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AAAI
2011
14 years 6 months ago
Relational Blocking for Causal Discovery
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
Matthew J. Rattigan, Marc E. Maier, David Jensen
AAAI
2011
14 years 6 months ago
A Switching Planner for Combined Task and Observation Planning
From an automated planning perspective the problem of practical mobile robot control in realistic environments poses many important and contrary challenges. On the one hand, the p...
Moritz Göbelbecker, Charles Gretton, Richard ...
ESORICS
2011
Springer
14 years 6 months ago
A Systematic Analysis of XSS Sanitization in Web Application Frameworks
While most research on XSS defense has focused on techniques for securing existing applications and re-architecting browser mechanisms, sanitization remains the industry-standard d...
Joel Weinberger, Prateek Saxena, Devdatta Akhawe, ...
KDD
2004
ACM
166views Data Mining» more  KDD 2004»
16 years 7 months ago
Predicting prostate cancer recurrence via maximizing the concordance index
In order to effectively use machine learning algorithms, e.g., neural networks, for the analysis of survival data, the correct treatment of censored data is crucial. The concordan...
Lian Yan, David Verbel, Olivier Saidi
EUROSYS
2006
ACM
16 years 3 months ago
Understanding user behavior in large-scale video-on-demand systems
Video-on-demand over IP (VOD) is one of the best-known examples of “next-generation” Internet applications cited as a goal by networking and multimedia researchers. Without em...
Hongliang Yu, Dongdong Zheng, Ben Y. Zhao, Weimin ...
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