Search results for "linear-regression"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
54	Hsien-Chung Wu	Fuzzy linear regression model based on fuzzy scalar product.	Soft Comput.	2008	DBLP DOI BibTeX RDF	Fuzzy linear regression model, Fuzzy scalar (inner) product, Optimization, Fuzzy number, Least squares estimator
54	Gil González-Rodríguez, Ángela Blanco-Fernández, Norberto Corral, Ana Colubi	Least squares estimation of linear regression models for convex compact random sets.	Adv. Data Anal. Classif.	2007	DBLP DOI BibTeX RDF	Convex compact random sets, Set arithmetic approach, Interval-valued data, Set-valued data, Least squares method, Support function, Point estimation, Linear regression model
54	Jen-Tzung Chien, Chih-Hsien Huang	Aggregate a posteriori linear regression adaptation.	IEEE Trans. Speech Audio Process.	2006	DBLP DOI BibTeX RDF
54	Jen-Tzung Chien	Linear regression based Bayesian predictive classification for speech recognition.	IEEE Trans. Speech Audio Process.	2003	DBLP DOI BibTeX RDF
53	Jen-Tzung Chien	Quasi-Bayes linear regression for sequential learning of hidden Markov models.	IEEE Trans. Speech Audio Process.	2002	DBLP DOI BibTeX RDF
51	Pierre Pinson, Henrik Aalborg Nielsen, Henrik Madsen, Torben S. Nielsen	Local linear regression with adaptive orthogonal fitting for the wind power application.	Stat. Comput.	2008	DBLP DOI BibTeX RDF	Wind power, Local linear regression, Modelling, Forecasting, Robust estimation, Nonparametric regression, Adaptive estimation, Total least squares
50	Maarten Keijzer	Scaled Symbolic Regression.	Genet. Program. Evolvable Mach.	2004	DBLP DOI BibTeX RDF	genetic programming, linear regression, symbolic regression
46	David C. Wheeler, Catherine A. Calder	An assessment of coefficient accuracy in linear regression models with spatially varying coefficients.	J. Geogr. Syst.	2007	DBLP DOI BibTeX RDF	Bayesian regression, Geographically weighted regression, Collinearity, MCMC, Simulation study, Spatial statistics
46	Zoran Bosnic, Igor Kononenko 0001	Estimation of individual prediction reliability using the local sensitivity analysis.	Appl. Intell.	2008	DBLP DOI BibTeX RDF
46	Shih-Sian Cheng, Yeong-Yuh Xu, Hsin-Min Wang, Hsin-Chia Fu	Automatic Construction of Regression Class Tree for MLLR Via Model-Based Hierarchical Clustering.	ISCSLP	2006	DBLP DOI BibTeX RDF	regression class tree, speaker adaptation, MLLR
46	Yee Leung, Jiang-Hong Ma, Wen-Xiu Zhang	A New Method for Mining Regression Classes in Large Data Sets.	IEEE Trans. Pattern Anal. Mach. Intell.	2001	DBLP DOI BibTeX RDF	RCMD method, regression class, genetic algorithm, Data mining, robustness, mixture modeling, maximum likelihood method
44	Fan Min 0001, Xindong Wu 0001	Local Semi-linear Regression for River Runoff Forecasting.	CSE (4)	2009	DBLP DOI BibTeX RDF
42	Pau Medrano-Gracia, Jordi Pont-Tuset, Jordi Nin, Victor Muntés-Mulero	Ordered Data Set Vectorization for Linear Regression on Data Privacy.	MDAI	2007	DBLP DOI BibTeX RDF	Privacy in statistical databases, Statistical disclosure risk, Linear regression masking methods, Privacy preserving data mining
42	David S. Vogel, Ognian Asparouhov, Tobias Scheffer	Scalable look-ahead linear regression trees.	KDD	2007	DBLP DOI BibTeX RDF	linear regression tree, regression, predictive model, scalable algorithms, model tree
42	Luís Torgo, Joaquim Pinto da Costa	Clustered Partial Linear Regression.	ECML	2000	DBLP DOI BibTeX RDF	Multi-strategy learning, Category: Long paper, Clustering, Regression, Multiple models
41	Xiaoqing Frank Liu, Kunio Noguchi, Anuj Dhungana, V. V. N. S. N. Srirangam A., Praveen Inuganti	A quantitative approach for setting technical targets based on impact analysis in software quality function deployment (SQFD).	Softw. Qual. J.	2006	DBLP DOI BibTeX RDF	Quality planning, Software quality function deployment (SQFD), Benchmarking, Impact analysis, Linear regression
40	João Gama 0001	Functional Trees for Regression.	IDA	2001	DBLP DOI BibTeX RDF
39	Alin Dobra, Johannes Gehrke	SECRET: a scalable linear regression tree algorithm.	KDD	2002	DBLP DOI BibTeX RDF
39	Rudy Setiono, Arnulfo P. Azcarraga	An Effective Method for Generating Multiple Linear Regression Rules from Artificial Neural Networks.	ICTAI	2001	DBLP DOI BibTeX RDF
39	Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan	Effective and efficient itemset pattern summarization: regression-based approaches.	KDD	2008	DBLP DOI BibTeX RDF	frequency restoration, pattern summarization, regression
37	Heiko Hoffmann, Stefan Schaal, Sethu Vijayakumar	Local Dimensionality Reduction for Non-Parametric Regression.	Neural Process. Lett.	2009	DBLP DOI BibTeX RDF	Locally-weighted regression, Principal component regression, Reduced-rank regression, Principal component analysis, Dimensionality reduction, Correlation, Incremental learning, Factor analysis, Kernel function, Partial least squares
37	Curtis B. Storlie, Jon C. Helton	Multiple predictor smoothing methods for sensitivity analysis.	WSC	2005	DBLP DOI BibTeX RDF
36	Hidenao Abe, Shusaku Tsumoto	Detecting Temporal Trends of Technical Phrases by Using Importance Indices and Linear Regression.	ISMIS	2009	DBLP DOI BibTeX RDF	Text Mining, Linear Regression, TF-IDF, Trend Detection, Jaccard Coefficient
36	Deepak Agarwal, Srujana Merugu	Predictive discrete latent factor models for large scale dyadic data.	KDD	2007	DBLP DOI BibTeX RDF	generalized linear regression, latent factor modeling, co-clustering, dyadic data
36	Sotiris B. Kotsiantis, Dimitris Kanellopoulos, Ioannis D. Zaharakis	Bagged Averaging of Regression Models.	AIAI	2006	DBLP DOI BibTeX RDF
35	Xiujuan Chai, Shiguang Shan, Xilin Chen 0001, Wen Gao 0001	Locally Linear Regression for Pose-Invariant Face Recognition.	IEEE Trans. Image Process.	2007	DBLP DOI BibTeX RDF
34	Hyung Jun Cho, Seung-Mo Hong	Median Regression Tree for Analysis of Censored Survival Data.	IEEE Trans. Syst. Man Cybern. Part A	2008	DBLP DOI BibTeX RDF
34	Petrônio L. Braga, Adriano L. I. Oliveira, Gustavo H. T. Ribeiro, Silvio R. L. Meira	Bagging Predictors for Estimation of Software Project Effort.	IJCNN	2007	DBLP DOI BibTeX RDF
34	Chaoqun Li 0001, Liangxiao Jiang	Using Locally Weighted Learning to Improve SMOreg for Regression.	PRICAI	2006	DBLP DOI BibTeX RDF	SMOreg, locally weighted SMOreg, locally weighted learning, SVM, regression
33	Eufrasio de Andrade Lima Neto, Francisco de A. T. de Carvalho, Camilo P. Tenorio	Univariate and Multivariate Linear Regression Methods to Predict Interval-Valued Features.	Australian Conference on Artificial Intelligence	2004	DBLP DOI BibTeX RDF
33	Mario Castelán, Gustavo A. Puerto Souza, Johan Van Horebeek	Using Subspace Multiple Linear Regression for 3D Face Shape Prediction from a Single Image.	ISVC (2)	2009	DBLP DOI BibTeX RDF
32	Shitong Wang 0001, Jiagang Zhu, Fu-Lai Chung, Lin Qing, Dewen Hu	Theoretically Optimal Parameter Choices for Support Vector Regression Machines with Noisy Input.	Soft Comput.	2005	DBLP DOI BibTeX RDF	Regularized linear regression, Huber loss functions, Norm-r loss functions, Support vectors
32	Robby Goetschalckx, Kurt Driessens, Scott Sanner	Cost-Sensitive Parsimonious Linear Regression.	ICDM	2008	DBLP DOI BibTeX RDF
31	Dug Hun Hong, Changha Hwang	Interval regression analysis using quadratic loss support vector machine.	IEEE Trans. Fuzzy Syst.	2005	DBLP DOI BibTeX RDF
31	Niels Landwehr, Mark A. Hall, Eibe Frank	Logistic Model Trees.	ECML	2003	DBLP DOI BibTeX RDF
30	Chunxia Zhang 0002, Robert P. W. Duin	An Empirical Study of a Linear Regression Combiner on Multi-class Data Sets.	MCS	2009	DBLP DOI BibTeX RDF	Multi-response linear regression (MLR), Trainable combiner, Decision template (DT), Fisher linear discriminant (FLD), Ensemble classifier
30	Areeg Abdalla, James J. Buckley	Monte Carlo methods in fuzzy linear regression II.	Soft Comput.	2008	DBLP DOI BibTeX RDF	Fuzzy linear regression, Random vectors, Monte Carlo
30	Areeg Abdalla, James J. Buckley	Monte Carlo methods in fuzzy linear regression.	Soft Comput.	2007	DBLP DOI BibTeX RDF	Fuzzy linear regression, Random fuzzy vectors, Monte Carlo
30	Abdul Majid, Yeon Soo Lee	Predicting lattice constant of cubic perovskites using support vector regression.	ICIS	2009	DBLP DOI BibTeX RDF	cubic perovskites, lattice constant prediction, support vector regression, linear regression
30	Bindu Goel, Yogesh Singh	Empirical Investigation of Metrics for Fault Prediction on Object-Oriented Software.	Computer and Information Science	2008	DBLP DOI BibTeX RDF	fault prone classes, OO metrics, software engineering, prediction models, logistic regression, linear regression
30	István Juhos, László Makra, Balázs Tóth	The behaviour of the multi-layer perceptron and the support vector regression learning methods in the prediction of NO and NO2 concentrations in Szeged, Hungary.	Neural Comput. Appl.	2009	DBLP DOI BibTeX RDF	Support vector machines, Artificial neural networks, Forecast, Support vector regression, Multi-layer perceptron
30	Ben Q. Liu, Dale Goodhue	An Exploration of the Hygiene and Motivator Aspects of WebQual Constructs in Predicting Website Reuse.	HICSS	2008	DBLP DOI BibTeX RDF
30	Michelangelo Ceci, Annalisa Appice, Donato Malerba	Simplification Methods for Model Trees with Regression and Splitting Nodes.	MLDM	2003	DBLP DOI BibTeX RDF
29	Kenneth L. Clarkson, David P. Woodruff	Numerical linear algebra in the streaming model.	STOC	2009	DBLP DOI BibTeX RDF	linear regression, low-rank approximation, matrix product
29	Yan Huang 0010, Kannappan Palaniappan, Xinhua Zhuang, Joseph E. Cavanaugh	Optic Flow Field Segmentation and Motion Estimation Using a Robust Genetic Partitioning Algorithm.	IEEE Trans. Pattern Anal. Mach. Intell.	1995	DBLP DOI BibTeX RDF	optic flow field segmentation, genetic algorithm, motion estimation, robust estimation, linear regression
29	Rudy Setiono	Generating Linear Regression Rules from Neural Networks Using Local Least Squares Approximation.	IWANN (1)	2001	DBLP DOI BibTeX RDF
29	Sebastian Nusser, Clemens Otte, Werner Hauptmann	An EM-Based Piecewise Linear Regression Algorithm.	HAIS	2008	DBLP DOI BibTeX RDF
28	Wei Fan 0001, Joe McCloskey, Philip S. Yu	A general framework for accurate and fast regression by data summarization in random decision trees.	KDD	2006	DBLP DOI BibTeX RDF	decision trees, random, regression
28	C. K. Kwong 0001, Y. Chen, Kit Yan Chan, Heung Wong	The Hybrid Fuzzy Least-Squares Regression Approach to Modeling ManufacturingProcesses.	IEEE Trans. Fuzzy Syst.	2008	DBLP DOI BibTeX RDF
28	Diana Porro, Noslén Hernández-González, Isneri Talavera-Bustamante, Oneisys Núñez, Angel Dago, Rolando J. Biscay	Performance evaluation of relevance vector machines as a nonlinear regression method in real-world chemical spectroscopic data.	ICPR	2008	DBLP DOI BibTeX RDF
28	Xin Jin, Zhaodong Liu, Rongfang Bie, Guoxing Zhao, Jixin Ma 0001	Support Vector Machines for Regression and Applications to Software Quality Prediction.	International Conference on Computational Science (4)	2006	DBLP DOI BibTeX RDF
27	Marcel Jirina, Marcel Jirina Jr.	Cloning for Heteroscedasticity Elimination in GMDH Learning Procedure.	UC	2009	DBLP DOI BibTeX RDF	Gauss-Markov conditions, genetic selection, classification, linear regression, cloning, Multivariate data, GMDH
27	Francisco de A. T. de Carvalho, Eufrasio de Andrade Lima Neto, Camilo P. Tenorio	A New Method to Fit a Linear Regression Model for Interval-Valued Data.	KI	2004	DBLP DOI BibTeX RDF
27	Giancarlo Ferrari-Trecate, Marco Muselli	A New Learning Method for Piecewise Linear Regression.	ICANN	2002	DBLP DOI BibTeX RDF
27	Polyxeni Zacharouli, Michalis K. Titsias, Michalis Vazirgiannis	Web Page Rank Prediction with PCA and EM Clustering.	WAW	2009	DBLP DOI BibTeX RDF
27	Xia Bin, Zhao Cang	The Application of Multiple Regression Analysis Forecast in Economical Forecast: The Demand Forecast of Our Country Industry Lavation Machinery in the Year of 2008 and 2009.	WKDD	2009	DBLP DOI BibTeX RDF
27	Niels Landwehr, Mark A. Hall, Eibe Frank	Logistic Model Trees.	Mach. Learn.	2005	DBLP DOI BibTeX RDF	classification, logistic regression, model trees
27	Dong Kook Kim, Nam Soo Kim	Rapid online adaptation based on transformation space model evolution.	IEEE Trans. Speech Audio Process.	2005	DBLP DOI BibTeX RDF
27	Tolga Aydin, H. Altay Güvenir	An Eager Regression Method Based on Best Feature Projections.	IEA/AIE	2001	DBLP DOI BibTeX RDF	Feature Projection, Prediction, Regression
26	Tales Benigno Matos, Angelo Brayner, José Everardo Bessa Maia	Towards in-network data prediction in wireless sensor networks.	SAC	2010	DBLP DOI BibTeX RDF	in-network data prediction, in-network query processing, wireless sensor networks, linear regression
26	Abdul Majid, Muhammad Farooq Ahmad, Tae-Sun Choi	Lattice Constant Prediction of A2BB'O6 Type Double Perovskites.	ICCSA (2)	2009	DBLP DOI BibTeX RDF	Lattice Constant, Double Cubic Perovskites, Artificial Neural Network, Support Vector Regression, Multiple Linear Regression
26	Robert Levinson, Ryan Weber	Chess Neighborhoods, Function Combination, and Reinforcement Learning.	Computers and Games	2000	DBLP DOI BibTeX RDF	value function approximation, exponentiated gradient, multi-layer neural nets, reinforcement learning, linear regression, gradient descent, temporal difference learning, computer chess
26	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
26	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
26	Malik Magdon-Ismail, Joseph Sill	A linear fit gets the correct monotonicity directions.	Mach. Learn.	2008	DBLP DOI BibTeX RDF	Isotonic, Learning, Regression, Hints, Sample complexity, Order constraints
26	Jieping Ye	Least squares linear discriminant analysis.	ICML	2007	DBLP DOI BibTeX RDF
26	Malik Magdon-Ismail, Joseph Sill	Using a Linear Fit to Determine Monotonicity Directions.	COLT	2003	DBLP DOI BibTeX RDF
25	Jun-peng Guo, Wen-hua Li	Regression Analysis of Interval Data Based on Error Theory.	ICNSC	2008	DBLP DOI BibTeX RDF
25	Li Wang 0007, Michael D. Gordon, Ji Zhu	Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter Tuning.	ICDM	2006	DBLP DOI BibTeX RDF
25	Jo-Anne Ting, Aaron D'Souza, Stefan Schaal	Bayesian regression with input noise for high dimensional data.	ICML	2006	DBLP DOI BibTeX RDF
25	Chao Liu 0001, Ming Zhang 0004, Minrui Zheng, Yixin Chen 0001	Step-by-Step Regression: A More Efficient Alternative for Polynomial Multiple Linear Regression in Stream Cube.	PAKDD	2003	DBLP DOI BibTeX RDF
24	Imran Naseem, Roberto Togneri, Mohammed Bennamoun	Linear Regression for Face Recognition.	IEEE Trans. Pattern Anal. Mach. Intell.	2010	DBLP DOI BibTeX RDF	nearest subspace classification, Face recognition, linear regression
24	Gaofeng Wei, Hongxu Jiang, Rui Yang	Linear-Regression Model Based Wavelet Filter Evaluation for Image Compression.	APWCS	2010	DBLP DOI BibTeX RDF	wavelet filter evaluation, image compression, discrete wavelet transform, JPEG2000, linear-regression
24	Peter McCullagh, Vladimir Vovk, Ilia Nouretdinov, Dmitry Devetyarov, Alex Gammerman	Conditional Prediction Intervals for Linear Regression.	ICMLA	2009	DBLP DOI BibTeX RDF	conditional inference, prediction intervals, Markov chain Monte Carlo, linear regression
24	Chin-Chen Chang 0001, Yeu-Pong Lai	An Enhancement of JPEG Still Image Compression with Adaptive Linear Regression and Golomb-Rice Coding.	HIS (3)	2009	DBLP DOI BibTeX RDF	Golomb-Rice coding, JPEG, linear regression
24	Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums	A bayesian mixture model with linear regression mixing proportions.	KDD	2008	DBLP DOI BibTeX RDF	bayesian mixture model, mixing proportion, linear regression, gibbs sampler
24	Mustafa Ç. Pinar	Finite Computation of the l1 Estimator from Huber's M-Estimator in Linear Regression.	Computing	2004	DBLP DOI BibTeX RDF	the 1 estimator, hubers M-estimator, finite algorithms, Multiple linear regression
24	Yun-Hee Han, Keun-Chang Kwak 0001	Combining Global Model and Local Adaptive Neuro-Fuzzy Network.	ICIC (2)	2009	DBLP DOI BibTeX RDF	local adaptive neuro-fuzzy network, context-based fuzzy c-means, linear regression, information granules, global model
24	Xiujuan Chai, Shiguang Shan, Xilin Chen 0001, Wen Gao 0001	Local Linear Regression (LLR) for Pose Invariant Face Recognition.	FGR	2006	DBLP DOI BibTeX RDF
24	R. Pradeep Kumar, P. Nagabhushan	WaveSim Transform for Multi-channel Signal Data Mining Through Linear Regression PCA .	ADMA	2006	DBLP DOI BibTeX RDF
24	Junichi Yamagishi, Takao Kobayashi, Yuji Nakano, Katsumi Ogata, Juri Isogai	Analysis of Speaker Adaptation Algorithms for HMM-Based Speech Synthesis and a Constrained SMAPLR Adaptation Algorithm.	IEEE Trans. Speech Audio Process.	2009	DBLP DOI BibTeX RDF
24	Brian Kan-Wing Mak, Tsz-Chung Lai, Ivor W. Tsang, James Tin-Yau Kwok	Maximum Penalized Likelihood Kernel Regression for Fast Adaptation.	IEEE Trans. Speech Audio Process.	2009	DBLP DOI BibTeX RDF
24	Duy Nguyen-Tuong, Jan Peters 0001	Local Gaussian process regression for real-time model-based robot control.	IROS	2008	DBLP DOI BibTeX RDF
24	José Nuno Fidalgo, Manuel A. Matos	Forecasting Portugal Global Load with Artificial Neural Networks.	ICANN (2)	2007	DBLP DOI BibTeX RDF	Artificial neural networks, load forecasting
24	Su-Fen Chen, Hui Sun	Application of Swarm Intelligence Algorithm to Improve on Multiple Regression.	GrC	2007	DBLP DOI BibTeX RDF
23	Anabela Simões, Ernesto Costa	Improving prediction in evolutionary algorithms for dynamic environments.	GECCO	2009	DBLP DOI BibTeX RDF	evolutionary algorithms, prediction, markov chains, dynamic environments, linear regression
23	Jieping Ye, Jianhui Chen, Ravi Janardan, Sudhir Kumar 0001	Developmental stage annotation of Drosophila gene expression pattern images via an entire solution path for LDA.	ACM Trans. Knowl. Discov. Data	2008	DBLP DOI BibTeX RDF	Gene expression pattern image, dimensionality reduction, linear discriminant analysis, linear regression
23	Nasiha Hrustemovic, Maya R. Gupta	Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management.	ICIP	2008	DBLP DOI BibTeX RDF
23	Gabriel Ibarra-Berastegi, Ana Elias, R. Arias, Astrid Barona	Artificial Neural Networks vs Linear Regression in a Fluid Mechanics and Chemical Modelling Problem: Elimination of Hydrogen Sulphide in a Lab-Scale Biofilter.	AICCSA	2007	DBLP DOI BibTeX RDF
23	Jürgen Forster	On Relative Loss Bounds in Generalized Linear Regression.	FCT	1999	DBLP DOI BibTeX RDF
23	Tushar Kumar Pratihar, Dilip Kumar Pratihar	Cluster-wise Design of Takagi and Sugeno Approach of Fuzzy Logic Controller.	Engineering Evolutionary Intelligent Systems	2008	DBLP DOI BibTeX RDF
22	Nitthita Chirdchoo, Wee-Seng Soh, Kee Chaing Chua	MU-Sync: a time synchronization protocol for underwater mobile networks.	Underwater Networks	2008	DBLP DOI BibTeX RDF	high latency networks, sensor networks, clock synchronization, underwater acoustic sensor networks
22	Vivek Agarwal, Andrei V. Gribok, Andreas F. Koschan, Mongi A. Abidi	Estimating Illumination Chromaticity via Kernel Regression.	ICIP	2006	DBLP DOI BibTeX RDF
21	Hiroshi Konno, Rei Yamamoto	Choosing the best set of variables in regression analysis using integer programming.	J. Glob. Optim.	2009	DBLP DOI BibTeX RDF	Least absolute deviation, 0-1 integer programming, Linear regression, Variable selection, Cardinality constraint
21	Hee Beng Kuan Tan, Yuan Zhao, Hongyu Zhang 0002	Conceptual data model-based software size estimation for information systems.	ACM Trans. Softw. Eng. Methodol.	2009	DBLP DOI BibTeX RDF	line of code (LOC), multiple linear regression model, Software sizing, conceptual data model
21	Katherine Forbes-Riley, Mihai Rotaru, Diane J. Litman	The relative impact of student affect on performance models in a spoken dialogue tutoring system.	User Model. User Adapt. Interact.	2008	DBLP DOI BibTeX RDF	Adaptive spoken dialogue systems, Tutorial dialogue systems, System performance modeling, Emotional speech, Discourse structure, Multiple linear regression, Affective user modeling
21	Marc Aoun, Anthony Schoofs, Peter van der Stok	Efficient time synchronization for wireless sensor networks in an industrial setting.	SenSys	2008	DBLP DOI BibTeX RDF	kalman filter, time synchronization, linear regression, time-stamping, clock drift
21	Hyunjo Lee, Nihad Karim Chowdhury, Jae-Woo Chang	A New Travel Time Prediction Method for Intelligent Transportation Systems.	KES (1)	2008	DBLP DOI BibTeX RDF	travel time prediction, Naïve Bayesian Classification, Intelligent transportation system (ITS), linear regression
21	Yi Jin, Dongchen Jiang, Shuai Yuan, Jianting Cao, Lili Wang, Gang Zhou	OD Count Estimation Based on Link Count Data.	APNOMS	2008	DBLP DOI BibTeX RDF	OD Count, Link Count, Multivariate Linear Regression, Traffic Matrix
21	Noriaki Sato, Michiko Anse, Tsutomu Tabe	A Method for Constructing a Movie-Selection Support System Based on Kansei Engineering.	HCI (8)	2007	DBLP DOI BibTeX RDF	multiple linear regression analysis, factor-analysis, Kansei, retrieval system