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AAAI
2012
11 years 11 months ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal
WWW
2009
ACM
14 years 3 months ago
A general framework for adaptive and online detection of web attacks
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
SIGMOD
2004
ACM
173views Database» more  SIGMOD 2004»
14 years 8 months ago
Relaxed Currency and Consistency: How to Say "Good Enough" in SQL
Despite the widespread and growing use of asynchronous copies to improve scalability, performance and availability, this practice still lacks a firm semantic foundation. Applicati...
Hongfei Guo, Jonathan Goldstein, Per-Åke Lar...
GFKL
2007
Springer
152views Data Mining» more  GFKL 2007»
14 years 2 months ago
Supporting Web-based Address Extraction with Unsupervised Tagging
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
Berenike Loos, Chris Biemann
PERCOM
2010
ACM
13 years 10 months ago
Collaborative real-time speaker identification for wearable systems
We present an unsupervised speaker identification system for personal annotations of conversations and meetings. The system dynamically learns new speakers and recognizes already k...
Mirco Rossi, Oliver Amft, Martin Kusserow, Gerhard...