p02 Sparse Coding Cvpr2012 Deep Learning Methods for Vision
Stochastic Gradient Descent Training for L1-regularizaed Log-linear Models with Cumulative Penalty Yoshimasa Tsuruoka, Junichi Tsujii, and Sophia Ananiadou.
P02 sparse coding cvpr2012 deep learning methods for vision
11 cv mil_models_for_chains_and_trees
Exact Data Reduction for Big Data by Jieping Ye
Tnavigator Reservoir Simulation
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Bayesian Models, Prior Knowledge, and Data Fusion for Monitoring Messages and Identifying Authors. Paul Kantor Rutgers May 14, 2007.
Computer vision: models, learning and inference Chapter 11 Models for Chains and Trees.
Jeff Howbert Introduction to Machine Learning Winter 2012 1 Regression Linear Regression.
Regression Linear Regression
Ariadna Quattoni Xavier Carreras An Efficient Projection for l 1,∞ Regularization Michael Collins Trevor Darrell MIT CSAIL.
