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pcarbo's library [243 articles]

最近录入 pcarbo's 文献库.
  • Algorithm AS 266: Maximum Likelihood Estimation of the Parameters of the Dirichlet Distribution
    Applied Statistics, Vol. 40, No. 2. (1991), pp. 365-374.
    posted to maximum-likelihood exponential-families by pcarbo on 2008-07-18 01:53:05 as ***
  • Natural Exponential Families with Quadratic Variance Functions
    The Annals of Statistics, Vol. 10, No. 1. (1982), pp. 65-80.
    by Carl N Morris
    posted to exponential-families by pcarbo on 2008-07-16 19:04:58 as ** along with 1 person yaroslavvb
  • Clines, Clusters, and the Effect of Study Design on the Inference of Human Population Structure.
    PLoS Genet, Vol. 1, No. 6. (9 December 2005)
    by Noah A A Rosenberg, Saurabh Mahajan, Sohini Ramachandran, Chengfeng Zhao, Jonathan K K Pritchard, Marcus W W Feldman
    posted to phylogeny by pcarbo on 2008-07-09 04:43:35 as ** along with 3 people ccots larios ryanraaum
  • Inference of Population Structure Using Multilocus Genotype Data
    Genetics, Vol. 155, No. 2. (1 June 2000), pp. 945-959.
    by Jonathan K Pritchard, Matthew Stephens, Peter Donnelly
  • Microsatellite DNA analysis of rainbow trout (Oncorhynchus mykiss) from western Alberta, Canada: native status and evolutionary distinctiveness of Athabasca rainbow trout
    Conservation Genetics, Vol. 8, No. 1. (February 2007), pp. 1-15.
    posted to phylogeny by pcarbo on 2008-07-07 23:59:55 as ***
  • Modeling recurrent DNA copy number alterations in array CGH data.
    Bioinformatics, Vol. 23, No. 13. (1 July 2007)
    by SP Shah, WL Lam, RT Ng, KP Murphy
  • The genetic structure of Pacific Islanders.
    PLoS Genet, Vol. 4, No. 1. (January 2008)
    by JS Friedlaender, FR Friedlaender, FA Reed, KK Kidd, JR Kidd, GK Chambers, RA Lea, JH Loo, G Koki, JA Hodgson, DA Merriwether, JL Weber
    posted to phylogeny by pcarbo on 2008-07-04 04:13:11 as ***
  • Inference of Bacterial Microevolution Using Multilocus Sequence Data
    Genetics, Vol. 175, No. 3. (1 March 2007), pp. 1251-1266.
    by Xavier Didelot, Daniel Falush
  • Bayesian Inference in Econometric Models Using Monte Carlo Integration
    Econometrica, Vol. 57, No. 6. (1989), pp. 1317-1339.
    by John Geweke
    posted to importance-sampling by pcarbo on 2008-06-18 02:45:47 as ***
  • Bootstrap Methods: Another Look at the Jackknife
    The Annals of Statistics, Vol. 7, No. 1. (1979), pp. 1-26.
    by B Efron
    posted to statistics delta-method bootstrap by pcarbo on 2008-06-17 19:02:16 as *** along with 1 person alexv
  • Exact tests for the rasch model via sequential importance sampling
    Psychometrika, Vol. 70, No. 1. (1 March 2005), pp. 11-30.
    by Yuguo Chen, Dylan Small
    posted to sequential-importance-sampling importance-sampling by pcarbo on 2008-06-17 05:10:44 as **
  • Sequential Monte Carlo Methods for Statistical Analysis of Tables
    Journal of the American Statistical Association, Vol. 100, No. 469. (March 2005), pp. 109-120.
    by Yuguo Chen, Persi Diaconis, Susan P Holmes, Jun S Liu
  • Additive models, boosting, and inference for generalized divergences
    (1999), pp. 125-133.
    by John Lafferty
  • Representations of quasi-Newton matrices and their use in limited memory methods
    Mathematical Programming, Vol. 63, No. 1. (1 January 1994), pp. 129-156.
    by Richard H Byrd, Jorge Nocedal, Robert B Schnabel
    posted to quasi-newton-methods optimization by pcarbo on 2008-06-08 02:04:56 as ***
  • An interior algorithm for nonlinear optimization that combines line search and trust region steps
    Mathematical Programming, Vol. 107, No. 3. (14 July 2006), pp. 391-408.
    by RA Waltz, JL Morales, J Nocedal, D Orban
    posted to quasi-newton-methods optimization interior-point-methods by pcarbo on 2008-06-08 01:54:22 as **
  • Interior path following primal-dual algorithms. part I: Linear programming
    Mathematical Programming, Vol. 44, No. 1. (1 May 1989), pp. 27-41.
    by Renato D Monteiro, Ilan Adler
    posted to optimization linear-programming interior-point-methods by pcarbo on 2008-05-29 22:06:36 as **
  • Interior path following primal-dual algorithms. part II: Convex quadratic programming
    Mathematical Programming, Vol. 44, No. 1. (1 May 1989), pp. 43-66.
    by Renato D Monteiro, Ilan Adler
    posted to optimization interior-point-methods by pcarbo on 2008-05-29 20:45:42 as ***
  • On Implementing Mehrotra's Predictor--Corrector Interior-Point Method for Linear Programming
    SIAM Journal on Optimization, Vol. 2, No. 3. (1992), pp. 435-449.
    by Irvin J Lustig, Roy E Marsten, David F Shanno
    posted to optimization linear-programming interior-point-methods by pcarbo on 2008-05-29 01:10:14 as **
  • Nonlinear programming methods in the presence of noise
    Mathematical Programming, Vol. 14, No. 1. (1 December 1978), pp. 87-97.
    by BT Poljak
    posted to stochastic-approximation optimization by pcarbo on 2008-05-28 23:07:43 as **
  • Path-Following Methods for Linear Programming
    SIAM Review, Vol. 34, No. 2. (1992), pp. 167-224.
    by Clovis C Gonzaga
    posted to optimization linear-programming interior-point-methods by pcarbo on 2008-05-28 01:29:22 as **
  • Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems
    Selected Topics in Signal Processing, IEEE Journal of, Vol. 1, No. 4. (2007), pp. 586-597.
    by MAT Figueiredo, RD Nowak, SJ Wright
    posted to regression optimization lasso by pcarbo on 2008-05-22 02:32:30 as **
  • Estimating functions in indirect inference
    Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 66, No. 2. (2004), pp. 447-462.
    by Knut Heggland, Arnoldo Frigessi
    posted to indirect-inference by pcarbo on 2008-05-21 01:14:31 as **
  • A fast algorithm for nonlinearly constrained optimization calculations
    Numerical Analysis (1978), pp. 144-157.
    by M Powell
    posted to quasi-newton-methods optimization by pcarbo on 2008-05-12 21:56:37 as **
  • Algorithms for nonlinear constraints that use lagrangian functions
    Mathematical Programming, Vol. 14, No. 1. (1 December 1978), pp. 224-248.
    by MJD Powell
    posted to quasi-newton-methods optimization by pcarbo on 2008-05-12 21:54:33 as **
  • A Newton-Raphson Version of the Multivariate Robbins-Monro Procedure
    The Annals of Statistics, Vol. 13, No. 1. (1985), pp. 236-245.
    by David Ruppert
    posted to stochastic-approximation by pcarbo on 2008-05-12 20:45:35 as read
  • Quasi-Newton Methods, Motivation and Theory
    SIAM Review, Vol. 19, No. 1. (1977), pp. 46-89.
    by Dennis, Jorge J Morέe
    posted to quasi-newton-methods optimization by pcarbo on 2008-05-12 02:19:05 as ***
  • Term-weighting approaches in automatic text retrieval
    Inf. Process. Manage., Vol. 24, No. 5. (1988), pp. 513-523.
    by Gerard Salton, Christopher Buckley
  • Large-Scale Bayesian Logistic Regression for Text Categorization
    Technometrics, Vol. 49, No. 3. (August 2007), pp. 291-304.
  • Online supervised spam filter evaluation
    ACM Trans. Inf. Syst., Vol. 25, No. 3. (July 2007)
    by Gordon V Cormack, Thomas R Lynam
    posted to supervised-learning spam-filtering online classification by pcarbo on 2008-05-07 23:15:33 as ***
  • An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
    (2000)
    by Nello Cristianini, John Shawe-Taylor
    posted to support-vector-machines kernel-methods by pcarbo on 2008-04-24 18:13:45 as **
  • Gaussian Processes for Machine Learning
    (2006)
    posted to regression gaussian-processes bayesian by pcarbo on 2008-04-24 18:10:19 as ** along with 1 person anoopc
  • Adaptive sparseness for supervised learning
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 25, No. 9. (2003), pp. 1150-1159.
    by MAT Figueiredo
    posted to bayesian lasso supervised-learning by pcarbo on 2008-04-21 18:51:46 as ***
  • Atomic Decomposition by Basis Pursuit
    SIAM Review, Vol. 43, No. 1. (2001), pp. 129-159.
    by Scott S Chen, David L Donoho, Michael A Saunders
    posted to lasso optimization wavelets by pcarbo on 2008-04-21 18:46:51 as **
  • Regression Shrinkage and Selection via the Lasso
    Journal of the Royal Statistical Society, Series B, Vol. 58, No. 1. (1996), pp. 267-288.
    by Robert Tibshirani
    posted to bayesian lasso regression by pcarbo on 2008-04-21 18:18:02 as ***
  • Discussion: a tale of three cousins: lasso, L2boosting and Dantzig
    Annals of Statistics, Vol. 35, No. 6. (2007), pp. 2373-2384.
    by N Meinshausen, G Rocha, B Yu
    posted to boosting lasso regression by pcarbo on 2008-04-21 18:05:05 as **
  • Superlinear Convergence of Primal-Dual Interior Point Algorithms for Nonlinear Programming
    SIAM Journal on Optimization, Vol. 11, No. 4. (2001), pp. 974-1002.
    by Nicholas IM Gould, Dominique Orban, Annick Sartenaer, Philippe L Toint
    posted to interior-point-methods optimization by pcarbo on 2008-04-21 00:17:01 as ***
  • Why a Pure Primal Newton Barrier Step May be Infeasible
    SIAM Journal on Optimization, Vol. 5, No. 1. (1995), pp. 1-12.
    by Margaret H Wright
    posted to interior-point-methods optimization by pcarbo on 2008-04-18 19:40:28 as **
  • Minimization Algorithms Based on Supervisor and Searcher Cooperation
    Journal of Optimization Theory and Applications, Vol. 111, No. 2. (1 November 2001), pp. 359-379.
    by W Liu, YH Dai
    posted to optimization by pcarbo on 2008-04-17 18:43:17 as **
  • R-linear convergence of the Barzilai and Borwein gradient method
    IMA J Numer Anal, Vol. 22, No. 1. (1 January 2002), pp. 1-10.
    by Yu-Hong Dai, Li-Zhi Liao
    posted to optimization by pcarbo on 2008-04-17 18:42:21 as **
  • The Barzilai and Borwein Gradient Method for the Large Scale Unconstrained Minimization Problem
    SIAM Journal on Optimization, Vol. 7, No. 1. (1997), pp. 26-33.
    by Marcos Raydan
    posted to optimization by pcarbo on 2008-04-17 01:40:36 as **
  • A Feasible BFGS Interior Point Algorithm for Solving Convex Minimization Problems
    SIAM Journal on Optimization, Vol. 11, No. 1. (2000), pp. 199-222.
    by Paul Armand, Jean C Gilbert, Sophie Jan-Jégou
    posted to interior-point-methods optimization by pcarbo on 2008-04-16 22:35:53 as ***
  • Two-Point Step Size Gradient Methods
    IMA J Numer Anal, Vol. 8, No. 1. (1 January 1988), pp. 141-148.
    by Jonathan Barzilai, Jonathan M Borwein
    posted to optimization by pcarbo on 2008-04-16 22:05:19 as ***
  • Natural gradient works efficiently for learning
    Neural Computation, Vol. 10 (1998), pp. 251-276.
    by S Amari
    posted to online optimization stochastic-approximation by pcarbo on 2008-04-16 05:51:39 as **
  • SVM and Boosting: One Class
    by Gunnar Rätsch, Bernhard Schökopf, Sebastian Mika, Klaus R Müller
  • Online learning with kernels
    Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 52, No. 8. (2004), pp. 2165-2176.
    by J Kivinen, AJ Smola, RC Williamson
    posted to kernel-methods online by pcarbo on 2008-04-14 23:08:19 as *** along with 1 person robotact
  • Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
    Machine Learning: ECML 2007 (2007), pp. 286-297.
    by Mark Schmidt, Glenn Fung, Rómer Rosales
    posted to optimization regression by pcarbo on 2008-04-12 05:45:46 as ***
  • Block Coordinate Relaxation Methods for Nonparametric Wavelet Denoising
    Journal of Computational and Graphical Statistics, Vol. 9, No. 2. (2000), pp. 361-379.
    by Sylvain Sardy, Andrew G Bruce, Paul Tseng
    posted to interior-point-methods optimization regression by pcarbo on 2008-04-12 05:29:10 as ***
  • An Interior-Point Method for Large-Scale L1-Regularized Least Squares
    Selected Topics in Signal Processing, IEEE Journal of, Vol. 1, No. 4. (2007), pp. 606-617.
    by Seung-Jean Kim, K Koh, M Lustig, S Boyd, D Gorinevsky
  • An Interior-Point Method for Large-Scale L1-Regularized Logistic Regression
    J. Mach. Learn. Res., Vol. 8 (2007), pp. 1519-1555.
    by Kwangmoo Koh, Seung-Jean Kim, Stephen Boyd
  • Maximum likelihood estimation in nonlinear mixed effects models
    Computational Statistics & Data Analysis, Vol. 49, No. 4. (15 June 2005), pp. 1020-1038.
    by E Kuhn, M Lavielle
    posted to expectation-maximization stochastic-approximation by pcarbo on 2008-04-11 17:59:54 as **
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