-learning
19	Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri	On Discriminative Bayesian Network Classifiers and Logistic Regression.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	Bayesian networks, logistic regression, Bayesian classifiers, discriminative learning
19	S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo	A Fast Dual Algorithm for Kernel Logistic Regression.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	SMO algorithm, classification, kernel methods, logistic regression
19	James J. Buckley	Fuzzy statistics: regression and prediction.	Soft Comput.	2005	DBLP DOI BibTeX RDF	Fuzzy sets, Statistics, Regression
19	Martin J. Shepperd, Michelle Cartwright	A Replication of the Use of Regression towards the Mean (R2M) as an Adjustment to Effort Estimation Models.	IEEE METRICS	2005	DBLP DOI BibTeX RDF	software project effort estimation, regression towards the mean, replication, project management, empirical analysis, estimation by analogy
19	Lee J. White, Khaled Jaber, Brian Robinson	Utilization of Extended Firewall for Object-Oriented Regression Testing.	ICSM	2005	DBLP DOI BibTeX RDF	Firewall Regression Testing, Extended Firewall Testing, Object-Oriented Software Testing
19	Daniela De Canditiis, Theofanis Sapatinas	Testing for additivity and joint effects in multivariate nonparametric regression using Fourier and wavelet methods.	Stat. Comput.	2004	DBLP DOI BibTeX RDF	joint effects, tensor product Hilbert spaces, wavelet transform, Fourier transform, hypothesis testing, nonparametric regression, additive models
19	K. K. Aggarwal, Yogesh Singh, Arvinder Kaur	Code coverage based technique for prioritizing test cases for regression testing.	ACM SIGSOFT Softw. Eng. Notes	2004	DBLP DOI BibTeX RDF	prioritization of test cases, regression testing, test case
19	Jonathan J. Forster, John W. McDonald, Peter W. F. Smith	Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression models.	Stat. Comput.	2003	DBLP DOI BibTeX RDF	conditional inference, exact confidence interval, exact test, Markov chain Monte Carlo, logistic regression, Metropolis-Hastings algorithm, goodness-of-fit test, residual analysis
19	Jerome P. Reiter	Model Diagnostics for Remote Access Regression Servers.	Stat. Comput.	2003	DBLP DOI BibTeX RDF	regression, confidentiality, diagnostics, remote access, disclosure, synthetic data
19	Yiming Yang, Bryan Kisiel	Margin-based local regression for adaptive filtering.	CIKM	2003	DBLP DOI BibTeX RDF	local regression, threshold calibration, adaptive filtering, temporal sequences
19	Hang Yu, Ee-Chien Chang	Distributed multivariate regression based on influential observations.	KDD	2003	DBLP DOI BibTeX RDF	multivariate linear regression, sampling, distributed data mining, learning curve
19	Alessandro Orso, Taweesup Apiwattanapong, Mary Jean Harrold	Leveraging field data for impact analysis and regression testing.	ESEC / SIGSOFT FSE	2003	DBLP DOI BibTeX RDF	gamma technology, software engineering, regression testing, impact analysis
19	Brad Dolin, Forrest H. Bennett III, Eleanor Gilbert Rieffel	Co-evolving an effective fitness sample: experiments in symbolic regression and distributed robot control.	SAC	2002	DBLP DOI BibTeX RDF	fitness cases, genetic algorithms, genetic programming, distributed control, robot control, co-evolution, symbolic regression
19	Roberto Tagliaferri, Antonio Eleuteri, M. Meneganti, Fabrizio Barone	Fuzzy min-max neural networks: from classification to regression.	Soft Comput.	2001	DBLP DOI BibTeX RDF	Fuzzy min-max hyperboxes, Classification, Regression, Fuzzy neural networks
19	Norman F. Schneidewind	Investigation of Logistic Regression as a Discriminant of Software Quality.	IEEE METRICS	2001	DBLP DOI BibTeX RDF	Logistic Regression Functions, Boolean Discriminant Functions, Software quality prediction
19	Alessandro Orso, Mary Jean Harrold, David S. Rosenblum, Gregg Rothermel, Mary Lou Soffa, Hyunsook Do	Using Component Metacontent to Support the Regression Testing of Component-Based Software.	ICSM	2001	DBLP DOI BibTeX RDF	component metadata, Regression testing, component testing
19	Thomas Ball	On the Limit of Control Flow Analysis for Regression Test Selection.	ISSTA	1998	DBLP DOI BibTeX RDF	profiling, coverage, regression testing, control flow analysis
19	Nashat Mansour, Khaled El-Fakih	Natural Optimization Algorithms for Optimal Regression Testing.	COMPSAC	1997	DBLP DOI BibTeX RDF	natural optimization, genetic algorithms, software maintenance, simulated annealing, regression testing
19	Lee J. White	Regression Testing of GUI Event Interactions.	ICSM	1996	DBLP DOI BibTeX RDF	Pairwise Event Interaction, GUI Function Testing, Regression Testing, GUI Testing
19	Tapas Kanungo, David M. Gay, Robert M. Haralick	Constrained monotone regression of ROC curves and histograms using splines and polynomials.	ICIP	1995	DBLP DOI BibTeX RDF	monotonically decreasing curves, single valued functions, parametric splines, parametric polynomials, monotonicity constraints, optimal operating points, cumulative density functions, monotonic splines, fitted spline function, end-point constraints, constrained monotone regression problem, mathematical programming language, AMPL, programming languages, statistical analysis, histograms, mathematical programming, curve fitting, curve fitting, splines (mathematics), receivers, ROC curves, receiver operating characteristics, parametric representation, density functions, closed form
19	Khalil Abdullah, James E. Kimble Jr., Lee J. White	Correcting for unreliable regression integration testing.	ICSM	1995	DBLP DOI BibTeX RDF	unreliable regression integration testing, firewall concept, error cases, firewall construction, software maintenance, statistical analysis, program testing, unit testing, control flow, integration testing
19	Philip A. Chou	Optimal Partitioning for Classification and Regression Trees.	IEEE Trans. Pattern Anal. Mach. Intell.	1991	DBLP DOI BibTeX RDF	Kullback's information divergence, surrogate splits, composite nodes, speech recognition, speech recognition, partitioning, iterative methods, trees (mathematics), decision theory, clustering algorithm, iterative algorithm, text-to-speech, regression trees, decision graphs
19	Harold J. Breaux	A modification of Efroymson's technique for stepwise regression analysis.	Commun. ACM	1968	DBLP DOI BibTeX RDF	linear statistical models, statistical computer programs, statistical recurrence formulas, correlation, curve fitting, multiple linear regression
19	Wangyang Zhang, Tsung-Hao Chen, Ming Yuan Ting, Xin Li 0001	Toward efficient large-scale performance modeling of integrated circuits via multi-mode/multi-corner sparse regression.	DAC	2010	DBLP DOI BibTeX RDF	performance modeling, process variations
19	Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee	Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression.	IEEE Trans. Knowl. Data Eng.	2009	DBLP DOI BibTeX RDF
19	Yu Zhang 0006, Dit-Yan Yeung	Semi-Supervised Multi-Task Regression.	ECML/PKDD (2)	2009	DBLP DOI BibTeX RDF
19	Yangjing Long	Human Age Estimation by Metric Learning for Regression Problems.	CGIV	2009	DBLP DOI BibTeX RDF
19	Ling Gao, Shouxin Ren	Improvement of Prediction Ability of Multicomponent Regression Model by a Method Based on Data Mining in Chemometrics.	WKDD	2009	DBLP DOI BibTeX RDF
19	Sudhir Raman, Volker Roth 0001	Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models.	DAGM-Symposium	2009	DBLP DOI BibTeX RDF
19	Anna Corazza, Sergio Di Martino, Filomena Ferrucci, Carmine Gravino, Emilia Mendes	Applying support vector regression for web effort estimation using a cross-company dataset.	ESEM	2009	DBLP DOI BibTeX RDF
19	Xiao Qu	Configuration aware prioritization techniques in regression testing.	ICSE Companion	2009	DBLP DOI BibTeX RDF
19	Joris M. Mooij, Dominik Janzing, Jonas Peters, Bernhard Schölkopf	Regression by dependence minimization and its application to causal inference in additive noise models.	ICML	2009	DBLP DOI BibTeX RDF
19	Peng Wei 0005, Wei Pan	Incorporating Gene Functions into Regression Analysis of DNA-Protein Binding Data and Gene Expression Data to Construct Transcriptional Networks.	IEEE ACM Trans. Comput. Biol. Bioinform.	2008	DBLP DOI BibTeX RDF	Shrinkage estimator, Stratified analysis, Microarray, Transcription factor, LASSO
19	László Györfi, Marten H. Wegkamp	Quantization for Nonparametric Regression.	IEEE Trans. Inf. Theory	2008	DBLP DOI BibTeX RDF
19	Xia Hong 0001, Sheng Chen 0001, Chris J. Harris	A-Optimality Orthogonal Forward Regression Algorithm Using Branch and Bound.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
19	Dong Sik Kim, Kiryung Lee	Block-Coordinate Gauss-Newton Optimization and Constrained Monotone Regression for Image Registration in the Presence of Outlier Objects.	IEEE Trans. Image Process.	2008	DBLP DOI BibTeX RDF
19	Cédric Févotte, Bruno Torrésani, Laurent Daudet, Simon J. Godsill	Sparse Linear Regression With Structured Priors and Application to Denoising of Musical Audio.	IEEE Trans. Speech Audio Process.	2008	DBLP DOI BibTeX RDF
19	Kiri L. Wagstaff, Terran Lane, Alex Roper	Multiple-Instance Regression with Structured Data.	ICDM Workshops	2008	DBLP DOI BibTeX RDF
19	Benjamin C. Lee, Jamison D. Collins, Hong Wang 0003, David M. Brooks	CPR: Composable performance regression for scalable multiprocessor models.	MICRO	2008	DBLP DOI BibTeX RDF
19	Long Qin, Yi-Jian Wu, Zhen-Hua Ling, Ren-Hua Wang, Li-Rong Dai 0001	Minumum generation error linear regression based model adaptation for HMM-based speech synthesis.	ICASSP	2008	DBLP DOI BibTeX RDF
19	Mireille Tohmé, Régis Lengellé	F-SVR: A new learning algorithm for support vector regression.	ICASSP	2008	DBLP DOI BibTeX RDF
19	Raquel Urtasun, Trevor Darrell	Sparse probabilistic regression for activity-independent human pose inference.	CVPR	2008	DBLP DOI BibTeX RDF
19	Minyoung Kim, Vladimir Pavlovic 0001	Dimensionality reduction using covariance operator inverse regression.	CVPR	2008	DBLP DOI BibTeX RDF
19	Huaitien Wang, Nang-Fei Pan	A Fuzzy Regression Model for Predicting Non-crisp Variable.	FSKD (1)	2008	DBLP DOI BibTeX RDF
19	Jin Yuan, Kesheng Wang, Tao Yu, Xuemei Liu	Incorporating fuzzy prior knowledge into Relevance Vector Machine regression.	IJCNN	2008	DBLP DOI BibTeX RDF
19	Aloísio Carlos de Pina, Gerson Zaverucha	Combining attributes to improve the performance of Naive Bayes for Regression.	IJCNN	2008	DBLP DOI BibTeX RDF
19	Tobias Bocklet, Andreas K. Maier, Elmar Nöth	Age Determination of Children in Preschool and Primary School Age with GMM-Based Supervectors and Support Vector Machines/Regression.	TSD	2008	DBLP DOI BibTeX RDF
19	Renata M. C. R. de Souza, Francisco José de A. Cysneiros, Diego C. F. Queiroz, Roberta A. de A. Fagundes	Two pattern classifiers for interval data based on binary regression models.	ICDIM	2008	DBLP DOI BibTeX RDF
19	Liang-Hsuan Chen, Chan-Ching Hsueh	A Mathematical Programming Method for Formulating a Fuzzy Regression Model Based on Distance Criterion.	IEEE Trans. Syst. Man Cybern. Part B	2007	DBLP DOI BibTeX RDF
19	C.-C. Chuang	Fuzzy Weighted Support Vector Regression With a Fuzzy Partition.	IEEE Trans. Syst. Man Cybern. Part B	2007	DBLP DOI BibTeX RDF
19	Clayton D. Scott, Mark A. Davenport	Regression Level Set Estimation Via Cost-Sensitive Classification.	IEEE Trans. Signal Process.	2007	DBLP DOI BibTeX RDF
19	John Yannis Goulermas, Panos Liatsis, Xiao-Jun Zeng, Phil Cook	Density-Driven Generalized Regression Neural Networks (DD-GRNN) for Function Approximation.	IEEE Trans. Neural Networks	2007	DBLP DOI BibTeX RDF
19	Juyang Weng, Wey-Shiuan Hwang	Incremental Hierarchical Discriminant Regression.	IEEE Trans. Neural Networks	2007	DBLP DOI BibTeX RDF
19	Karl S. Ni, Truong Q. Nguyen	Image Superresolution Using Support Vector Regression.	IEEE Trans. Image Process.	2007	DBLP DOI BibTeX RDF
19	Shizhen Wang, Xiaodong Cui, Abeer Alwan	Speaker Adaptation With Limited Data Using Regression-Tree-Based Spectral Peak Alignment.	IEEE Trans. Speech Audio Process.	2007	DBLP DOI BibTeX RDF
19	Deng Cai 0001, Xiaofei He 0001, Jiawei Han 0001	Spectral Regression for Efficient Regularized Subspace Learning.	ICCV	2007	DBLP DOI BibTeX RDF
19	Erika M. Chin, Eric K. Garcia, Maya R. Gupta	Color Management of Printers by Regression over Enclosing Neighborhoods.	ICIP (2)	2007	DBLP DOI BibTeX RDF
19	Deng Cai 0001, Xiaofei He 0001, Jiawei Han 0001	Efficient Kernel Discriminant Analysis via Spectral Regression.	ICDM	2007	DBLP DOI BibTeX RDF
19	Álvaro Barbero Jiménez, Jorge López Lázaro, José R. Dorronsoro	Square Penalty Support Vector Regression.	IDEAL	2007	DBLP DOI BibTeX RDF
19	Chengying Mao	Built-in Regression Testing for Component-based Software Systems.	COMPSAC (2)	2007	DBLP DOI BibTeX RDF
19	Jinhua Yu, Yuanyuan Wang 0001, Ping Chen, Yue-Hua Song	Ultrasound Estimation of Fetal Weight with Fuzzy Support Vector Regression.	ISNN (3)	2007	DBLP DOI BibTeX RDF
19	Hua Duan, Weizhen Hou, Guoping He, Qingtian Zeng	Predicting Time Series Using Incremental Langrangian Support Vector Regression.	ISNN (3)	2007	DBLP DOI BibTeX RDF
19	Yury Lifshits, Dirk Nowotka	Estimation of the Click Volume by Large Scale Regression Analysis.	CSR	2007	DBLP DOI BibTeX RDF
19	Fei Sha, Y. Albert Park, Lawrence K. Saul	Multiplicative Updates for L1-Regularized Linear and Logistic Regression.	IDA	2007	DBLP DOI BibTeX RDF
19	Shaohua Kevin Zhou, Jinghao Zhou, Dorin Comaniciu	A boosting regression approach to medical anatomy detection.	CVPR	2007	DBLP DOI BibTeX RDF
19	Woo-han Yun, Do-Hyung Kim 0004, Suyoung Chi, Ho-Sub Yoon	Two-Dimensional Logistic Regression.	ICTAI (2)	2007	DBLP DOI BibTeX RDF
19	Shaohua Kevin Zhou, Dorin Comaniciu	Shape Regression Machine.	IPMI	2007	DBLP DOI BibTeX RDF
19	Sven F. Crone, Swantje Pietsch	A Naïve Support Vector Regression Benchmark for the NN3 Forecasting Competition.	IJCNN	2007	DBLP DOI BibTeX RDF
19	Sheng Chen 0001, Xia Hong 0001, Chris J. Harris	Probability Density Function Estimation Using Orthogonal Forward Regression.	IJCNN	2007	DBLP DOI BibTeX RDF
19	Daria Sorokina, Rich Caruana, Mirek Riedewald	Additive Groves of Regression Trees.	ECML	2007	DBLP DOI BibTeX RDF
19	Leila Naslavsky, Debra J. Richardson	Using traceability to support model-based regression testing.	ASE	2007	DBLP DOI BibTeX RDF	model-driven development, traceability, model-based testing
19	Jens Nilsson 0002, Fei Sha, Michael I. Jordan	Regression on manifolds using kernel dimension reduction.	ICML	2007	DBLP DOI BibTeX RDF
19	Chih-Jen Lin, Ruby C. Weng, S. Sathiya Keerthi	Trust region Newton methods for large-scale logistic regression.	ICML	2007	DBLP DOI BibTeX RDF
19	Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty	Focused crawling with scalable ordinal regression solvers.	ICML	2007	DBLP DOI BibTeX RDF
19	Yixin Chen 0001, Guozhu Dong, Jiawei Han 0001, Jian Pei, Benjamin W. Wah, Jianyong Wang 0001	Regression Cubes with Lossless Compression and Aggregation.	IEEE Trans. Knowl. Data Eng.	2006	DBLP DOI BibTeX RDF	compression, Aggregation, OLAP, data cubes
19	Rajan Alex	A new kind of fuzzy regression modeling and its combination with fuzzy inference.	Soft Comput.	2006	DBLP DOI BibTeX RDF
19	Jonathan E. Fieldsend	Regression Error Characteristic Optimisation of Non-Linear Models.	Multi-Objective Machine Learning	2006	DBLP DOI BibTeX RDF
19	Ping Sun, Xin Yao 0001	Boosting Kernel Models for Regression.	ICDM	2006	DBLP DOI BibTeX RDF
19	Petros Drineas, Michael W. Mahoney, S. Muthukrishnan 0001	Sampling algorithms for l2 regression and applications.	SODA	2006	DBLP DOI BibTeX RDF
19	Jiang Zheng 0001, Brian Robinson, Laurie A. Williams, Karen Smiley	A Lightweight Process for Change Identification and Regression Test Selection in Using COTS Components.	ICCBSS	2006	DBLP DOI BibTeX RDF
19	Tao Xie 0001	Augmenting Automatically Generated Unit-Test Suites with Regression Oracle Checking.	ECOOP	2006	DBLP DOI BibTeX RDF
19	Hong Peng 0001, Jun Wang 0013, Min Tang, Lichun Wan	Nonlinear System Identification Using Multi-resolution Reproducing Kernel Based Support Vector Regression.	ISNN (2)	2006	DBLP DOI BibTeX RDF
19	Yuanyuan Wan, Ji-Xiang Du, Kang Li	A Novel Feature Extraction Approach to Face Recognition Based on Partial Least Squares Regression.	ICIC (1)	2006	DBLP DOI BibTeX RDF
19	Amaury Hazan, Rafael Ramírez 0001, Esteban Maestre, Alfonso Pérez, Antonio Pertusa	Modelling Expressive Performance: A Regression Tree Approach Based on Strongly Typed Genetic Programming.	EvoWorkshops	2006	DBLP DOI BibTeX RDF
19	Jingqing Jiang, Chuyi Song, Chunguo Wu, Maurizio Marchese, Yanchun Liang 0001	Support Vector Machine Regression Algorithm Based on Chunking Incremental Learning.	International Conference on Computational Science (1)	2006	DBLP DOI BibTeX RDF
19	Jianjun Zhao 0001, Tao Xie 0001, Nan Li	Towards regression test selection for AspectJ programs.	WTAOP	2006	DBLP DOI BibTeX RDF
19	Daniel Stronger, Peter Stone	Polynomial Regression with Automated Degree: A Function Approximator for Autonomous Agents.	ICTAI	2006	DBLP DOI BibTeX RDF