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» Using Machine Learning to Focus Iterative Optimization
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ICML
2007
IEEE
16 years 3 months ago
Efficiently computing minimax expected-size confidence regions
Given observed data and a collection of parameterized candidate models, a 1- confidence region in parameter space provides useful insight as to those models which are a good fit t...
Brent Bryan, H. Brendan McMahan, Chad M. Schafer, ...
132
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ACML
2009
Springer
15 years 9 months ago
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
Ran He, Bao-Gang Hu, Xiaotong Yuan
CVPR
2008
IEEE
16 years 4 months ago
Max Margin AND/OR Graph learning for parsing the human body
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
Long Zhu, Yuanhao Chen, Yifei Lu, Chenxi Lin, Alan...
133
Voted
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
13 years 10 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
GI
2007
Springer
15 years 8 months ago
Supporting Early Literacy with Augmented Books - Experiences with an Exploratory Study
: We here report on a study exploring the use of augmented books for early literacy education. Children aged 6-7 interacted alone and in pairs with an AR-book. The study was iterat...
Eva Hornecker, Andreas Dünser