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» Introduction to Statistical Learning Theory
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ECML
2005
Springer
14 years 1 months ago
U-Likelihood and U-Updating Algorithms: Statistical Inference in Latent Variable Models
Abstract. In this paper we consider latent variable models and introduce a new U-likelihood concept for estimating the distribution over hidden variables. One can derive an estimat...
JaeMo Sung, Sung Yang Bang, Seungjin Choi, Zoubin ...
ECCV
2002
Springer
14 years 9 months ago
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
ICS
2010
Tsinghua U.
14 years 4 months ago
Space-Efficient Estimation of Robust Statistics and Distribution Testing
: The generic problem of estimation and inference given a sequence of i.i.d. samples has been extensively studied in the statistics, property testing, and learning communities. A n...
Steve Chien, Katrina Ligett, Andrew McGregor
WOSS
2004
ACM
14 years 27 days ago
Combining statistical monitoring and predictable recovery for self-management
Complex distributed Internet services form the basis not only of e-commerce but increasingly of mission-critical networkbased applications. What is new is that the workload and in...
Armando Fox, Emre Kiciman, David A. Patterson
TRS
2008
13 years 7 months ago
A Model of User-Oriented Reduct Construction for Machine Learning
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
Yiyu Yao, Yan Zhao, Jue Wang, Suqing Han