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WWW
2011
ACM
15 years 8 days ago
Finding hierarchy in directed online social networks
Social hierarchy and stratification among humans is a well studied concept in sociology. The popularity of online social networks presents an opportunity to study social hierarch...
Mangesh Gupte, Pravin Shankar, Jing Li, S. Muthukr...
JMLR
2008
230views more  JMLR 2008»
15 years 5 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
STOC
1997
ACM
97views Algorithms» more  STOC 1997»
15 years 9 months ago
Using and Combining Predictors That Specialize
Abstract. We study online learning algorithms that predict by combining the predictions of several subordinate prediction algorithms, sometimes called “experts.” These simple a...
Yoav Freund, Robert E. Schapire, Yoram Singer, Man...
200
Voted
CORR
2011
Springer
196views Education» more  CORR 2011»
14 years 9 months ago
Privacy-Enhanced Reputation-Feedback Methods to Reduce Feedback Extortion in Online Auctions
In this paper, we study methods for improving the utility and privacy of reputation scores for online auctions, such as used in eBay, so as to reduce the effectiveness of feedbac...
Michael T. Goodrich, Florian Kerschbaum
CVPR
2012
IEEE
13 years 7 months ago
Online robust image alignment via iterative convex optimization
In this paper we study the problem of online aligning a newly arrived image to previously well-aligned images. Inspired by recent advances in batch image alignment using low rank ...
Yi Wu, Bin Shen, Haibin Ling