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mdreid's library [94 articles]

Recent papers added to mdreid's library.
  • Persistent Clustering and a Theorem of J. Kleinberg
    (16 Aug 2008)
    by Gunnar Carlsson, Facundo Memoli
    posted to trees theory clustering category_theory by mdreid on 2008-08-27 09:13:53 as **** along with 1 group Statistical Machine Learning
  • notes Shark
    Journal of Machine Learning Research, Vol. 9 (June 2008), pp. 993-996.
    by Christian Igel, Verena Heidrich-Meisner, Tobias Glasmachers
    posted to software regression cpp classification by mdreid on 2008-08-23 01:57:43 as ** along with 1 group Statistical Machine Learning
  • 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
    posted to theory statistics modelling hmm graphical_models algebraic_geometry by mdreid on 2008-08-12 06:43:22 as ** along with 1 group Statistical Machine Learning
  • Phylogenetic Algebraic Geometry
    (2 Jul 2004)
    by Nicholas Eriksson, Kristian Ranestad, Bernd Sturmfels, Seth Sullivant
    posted to trees phylogenetics modelling algebraic_geometry by mdreid on 2008-08-12 06:41:55 as ** along with 1 group Statistical Machine Learning
  • 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
    posted to scoring_rules prediction_markets by mdreid on 2008-08-07 01:06:05 as ***** along with 1 group Statistical Machine Learning
  • notes Architectural styles and the design of network-based software architectures
    (2000)
    by Roy T Fielding
    posted to software rest design 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.
    by I Csiszár
    posted to projection f-divergence divergence distributions bregman by mdreid on 2008-08-06 05:44:33 as *** along with 1 group Statistical Machine Learning
  • 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
    posted to information_geometry divergence by mdreid on 2008-08-04 06:03:58 as read along with 1 group Statistical Machine Learning
  • 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
    posted to prediction_markets politics economics by mdreid on 2008-07-29 00:53:14 as read along with 2 people and 1 group stringertheory jago Statistical Machine Learning
  • Correlated Equilibrium as an Expression of Bayesian Rationality
    Econometrica, Vol. 55, No. 1. (1987), pp. 1-18.
    by Robert J Aumann
    posted to scoring_rules game_theory bayesian by mdreid on 2008-07-28 04:37:41 as *** along with 2 people and 1 group Harold324 tkravitz Statistical Machine Learning
  • notes An Efficient Algorithm for Bandit Linear Optimization
    (21 February 2008)
    by Jacob D Abernethy, Elad Hazan, Alexander Rakhlin
    posted to theory optimisation convexity bregman_divergence bandit algorithm by mdreid on 2008-07-24 09:32:05 as read along with 1 group Statistical Machine Learning
  • Data Spectroscopy: Eigenspace of Convolution Operators and Clustering
    (23 Jul 2008)
    by Tao Shi, Mikhail Belkin, Bin Yu
    posted to theory spectral clustering by mdreid on 2008-07-24 05:56:35 as *** along with 1 group Statistical Machine Learning
  • notes Elicitability
    (July 2008)
    by Nicolas Lambert, David Pennock, Yoav Shoham
    posted to weighting scoring_rules probability prediction_markets integral_representation by mdreid on 2008-07-22 06:13:12 as read along with 1 group Statistical Machine Learning
  • Evaluating Probabilities: Asymmetric Scoring Rules
    Management Science, Vol. 40, No. 11. (1994), pp. 1395-1405.
    by Robert L Winkler
    posted to scoring_rules probability asymmetric by mdreid on 2008-07-22 00:27:36 as *** along with 1 group Statistical Machine Learning
  • 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
    posted to scoring_rules probability by mdreid on 2008-07-22 00:23:11 as **** along with 1 group Statistical Machine Learning
  • Learning Low-Density Separators
    (19 May 2008)
    by Shai Ben-David, Tyler Lu, David Pal, Miroslava Sotakova
    posted to density_estimation by mdreid on 2008-07-21 08:20:59 as ** along with 2 people and 1 group sugarexpletive robotact Statistical Machine Learning
  • 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
    posted to theory semisupervised pac compatibility bounds by mdreid on 2008-07-21 06:31:07 as **** along with 1 person and 1 group deysandeep Statistical Machine Learning
  • Kernel methods in machine learning
    Annals of Statistics, Vol. 36, No. 3. (2008), pp. 1171-1220.
    by Thomas Hofmann, Bernhard Schölkopf, Alexander J Smola
    posted to svm kernel by mdreid on 2008-07-21 00:07:43 as **** along with 1 person and 1 group tdhollan Statistical Machine Learning
  • Classifier Technology and the Illusion of Progress
    (19 Jun 2006)
    by David J Hand
    posted to simplicity evaluation empiricism classification by mdreid on 2008-07-18 05:20:36 as *** along with 1 group Statistical Machine Learning
  • Local Rademacher complexities
    Annals of Statistics, Vol. 33, No. 4. (2005), pp. 1497-1537.
    by Peter L Bartlett, Olivier Bousquet, Shahar Mendelson
    posted to inequality error data_dependent complexity bounds by mdreid on 2008-07-18 02:52:53 as **** along with 1 person and 1 group davidr Statistical Machine Learning
  • Random projection trees and low dimensional manifolds
    (2008), pp. 537-546.
    by Sanjoy Dasgupta, Yoav Freund
    posted to random_projection dimensional_reduction by mdreid on 2008-07-16 03:55:21 as read along with 1 group Statistical Machine Learning
  • Graphical models, exponential families, and variational inference
    (17 September 2003)
    by Martin J Wainwright, Michael I Jordan
    posted to duality by mdreid on 2008-07-11 17:51:11 as ***** along with 1 person and 1 group tdhollan Statistical Machine Learning
  • 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
    posted to theory statistics srm neyman-pearson information erm by mdreid on 2008-06-26 13:10:36 as ** along with 3 people and 1 group dcastro ded_maxim Hachim Statistical Machine Learning
  • 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
    posted to theory statistics philosophy methodology by mdreid on 2008-06-25 07:09:48 as **** along with 1 group Statistical Machine Learning
  • 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
    posted to web data community by mdreid on 2008-06-25 06:31:02 as *** along with 3 people and 3 groups dvallet idornescu gbouma NETS-UAM NETS WLV-RGCL
  • Information Generation: How Data Rules Our World
    (25 January 2007)
    by David J Hand
    posted to popular_science information data by mdreid on 2008-06-25 06:25:01 as *** along with 1 group Statistical Machine Learning
  • 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
    posted to types theory statistics measurement criticism by mdreid on 2008-06-24 06:51:26 as read along with 3 people and 2 groups breyten Frg peefeeyatko Statistical Machine Learning ilps
  • 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
    posted to theory statistics representation measurement by mdreid on 2008-06-24 06:22:01 as read along with 2 people and 1 group ulmer rrbarb Statistical Machine Learning
  • On the Theory of Scales of Measurement
    Science, Vol. 103, No. 2684. (7 June 1946), pp. 677-680.
    by SS Stevens
    posted to theory measurement historical by mdreid on 2008-06-24 05:53:10 as read along with 3 people and 2 groups rrbarb breyten peefeeyatko Statistical Machine Learning ilps
  • Value Regularization and Fenchel Duality
    J. Mach. Learn. Res., Vol. 8 (2007), pp. 441-479.
    by Ryan M Rifkin, Ross A Lippert
    posted to regularisation regression kernel fenchel_duality classification by mdreid on 2008-06-23 01:41:54 as *** along with 1 person and 1 group yaroslavvb Statistical Machine Learning
  • A generalization of principal component analysis to the exponential family
    (2001)
    by M Collins, S Dasgupta, R Schapire
    posted to pca exponential_family dimensional_reduction bregman_divergence by mdreid on 2008-06-17 13:57:03 as ** along with 2 people and 1 group tdhollan vlachmore Statistical Machine Learning
  • Nonparametric Bayesian Data Analysis
    Statistical Science, Vol. 19, No. 1. (2004), pp. 95-110.
    by Peter Müller, Fernando A Quintana
    posted to survey regression dirichlet_process density_estimation by mdreid on 2008-06-17 05:38:51 as ** along with 1 person and 1 group tdhollan Statistical Machine Learning
  • Sufficient Dimensionality Reduction
    Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1307-1331.
    by Amir Globerson, Naftali Tishby
    posted to theory sufficiency information dimensional_reduction by mdreid on 2008-06-12 05:54:00 as *** along with 2 people and 1 group tdhollan vlachmore Statistical Machine Learning
  • A Tutorial on Conformal Prediction
    Journal of Machine Learning Research, Vol. 9 (March 2008), pp. 371-421.
    by Glenn Shafer, Vladimir Vovk
    posted to tutorial theory probability exchangeability credibility conformal_prediction confidence by mdreid on 2008-06-12 05:47:21 as read along with 3 people and 1 group vlachmore robotact jjrodriguez Statistical Machine Learning
  • notes Admissible probability measurement procedures
    Psychometrika, Vol. 31, No. 2. (27 June 1966), pp. 125-145.
    by Emir Shuford, Arthur Albert, Edward H Massengill
    posted to scoring_rules integral_representation class_probability_estimation by mdreid on 2008-06-04 01:14:59 as ** along with 1 group Statistical Machine Learning
  • Unifying Divergence Minimization and Statistical Inference Via Convex Duality
    Learning Theory (2006), pp. 139-153.
    by Yasemin Altun, Alex Smola
    posted to exponential_family duality divergence convexity class_probability_estimation by mdreid on 2008-05-28 07:48:54 as ***** along with 1 group Statistical Machine Learning
  • 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
    posted to philosophy ockhams_razor induction efficiency by mdreid on 2008-05-07 00:20:27 as ** along with 2 people and 1 group kazuyah BrianTomasik Statistical Machine Learning
  • A class of logistic-type discriminant functions
    Biometrika, Vol. 89, No. 1. (1 March 2002), pp. 1-22.
    by Shinto Eguchi, John Copas
    posted to weighting roc neyman-pearson loss logistic class_probability_estimation classification auc by mdreid on 2008-04-30 06:53:14 as read along with 1 group Statistical Machine Learning
  • 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
    posted to power neyman-pearson hypothesis_testing historical by mdreid on 2008-04-30 04:35:29 as ** along with 1 person and 1 group ulmer Statistical Machine Learning
  • The optimal discretization of probability density functions
    Computational Statistics & Data Analysis, Vol. 31, No. 4. (28 October 1999), pp. 475-486.
    by A Christofides, B Tanyi, S Christofides, D Whobrey, N Christofides
    posted to probability function_approximation dynamic_programming discretisation density_estimation by mdreid on 2008-04-30 01:42:46 as ** along with 1 group Statistical Machine Learning
  • 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
    posted to bregman_divergence f-divergence max-ent by mdreid on 2008-04-22 01:33:59 as *** along with 2 people and 2 groups yaroslavvb ciga Computational_Information_Geometry Statistical Machine Learning
  • Clustering with Bregman Divergences
    Journal of Machine Learning Research, Vol. 6 (October 2005), pp. 1705-1749.
    by Arindam Banerjee, Srujana Merugu, Inderjit S Dhillon, Joydeep Ghosh
    posted to bregman clustering convexity divergence exponential_family information_bottleneck by mdreid on 2008-04-22 01:02:07 as read along with 1 group Statistical Machine Learning
  • notes The Earth Is Round (p < .05)
    American Psychologist, Vol. 49, No. 12. (December 1994), pp. 997-1003.
    by Jacob Cohen
    posted to criticism hypothesis_testing p_values statistics by mdreid on 2008-04-09 06:25:57 as read along with 1 person robotact
  • Generalized Neyman-Pearson lemma via convex duality
    Bernoulii, Vol. 7, No. 1. (2001), pp. 79-97.
    by Jakša Cvitanić, Ioannis Karatzas
    posted to convexity duality neyman-pearson by mdreid on 2008-04-09 01:36:03 as ** along with 1 group Statistical Machine Learning
  • On classification, ranking, and probability estimation
    No. 07161. (2008)
    by Peter Flach, Edson T Matsubara
    edited by Luc de Raedt, Thomas Dietterich, Lise Getoor, Kristian Kersting, Stephen H Muggleton
    posted to classification class_probability_estimation ranking reduction roc by mdreid on 2008-04-09 01:07:40 as read along with 1 group Statistical Machine Learning
  • A weighted generalization of the Mann-Whitney-Wilcoxon statistic
    Journal of Statistical Planning and Inference, Vol. 102, No. 2. (1 April 2002), pp. 441-466.
    by Jingdong Xie, Carey E Priebe
    posted to auc ranking roc statistics weighting by mdreid on 2008-04-08 02:24:23 as *** along with 1 group Statistical Machine Learning
  • Algorithms, games, and the internet
    (2001), pp. 749-753.
    by Christos Papadimitriou
    posted to clustering segmentation by mdreid on 2008-04-08 02:18:49 as * along with 3 people and 4 groups euclid NeilInCanadia aan Algorithms metric_embeddings TCS Polytopes
  • notes ROC graphs with instance-varying costs
    Pattern Recogn. Lett., Vol. 27, No. 8. (June 2006), pp. 882-891.
    by Tom Fawcett
    posted to auc cost_sensitive instance_weighting roc by mdreid on 2008-03-31 05:36:07 as read along with 1 group Statistical Machine Learning
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