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» Learning from Logged Implicit Exploration Data
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PRDC
1999
IEEE
15 years 4 months ago
Networked Windows NT System Field Failure Data Analysis
This paper presents a measurement-based dependability study of a Networked Windows NT system based on field data collected from NT System Logs from 503 servers running in a produc...
Jun Xu, Zbigniew Kalbarczyk, Ravishankar K. Iyer
KDD
2010
ACM
289views Data Mining» more  KDD 2010»
14 years 10 months ago
Exploitation and exploration in a performance based contextual advertising system
The dynamic marketplace in online advertising calls for ranking systems that are optimized to consistently promote and capitalize better performing ads. The streaming nature of on...
Wei Li 0010, Xuerui Wang, Ruofei Zhang, Ying Cui, ...
176
Voted
CVPR
2012
IEEE
13 years 5 months ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
103
Voted
GCC
2005
Springer
15 years 6 months ago
Knowledge Acquisition Based on the Global Concept of Fuzzy Cognitive Maps
Combination of prior knowledge and implicit knowledge hidden in the data of system can enhance the quality of information services in Knowledge Grid. Fuzzy Cognitive Maps (FCMs) ar...
Xiangfeng Luo
114
Voted
EDM
2010
145views Data Mining» more  EDM 2010»
15 years 1 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...