Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models

Source URL: www.personal.psu.edu

• Statistical theory
• Econometrics
• Decision theory
• Elastic net regularization
• Least squares
• Tikhonov regularization
• Least-angle regression
• Expectation–maximization algorithm
• Lasso
• Statistics
• Estimation theory
• Regression analysis

DESPOT: Online POMDP Planning with Regularization Adhiraj Somani Nan Ye David Hsu Wee Sun Lee

Source URL: www.comp.nus.edu.sg

• Stochastic control
• Control theory
• Partially observable Markov decision process
• R-tree
• B-tree
• Tree traversal
• Markov decision process
• Statistics
• Dynamic programming
• Markov processes

From Informality to Urban Poverty Through Land Markets

Source URL: www.urbanlandmark.org.za

• Regularization
• Economics
• Structure
• Socioeconomics
• Economies
• Informal sector
• Favela

Joint Statistics Seminar The Hong Kong University of Science and Technology Principal Component Analysis: Regularization, Supervision, Application, Asymptotics by

Source URL: www.bm.ust.hk

• Sparse PCA
• Dimension reduction
• Kernel principal component analysis
• Statistics
• Multivariate statistics
• Principal component analysis

Multi-source Deep Learning for Human Pose Estimation Wanli Ouyang Xiao Chu Xiaogang Wang Department of Electronic Engineering, The Chinese University of Hong Kong , Abstract

Source URL: www.ee.cuhk.edu.hk

• Learning
• Mixture model
• Pose
• Unsupervised learning
• Pattern recognition
• Neural network
• Boltzmann machine
• Regularization
• Machine learning
• Artificial intelligence
• Statistics

Adaptive Regularization in Neural Network Filters CourseAdvanced Digital Signal Processing May 23rd, 2002 Fares El-Azm Michael Vinther

Source URL: www.logicnet.dk

• Cybernetics
• Statistics
• Computational statistics
• Artificial neural network
• Backpropagation
• Generalization error
• Pruning
• Feedforward neural network
• Radial basis function network
• Neural networks
• Machine learning
• Computational neuroscience

42 In praise of sparsity and convexity Robert J. Tibshirani Department of Statistics, Stanford, CA To celebrate the 50th anniversary of COPSS, I discuss some examples of exciting developments of sparsity and convexity,

Source URL: statweb.stanford.edu

• Least-angle regression
• Elastic net regularization
• Least squares
• Regularization
• Stepwise regression
• Compressed sensing
• Tikhonov regularization
• Degrees of freedom
• Additive model
• Statistics
• Regression analysis
• Linear regression

Supervised Feature-Based Classification of Multi-Channel SAR Images D. Borghys, Y. Yvinec, C. Perneel, Signal & Image Centre, Royal Military Academy, Renaissancelaan 30, B-1000 Brussels

Source URL: www.sic.rma.ac.be

• Econometrics
• Multinomial logit
• Supervised learning
• Logistic regression
• Regularization
• Pattern recognition
• Statistics
• Regression analysis
• Machine learning

High Order Regularization for Semi-Supervised Learning of Structured Output Problems Yujia Li1 Richard Zemel1,2 1 Department of Computer Science, University of Toronto, Toronto, ON, Canada

Source URL: www.cs.toronto.edu

• Statistics
• Semi-supervised learning
• Supervised learning
• Segmentation
• Transduction
• Support vector machine
• Graph
• Co-training
• Regularization
• Machine learning
• Artificial intelligence
• Learning

DESPOT: Online POMDP Planning with Regularization Supplementary Material Adhiraj Somani Nan Ye David Hsu

Source URL: www.comp.nus.edu.sg