Papers
4,122 papers found
AdaBoost is Consistent
Peter L. Bartlett, Mikhail Traskin
A Generalized Maximum Entropy Approach to Bregman Co-clustering and Matrix Approximation
Arindam Banerjee, Inderjit Dhillon, Joydeep Ghosh et al.
A New Probabilistic Approach in Rank Regression with Optimal Bayesian Partitioning
Carine Hue, Marc Boullé
An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression
Kwangmoo Koh, Seung-Jean Kim, Stephen Boyd
A Nonparametric Statistical Approach to Clustering via Mode Identification
Jia Li, Surajit Ray, Bruce G. Lindsay
Anytime Learning of Decision Trees
Saher Esmeir, Shaul Markovitch
A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians
Sanjoy Dasgupta, Leonard Schulman
A Stochastic Algorithm for Feature Selection in Pattern Recognition
Sébastien Gadat, Laurent Younes
Bayesian Quadratic Discriminant Analysis
Santosh Srivastava, Maya R. Gupta, Béla A. Frigyik
Behavioral Shaping for Geometric Concepts
Manu Chhabra, Robert A. Jacobs, Daniel Š
Bilinear Discriminant Component Analysis
Mads Dyrholm, Christoforos Christoforou, Lucas C. Parra
Boosted Classification Trees and Class Probability/Quantile Estimation
David Mease, Abraham J. Wyner, Andreas Buja
Building Blocks for Variational Bayesian Learning of Latent Variable Models
Tapani Raiko, Harri Valpola, Markus Harva et al.
Characterizing the Function Space for Bayesian Kernel Models
Natesh S. Pillai, Qiang Wu, Feng Liang et al.
Classification in Networked Data: A Toolkit and a Univariate Case Study
Sofus A. Macskassy, Foster Provost
Combining PAC-Bayesian and Generic Chaining Bounds
Jean-Yves Audibert, Olivier Bousquet
Comments on the “Core Vector Machines: Fast SVM Training on Very Large Data Sets"
Gaëlle Loosli, Stéphane Canu
Concave Learners for Rankboost
Ofer Melnik, Yehuda Vardi, Cun-Hui Zhang
Consistent Feature Selection for Pattern Recognition in Polynomial Time
Roland Nilsson, José M. Peña, Johan Björkegren et al.
Covariate Shift Adaptation by Importance Weighted Cross Validation
Masashi Sugiyama, Matthias Krauledat, Klaus-Robert Müller
Distances between Data Sets Based on Summary Statistics
Nikolaj Tatti