Search results for "Linear models"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
2	Leon Bobrowski	Ranked linear models and sequential patterns recognition.	Pattern Anal. Appl.	2009	DBLP DOI BibTeX RDF	Ranked linear transformations, Convex and piecewise linear (CPL) criterion functions, Linear separability of data sets, Feature selection, Sequential patterns
2	Samuel Robert Reid, Gregory Z. Grudic	Regularized Linear Models in Stacked Generalization.	MCS	2009	DBLP DOI BibTeX RDF
2	Sudhir Raman, Volker Roth	Sparse Bayesian Regression for Grouped Variables in Generalized Linear Models.	DAGM-Symposium	2009	DBLP DOI BibTeX RDF
2	Roberto Paredes, Adrian Ulges, Thomas M. Breuel	Fast Discriminative Linear Models for Scalable Video Tagging.	ICMLA	2009	DBLP DOI BibTeX RDF	Video tagging, Fast learning, Linear Models
2	Thibault Helleputte, Pierre Dupont	Partially supervised feature selection with regularized linear models.	ICML	2009	DBLP DOI BibTeX RDF
2	Hannes Nickisch, Matthias W. Seeger	Convex variational Bayesian inference for large scale generalized linear models.	ICML	2009	DBLP DOI BibTeX RDF
2	Dong Song, Anoop Sarkar	Training Global Linear Models for Chinese Word Segmentation.	Canadian Conference on AI	2009	DBLP DOI BibTeX RDF
2	Georg Heigold, Thomas Deselaers, Ralf Schlüter, Hermann Ney	A GIS-like training algorithm for log-linear models with hidden variables.	ICASSP	2008	DBLP DOI BibTeX RDF
2	Daniela Ichim	Extensions of the Re-identification Risk Measures Based on Log-Linear Models.	Privacy in Statistical Databases	2008	DBLP DOI BibTeX RDF	sample uniques, smoothness, Statistical disclosure control, microdata, log-linear model
2	Qiao Chen, Lijie Wang, Stephen Westland	A Perceptual Study of Linear Models of Spectral Reflectance.	CSSE	2008	DBLP DOI BibTeX RDF
2	Irina Rish, Genady Grabarnik, Guillermo A. Cecchi, Francisco Pereira, Geoffrey J. Gordon	Closed-form supervised dimensionality reduction with generalized linear models.	ICML	2008	DBLP DOI BibTeX RDF
2	Yilei Xu, Amit K. Roy Chowdhury	A theoretical analysis of linear and multi-linear models of image appearance.	CVPR	2008	DBLP DOI BibTeX RDF
2	Irène Gannaz	Robust estimation and wavelet thresholding in partially linear models.	Statistics and Computing	2007	DBLP DOI BibTeX RDF	Semi-nonparametric models, Partially linear models, Wavelet thresholding, Backfitting, Penalized least-squares, M-estimation
2	Abraham Bernstein, Jayalath Ekanayake, Martin Pinzger	Improving defect prediction using temporal features and non linear models.	IWPSE	2007	DBLP DOI BibTeX RDF	decision tree learner, mining software repository, defect prediction
2	Matthias Seeger, Sebastian Gerwinn, Matthias Bethge	Bayesian Inference for Sparse Generalized Linear Models.	ECML	2007	DBLP DOI BibTeX RDF
2	Galen Andrew, Jianfeng Gao	Scalable training of L1-regularized log-linear models.	ICML	2007	DBLP DOI BibTeX RDF
2	Ghada Abdelmouez, Sherif Hashem, Amir F. Atiya, Mohamed A. El-Gamal	Neural Network vs. Linear Models for Stock Market Sectors Forecasting.	IJCNN	2007	DBLP DOI BibTeX RDF
2	P. Xu	Voronoi Cells, Probabilistic Bounds, and Hypothesis Testing in Mixed Integer Linear Models.	IEEE Transactions on Information Theory	2006	DBLP DOI BibTeX RDF
2	Arpit Mathur, Soumen Chakrabarti	Accelerating Newton Optimization for Log-Linear Models through Feature Redundancy.	ICDM	2006	DBLP DOI BibTeX RDF
2	Florian Hoppe, Gerald Sommer	Fusion Algorithm for Locally Arranged Linear Models.	ICPR	2006	DBLP DOI BibTeX RDF
2	Florian Hoppe, Gerald Sommer	Fusion Algorithm for Locally Arranged Linear Models.	ICPR	2006	DBLP DOI BibTeX RDF
2	Bisser Raytchev, Ikushi Yoda, Katsuhiko Sakaue	Multi-View Face Recognition By Nonlinear Dimensionality Reduction And Generalized Linear Models.	FG	2006	DBLP DOI BibTeX RDF
2	Phil Blunsom, Krystle Kocik, James R. Curran	Question classification with log-linear models.	SIGIR	2006	DBLP DOI BibTeX RDF	machine learning, question answering, maximum entropy, question classification
2	Lee A. D. Cooper, Jun Liu, Kun Huang	Spatial Segmentation of Temporal Texture Using Mixture Linear Models.	WDV	2006	DBLP DOI BibTeX RDF
2	Andre Alves Portela Santos, Leandro dos Santos Coelho	Neural Networks, Fuzzy System, and Linear Models in Forecasting Exchange Rates: Comparison and Case Studies.	IJCNN	2006	DBLP DOI BibTeX RDF
2	Ryo Yoshida, Seiya Imoto, Tomoyuki Higuchi	Estimating Time-Dependent Gene Networks from Time Series Microarray Data by Dynamic Linear Models with Markov Switching.	CSB	2005	DBLP DOI BibTeX RDF
2	Leon Bobrowski	Ranked Modelling with Feature Selection Based on the CPL Criterion Functions.	MLDM	2005	DBLP DOI BibTeX RDF	Ranked linear models, convex and piecewise linear (CPL) criterion functions, linear separability of data sets, feature selection
2	Peter K. Dunn, Gordon K. Smyth	Series evaluation of Tweedie exponential dispersion model densities.	Statistics and Computing	2005	DBLP DOI BibTeX RDF	linear exponential family, power variance function, inverse-Gaussian distribution, compound Poisson distributions, stable distributions, maximum likelihood estimation, Poisson distribution, gamma distribution, generalized linear models
2	Fabio Rapallo	Algebraic exact inference for rater agreement models.	Statistical Methods and Applications	2005	DBLP DOI BibTeX RDF	Cohen's kappa, Conditional inference, Diaconis-Sturmfels algorithm, Log-linear models
2	Yun-Seog Yeun, Won-Sun Ruy, Young-Soon Yang, Nam-Joon Kim	Implementing linear models in genetic programming.	IEEE Trans. Evolutionary Computation	2004	DBLP DOI BibTeX RDF
2	Giuseppe Carenini, John Loyd	ValueCharts: analyzing linear models expressing preferences and evaluations.	AVI	2004	DBLP DOI BibTeX RDF	evaluative index, information visualization, interactive techniques, decision analysis, linear model, preference model
2	Kun Huang, Allen Y. Yang, Yi Ma	Sparse representation of images with hybrid linear models.	ICIP	2004	DBLP DOI BibTeX RDF
2	Stefan Leyk, Niklaus E. Zimmermann	A Predictive Uncertainty Model for Field-Based SurveyMaps Using Generalized Linear Models.	GIScience	2004	DBLP DOI BibTeX RDF
2	Amr Kamel, Paul G. Sorenson	The Application of Capture-Recapture Log-Linear Models To Software Inspections Data.	ISESE	2003	DBLP DOI BibTeX RDF
2	Mary Kathryn Cowles	MCMC Sampler Convergence Rates for Hierarchical Normal Linear Models: A Simulation Approach.	Statistics and Computing	2002	DBLP DOI BibTeX RDF	agricultural field trials, total variation distance, Bayesian models, Gibbs sampler
2	Murray Aitkin, Roberto Rocci	A general maximum likelihood analysis of measurement error in generalized linear models.	Statistics and Computing	2002	DBLP DOI BibTeX RDF	random effects GLM, nonparametric maximum likelihood, EM algorithm, mixture model, measurement error, Gaussian quadrature
2	Darren J. Wilkinson, Stephen K. H. Yeung	Conditional simulation from highly structured Gaussian systems, with application to blocking-MCMC for the Bayesian analysis of very large linear models.	Statistics and Computing	2002	DBLP DOI BibTeX RDF	block sampling, linear Bayes models, nested hierarchical random effects, DAG propagation, local computation
2	Peter A. Dinda, David R. O'Hallaron	An Evaluation of Linear Models for Host Load Prediction. (PDF / PS)	HPDC	1999	DBLP DOI BibTeX RDF
2	Stefan Riezler	Learning Log-Linear Models on Constraint-Based Grammars for Disambiguation.	Learning Language in Logic	1999	DBLP DOI BibTeX RDF
2	Niels Mørch, Lars Kai Hansen, Stephen C. Strother, Claus Svarer, David A. Rottenberg, Benny Lautrup, Robert L. Savoy, Olaf B. Paulson	Nonlinear versus Linear Models in Functional Neuroimaging: Learning Curves and Generalization Crossover.	IPMI	1997	DBLP DOI BibTeX RDF	Multivariate brain modeling, ill-posed learning, generalization, learning curves
2	Thomas Vetter, Michael J. Jones, Tomaso Poggio	A bootstrapping algorithm for learning linear models of object classes.	CVPR	1997	DBLP DOI BibTeX RDF	bootstrapping algorithm, prototypical images, pixelwise correspondence, frontal face images, computer vision, synthesis, recognition, correspondence, linear models, object classes
2	Marie Cottrell, Patrick Rousset	The Kohonen Algorithm: A Powerful Tool for Analyzing and Representing Multidimensional Quantitative and Qualitative Data.	IWANN	1997	DBLP DOI BibTeX RDF	multidimensional data analysis, general non linear models, neural networks, classification, Kohonen maps
2	Jovan Dj. Golic	Linear Models for Keystream Generators.	IEEE Trans. Computers	1996	DBLP DOI BibTeX RDF	Clock-controlled shift registers, cryptography, correlation coefficients, linear models, keystream generators
2	Kalavai J. Raghunath, Vladimir Cherkassky	Noise Performance of Linear Associative Memories.	IEEE Trans. Pattern Anal. Mach. Intell.	1994	DBLP DOI BibTeX RDF	linear associative memories, generalized inverse, training noise, S/N ratio gain, auto-associative modes, hetero-associative modes, correlation memory, noise performance, noise, neural nets, content-addressable storage, linear models, correlation matrix memory
2	Olivier Adam, Jean-Luc Zarader, Maurice Milgram	Identification and Prediction of Non-Linear Models with Recurrent Neural Network.	IWANN	1993	DBLP DOI BibTeX RDF
2	Jian Ho, Brian V. Funt, Mark S. Drew	Separating a Color Signal into Illumination and Surface Reflectance Components: Theory and Applications.	IEEE Trans. Pattern Anal. Mach. Intell.	1990	DBLP DOI BibTeX RDF	color signal, finite-dimensional linear models, chromatic aberration effects, colour vision, computer vision, reflectivity, illumination, color constancy, optical sensor, surface reflectance
1	S. M. Enayetur Raheem, S. Ejaz Ahmed, Kjell A. Doksum	Absolute penalty and shrinkage estimation in partially linear models.	Computational Statistics & Data Analysis	2012	DBLP DOI BibTeX RDF
1	Nicole H. Augustin, Erik-André Sauleau, Simon N. Wood	On quantile quantile plots for generalized linear models.	Computational Statistics & Data Analysis	2012	DBLP DOI BibTeX RDF
1	Thomas Deselaers, Tobias Gass, Georg Heigold, Hermann Ney	Latent Log-Linear Models for Handwritten Digit Classification.	IEEE Trans. Pattern Anal. Mach. Intell.	2012	DBLP DOI BibTeX RDF
1	Der-Chiang Li, Wen-Chih Chen, Chiao-Wen Liu, Che-Jung Chang, Chien-Chih Chen	Determining manufacturing parameters to suppress system variance using linear and non-linear models.	Expert Syst. Appl.	2012	DBLP DOI BibTeX RDF
1	Simos G. Meintanis, Jochen Einbeck	Goodness-of-fit tests in semi-linear models.	Statistics and Computing	2012	DBLP DOI BibTeX RDF
1	David J. Nott, Minh-Ngoc Tran, Chenlei Leng	Variational approximation for heteroscedastic linear models and matching pursuit algorithms.	Statistics and Computing	2012	DBLP DOI BibTeX RDF
1	Jonathan J. Forster, Roger C. Gill, Antony M. Overstall	Reversible jump methods for generalised linear models and generalised linear mixed models.	Statistics and Computing	2012	DBLP DOI BibTeX RDF
1	David J. Nott, Minh-Ngoc Tran, Chenlei Leng	Variational approximation for heteroscedastic linear models and matching pursuit algorithms.	Statistics and Computing	2012	DBLP DOI BibTeX RDF
1	Astrid Jourdan	Global sensitivity analysis using complex linear models.	Statistics and Computing	2012	DBLP DOI BibTeX RDF
1	D. Fouskakis	Bayesian variable selection in generalized linear models using a combination of stochastic optimization methods.	European Journal of Operational Research	2012	DBLP DOI BibTeX RDF
1	Guoyou Qin, Yang Bai, Zhong Yi Zhu	Robust empirical likelihood inference for generalized partial linear models with longitudinal data.	J. Multivariate Analysis	2012	DBLP DOI BibTeX RDF
1	Jon Fox, Donald E. Brown	Using Temporal Indicator Functions with Generalized Linear Models for Spatial-Temporal Event Prediction.	Procedia CS	2012	DBLP DOI BibTeX RDF
1	Lihong Li, Wei Chu, John Langford, Taesup Moon, Xuanhui Wang	Bandits with Generalized Linear Models.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Zhan Xu, Jeonghan Ko, David J. Cochran, Myung-Chul Jung	Design of assembly lines with the concurrent consideration of productivity and upper extremity musculoskeletal disorders using linear models.	Computers & Industrial Engineering	2012	DBLP DOI BibTeX RDF
1	Horacio G. Rotstein, Stephen Coombes, Ana Maria Gheorghe	Canard-Like Explosion of Limit Cycles in Two-Dimensional Piecewise-Linear Models of FitzHugh-Nagumo Type.	SIAM J. Applied Dynamical Systems	2012	DBLP DOI BibTeX RDF
1	Gilad Lerman, Michael McCoy, Joel A. Tropp, Teng Zhang	Robust computation of linear models, or How to find a needle in a haystack	CoRR	2012	DBLP BibTeX RDF
1	Jianwen Xu, Hu Yang	On the Preliminary Test Backfitting and Speckman Estimators in Partially Linear Models and Numerical Comparisons.	Communications in Statistics - Simulation and Computation	2012	DBLP DOI BibTeX RDF
1	Tahira Jamil, Cajo J. F. ter Braak	Selection properties of type II maximum likelihood (empirical Bayes) in linear models with individual variance components for predictors.	Pattern Recognition Letters	2012	DBLP DOI BibTeX RDF
1	Dierck Matern, Alexandru Paul Condurache, Alfred Mertins	Event Detection using Log-linear Models for Coronary Contrast Agent Injections.	ICPRAM	2012	DBLP BibTeX RDF
1	Kevin R. Keane, Jason J. Corso	Dynamically Mixing Dynamic Linear Models with Applications in Finance.	ICPRAM	2012	DBLP BibTeX RDF
1	Malgorzata Zak-Szatkowska, Malgorzata Bogdan	Modified versions of the Bayesian Information Criterion for sparse Generalized Linear Models.	Computational Statistics & Data Analysis	2011	DBLP DOI BibTeX RDF
1	Nobuoki Eshima, Minoru Tabata	Three predictive power measures for generalized linear models: The entropy coefficient of determination, the entropy correlation coefficient and the regression correlation coefficient.	Computational Statistics & Data Analysis	2011	DBLP DOI BibTeX RDF
1	Min Chen, Xinlei Wang	Approximate predictive densities and their applications in generalized linear models.	Computational Statistics & Data Analysis	2011	DBLP DOI BibTeX RDF
1	Göran Broström, Henrik Holmberg	Generalized linear models with clustered data: Fixed and random effects models.	Computational Statistics & Data Analysis	2011	DBLP DOI BibTeX RDF
1	F. Picard, E. Lebarbier, E. Budinskà, S. Robin	Joint segmentation of multivariate Gaussian processes using mixed linear models.	Computational Statistics & Data Analysis	2011	DBLP DOI BibTeX RDF
1	Germán Ibacache-Pulgar, Gilberto A. Paula	Local influence for Student-t partially linear models.	Computational Statistics & Data Analysis	2011	DBLP DOI BibTeX RDF
1	Chung-Wei Shen, Tsung-Shan Tsou, N. Balakrishnan	Robust likelihood inference for regression parameters in partially linear models.	Computational Statistics & Data Analysis	2011	DBLP DOI BibTeX RDF
1	Matthias W. Seeger, Hannes Nickisch	Large Scale Bayesian Inference and Experimental Design for Sparse Linear Models.	SIAM J. Imaging Sciences	2011	DBLP DOI BibTeX RDF
1	A. j. Agopian, Laura E. Mitchell	MI-GWAS: a SAS platform for the analysis of inherited and maternal genetic effects in genome-wide association studies using log-linear models.	BMC Bioinformatics	2011	DBLP DOI BibTeX RDF
1	Ahmad Kalhor, Babak Nadjar Araabi, Caro Lucas	Reducing the number of local linear models in neuro-fuzzy modeling: A split-and-merge clustering approach.	Appl. Soft Comput.	2011	DBLP DOI BibTeX RDF
1	Gulseren Dagdelenler, Ebru Akcapinar Sezer, Candan Gokceoglu	Some non-linear models to predict the weathering degrees of a granitic rock from physical and mechanical parameters.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	Zhou Zhou, Weibiao Wu	On linear models with long memory and heavy-tailed errors.	J. Multivariate Analysis	2011	DBLP DOI BibTeX RDF
1	Yongsong Qin, Yinghua Li	Empirical likelihood for linear models under negatively associated errors.	J. Multivariate Analysis	2011	DBLP DOI BibTeX RDF
1	Lauren Hannah, David M. Blei, Warren B. Powell	Dirichlet Process Mixtures of Generalized Linear Models.	Journal of Machine Learning Research	2011	DBLP BibTeX RDF
1	Edward Challis, David Barber	Concave Gaussian Variational Approximations for Inference in Large-Scale Bayesian Linear Models.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Emily B. Fox, Erik B. Sudderth, Michael I. Jordan, Alan S. Willsky	Bayesian Nonparametric Inference of Switching Dynamic Linear Models.	IEEE Transactions on Signal Processing	2011	DBLP DOI BibTeX RDF
1	Naveen Kumar, Christina Mastrangelo, Doug Montgomery	Hierarchical modeling using generalized linear models.	Quality and Reliability Eng. Int.	2011	DBLP DOI BibTeX RDF
1	Rémi Flamary, Alain Rakotomamonjy	Decoding finger movements from ECoG signals using switching linear models	CoRR	2011	DBLP BibTeX RDF
1	Róbert Ormándi, István Hegedüs, Márk Jelasity	Efficient P2P Ensemble Learning with Linear Models on Fully Distributed Data	CoRR	2011	DBLP BibTeX RDF
1	Ronald L. Westra, Mihály Petreczky, Ralf L. M. Peeters	Identification of Piecewise Linear Models of Complex Dynamical Systems	CoRR	2011	DBLP BibTeX RDF
1	Georg Heigold, Hermann Ney, Patrick Lehnen, Tobias Gass, Ralf Schlüter	Equivalence of Generative and Log-Linear Models.	IEEE Transactions on Audio, Speech & Language Processing	2011	DBLP DOI BibTeX RDF
1	Yotaro Kubo, Simon Wiesler, Ralf Schlüter, Hermann Ney, Shinji Watanabe, Atsushi Nakamura, Tetsunori Kobayashi	Subspace pursuit method for kernel-log-linear models.	ICASSP	2011	DBLP DOI BibTeX RDF
1	Jianlong Qi, Tom Michoel, Gregory Butler	Applying Linear Models to Learn Regulation Programs in a Transcription Regulatory Module Network.	EvoBio	2011	DBLP DOI BibTeX RDF
1	Marcin Czajkowski, Marek Kretowski	An Evolutionary Algorithm for Global Induction of Regression Trees with Multivariate Linear Models.	ISMIS	2011	DBLP DOI BibTeX RDF
1	E. M. Rivera, Z. Irizarry, Matilde Luz Sánchez Peña, C. E. Isaza, J. Seguel, Mauricio Cabrera-Ríos	Consistent detection of cancer biomarkers with linear models.	BIBM Workshops	2011	DBLP DOI BibTeX RDF
1	Brian E. Howard, Paola Veronese, Steffen Heber	Improved RNA-Seq Partitions in Linear Models for Isoform Quantification.	BIBM	2011	DBLP DOI BibTeX RDF
1	Chien-Feng Huang, Tsung-Nan Hsieh, Bao Rong Chang, Chih-Hsiang Chang	A comparative study of stock scoring using regression and genetic-based linear models.	GrC	2011	DBLP DOI BibTeX RDF
1	Skander Mensi, Richard Naud, Wulfram Gerstner	From Stochastic Nonlinear Integrate-and-Fire to Generalized Linear Models.	NIPS	2011	DBLP BibTeX RDF
1	Uros Kalabic, Ilya V. Kolmanovsky, Julia Buckland, Elmer G. Gilbert	Reference and extended command governors for control of turbocharged gasoline engines based on linear models.	CCA	2011	DBLP DOI BibTeX RDF
1	Kai-Wei Chang, Dan Roth	Selective block minimization for faster convergence of limited memory large-scale linear models.	KDD	2011	DBLP DOI BibTeX RDF
1	Deepak Agarwal, Bee-Chung Chen	Latent OLAP: data cubes over latent variables.	SIGMOD Conference	2011	DBLP DOI BibTeX RDF
1	Hannes Nickisch	Bayesian inference and experimental design for large generalised linear models.		2010	RDF
1	Graciela Boente, Daniela Rodriguez	Robust inference in generalized partially linear models.	Computational Statistics & Data Analysis	2010	DBLP DOI BibTeX RDF
1	Kaspar Rufibach	An active set algorithm to estimate parameters in generalized linear models with ordered predictors.	Computational Statistics & Data Analysis	2010	DBLP DOI BibTeX RDF