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ADMA
2006
Springer
110views Data Mining» more  ADMA 2006»
14 years 1 months ago
Learning with Local Drift Detection
Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
João Gama, Gladys Castillo
CORR
2010
Springer
165views Education» more  CORR 2010»
13 years 10 months ago
Online Learning: Beyond Regret
We study online learnability of a wide class of problems, extending the results of [26] to general notions of performance measure well beyond external regret. Our framework simult...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari
WWW
2008
ACM
14 years 10 months ago
Dynamic cost-per-action mechanisms and applications to online advertising
We study the Cost-Per-Action or Cost-Per-Acquisition (CPA) charging scheme in online advertising. In this scheme, instead of paying per click, the advertisers pay only when a user...
Hamid Nazerzadeh, Amin Saberi, Rakesh Vohra
APWEB
2004
Springer
14 years 3 months ago
Semantic, Hierarchical, Online Clustering of Web Search Results
Today, search engine is the most commonly used tool for Web information retrieval, however, its current status is still far from satisfaction. This paper focuses on clustering Web...
Dell Zhang, Yisheng Dong
CORR
2011
Springer
172views Education» more  CORR 2011»
13 years 5 months ago
SafeVchat: Detecting Obscene Content and Misbehaving Users in Online Video Chat Services
Online video chat services such as Chatroulette, Omegle, and vChatter that randomly match pairs of users in video chat sessions are fast becoming very popular, with over a million...
Xinyu Xing, Yu-Li Liang, Hanqiang Cheng, Jianxun D...