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ICCBR
2010
Springer
14 years 1 months ago
Imitating Inscrutable Enemies: Learning from Stochastic Policy Observation, Retrieval and Reuse
In this paper we study the topic of CBR systems learning from observations in which those observations can be represented as stochastic policies. We describe a general framework wh...
Kellen Gillespie, Justin Karneeb, Stephen Lee-Urba...
ICDCS
2010
IEEE
14 years 1 months ago
A Hybrid Approach to High Availability in Stream Processing Systems
Abstract—Stream processing is widely used by today’s applications such as financial data analysis and disaster response. In distributed stream processing systems, machine fail...
Zhe Zhang, Yu Gu, Fan Ye, Hao Yang, Minkyong Kim, ...
KDD
2010
ACM
272views Data Mining» more  KDD 2010»
14 years 1 months ago
Beyond heuristics: learning to classify vulnerabilities and predict exploits
The security demands on modern system administration are enormous and getting worse. Chief among these demands, administrators must monitor the continual ongoing disclosure of sof...
Mehran Bozorgi, Lawrence K. Saul, Stefan Savage, G...
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
14 years 1 months ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...
SIGIR
2010
ACM
14 years 1 months ago
Estimating advertisability of tail queries for sponsored search
Sponsored search is one of the major sources of revenue for search engines on the World Wide Web. It has been observed that while showing ads for every query maximizes shortterm r...
Sandeep Pandey, Kunal Punera, Marcus Fontoura, Van...
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