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mdreid's library [101 articles]

Recent papers added to mdreid's library.
  • notes The Proximal Average: Basic Theory
    SIAM Journal on Optimization, Vol. 19, No. 2. (2008), pp. 766-785.
    by Heinz H Bauschke, Rafal Goebel, Yves Lucet, Xianfu Wang
    posted to theory fenchel_duality convexity average by mdreid on 2008-09-23 04:37:54 as ****
  • Predictocracy
    (2007)
    by Michael Abramowicz
    posted to prediction_markets by mdreid on 2008-09-15 07:21:33 as ****
  • Algebraic Statistics for Computational Biology
    (22 August 2005)
    edited by L Pachter, B Sturmfels
  • Support Vector Machines
    (2008)
    by Ingo Steinwart, Andreas Christmann
    posted to no-tag by mdreid on 2008-09-15 07:18:41 as **** along with 1 group Statistical Machine Learning
  • Convex solutions of a functional equation arising in information theory
    Journal of Mathematical Analysis and Applications, Vol. 328, No. 2. (15 April 2007), pp. 1309-1320.
  • notes On a Functional Operation Generating Convex Functions, Part 1: Duality
    Journal of Optimization Theory and Applications, Vol. 126, No. 1. (1 July 2005), pp. 175-189.
    posted to theory duality convexity by mdreid on 2008-09-04 09:37:35 as *****
  • Structured machine learning: the next ten years
    Machine Learning
    by Thomas Dietterich, Pedro Domingos, Lise Getoor, Stephen Muggleton, Prasad Tadepalli
  • Persistent Clustering and a Theorem of J. Kleinberg
    (16 Aug 2008)
    by Gunnar Carlsson, Facundo Memoli
  • notes Shark
    Journal of Machine Learning Research, Vol. 9 (June 2008), pp. 993-996.
    by Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers
  • Tropical geometry of statistical models
    Proceedings of the National Academy of Sciences of the United States of America, Vol. 101, No. 46. (16 November 2004), pp. 16132-16137.
    by Lior Pachter, Bernd Sturmfels
  • Phylogenetic Algebraic Geometry
    (2 Jul 2004)
    by Nicholas Eriksson, Kristian Ranestad, Bernd Sturmfels, Seth Sullivant
  • notes Measures of the Value of Information
    Proceedings of the National Academy of Sciences of the United States of America, Vol. 42, No. 9. (1956), pp. 654-655.
    by John Mccarthy
    posted to scoring_rules by mdreid on 2008-08-07 13:15:02 as ** along with 1 person markstoehr
  • Scoring Rules and the Evaluation of Probability Assessors
    Journal of the American Statistical Association, Vol. 64, No. 327. (1969), pp. 1073-1078.
    by Robert L Winkler
    posted to scoring_rules by mdreid on 2008-08-07 01:51:11 as *** along with 1 group Statistical Machine Learning
  • Combinatorial Information Market Design
    Information Systems Frontiers (January 2003), pp. 107-119.
    by R Hanson
  • notes Architectural styles and the design of network-based software architectures
    (2000)
    by Roy T Fielding
    posted to design rest software by mdreid on 2008-08-06 05:52:36 as ** along with 2 people RafG yleblevec
  • notes Generalized projections for non-negative functions
    Acta Mathematica Hungarica, Vol. 68, No. 1. (1 March 1995), pp. 161-186.
  • On preferred point geometry in statistics
    Journal of Statistical Planning and Inference, Vol. 102, No. 2. (1 April 2002), pp. 229-245.
    by Frank Critchley, Paul Marriott, Mark Salmon
  • notes ECONOMICS: The Promise of Prediction Markets
    Science, Vol. 320, No. 5878. (16 May 2008), pp. 877-878.
    by Kenneth J Arrow, Robert Forsythe, Michael Gorham, Robert Hahn, Robin Hanson, John O Ledyard, Saul Levmore, Robert Litan, Paul Milgrom, Forrest D Nelson, George R Neumann, Marco Ottaviani, Thomas C Schelling, Robert J Shiller, Vernon L Smith, Erik Snowberg, Cass R Sunstein, Paul C Tetlock, Philip E Tetlock, Hal R Varian, Justin Wolfers, Eric Zitzewitz
  • Correlated Equilibrium as an Expression of Bayesian Rationality
    Econometrica, Vol. 55, No. 1. (1987), pp. 1-18.
    by Robert J Aumann
  • notes An Efficient Algorithm for Bandit Linear Optimization
    (21 February 2008)
    by Jacob D Abernethy, Elad Hazan, Alexander Rakhlin
  • Data Spectroscopy: Eigenspace of Convolution Operators and Clustering
    (23 Jul 2008)
    by Tao Shi, Mikhail Belkin, Bin Yu
  • notes Elicitability
    (July 2008)
    by Nicolas Lambert, David Pennock, Yoav Shoham
  • Evaluating Probabilities: Asymmetric Scoring Rules
    Management Science, Vol. 40, No. 11. (1994), pp. 1395-1405.
    by Robert L Winkler
  • Scoring rules and the evaluation of probabilities
    TEST, Vol. 5, No. 1. (28 March 1990), pp. 1-60.
    by R Winkler, Javier Muñoz, José Cervera, José Bernardo, Gail Blattenberger, Joseph Kadane, Dennis Lindley, Allan Murphy, Robert Oliver, David Ríos-Insua
  • Learning Low-Density Separators
    (19 May 2008)
    by Shai Ben-David, Tyler Lu, David Pal, Miroslava Sotakova
  • notes An Augmented PAC Model for Semi-Supervised Learning
    (2006), pp. 397-420.
    by Maria-Florina Balcan, Avrim Blum
    edited by Olivier Chapelle, Bernhard Schölkopf, Alexander Zien
  • Kernel methods in machine learning
    Annals of Statistics, Vol. 36, No. 3. (2008), pp. 1171-1220.
    by Thomas Hofmann, Bernhard Schölkopf, Alexander J Smola
  • Classifier Technology and the Illusion of Progress
    (19 Jun 2006)
    by David J Hand
  • Local Rademacher complexities
    Annals of Statistics, Vol. 33, No. 4. (2005), pp. 1497-1537.
    by Peter L Bartlett, Olivier Bousquet, Shahar Mendelson
  • Random projection trees and low dimensional manifolds
    (2008), pp. 537-546.
    by Sanjoy Dasgupta, Yoav Freund
  • Graphical models, exponential families, and variational inference
    (17 September 2003)
    by Martin J Wainwright, Michael I Jordan
  • A Neyman-Pearson approach to statistical learning
    Information Theory, IEEE Transactions on, Vol. 51, No. 11. (2005), pp. 3806-3819.
    by C Scott, R Nowak
  • Deconstructing Statistical Questions
    Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 157, No. 3. (1994), pp. 317-356.
    by David J Hand
  • DBpedia: A Nucleus for a Web of Open Data
    The Semantic Web (11-15 November 2008), pp. 722-735.
    by Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, Zachary Ives
  • Information Generation: How Data Rules Our World
    (25 January 2007)
    by David J Hand
  • Nominal, Ordinal, Interval, and Ratio Typologies Are Misleading
    The American Statistician, Vol. 47, No. 1. (1993), pp. 65-72.
    by Paul F Velleman, Leland Wilkinson
  • Statistics and the Theory of Measurement
    Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 159, No. 3. (1996), pp. 445-492.
    by DJ Hand
  • On the Theory of Scales of Measurement
    Science, Vol. 103, No. 2684. (7 June 1946), pp. 677-680.
    by SS Stevens
  • Value Regularization and Fenchel Duality
    J. Mach. Learn. Res., Vol. 8 (2007), pp. 441-479.
    by Ryan M Rifkin, Ross A Lippert
  • A generalization of principal component analysis to the exponential family
    (2001)
  • Nonparametric Bayesian Data Analysis
    Statistical Science, Vol. 19, No. 1. (2004), pp. 95-110.
    by Peter Müller, Fernando A Quintana
  • Sufficient Dimensionality Reduction
    Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1307-1331.
    by Amir Globerson, Naftali Tishby
  • A Tutorial on Conformal Prediction
    Journal of Machine Learning Research, Vol. 9 (March 2008), pp. 371-421.
    by Glenn Shafer, Vladimir Vovk
  • notes Admissible probability measurement procedures
    Psychometrika, Vol. 31, No. 2. (27 June 1966), pp. 125-145.
    by Emir Shuford, Arthur Albert, Edward H Massengill
  • Unifying Divergence Minimization and Statistical Inference Via Convex Duality
    Learning Theory (2006), pp. 139-153.
    by Yasemin Altun, Alex Smola
  • notes Ockham's razor, empirical complexity, and truth-finding efficiency
    Theoretical Computer Science, Vol. 383, No. 2-3. (18 September 2007), pp. 270-289.
    by Kevin T Kelly
  • A class of logistic-type discriminant functions
    Biometrika, Vol. 89, No. 1. (1 March 2002), pp. 1-22.
    by Shinto Eguchi, John Copas
  • notes On the Problem of the Most Efficient Tests of Statistical Hypotheses
    Royal Society of London Philosophical Transactions Series A, Vol. 231 (1933), pp. 289-337.
    by J Neyman, ES Pearson
  • The optimal discretization of probability density functions
    Computational Statistics & Data Analysis, Vol. 31, No. 4. (28 October 1999), pp. 475-486.
  • notes Why Least Squares and Maximum Entropy? An Axiomatic Approach to Inference for Linear Inverse Problems
    The Annals of Statistics, Vol. 19, No. 4. (1991), pp. 2032-2066.
    by Imre Csiszar
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