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KDD
2010
ACM
257views Data Mining» more  KDD 2010»
15 years 10 months ago
Multi-task learning for boosting with application to web search ranking
In this paper we propose a novel algorithm for multi-task learning with boosted decision trees. We learn several different learning tasks with a joint model, explicitly addressing...
Olivier Chapelle, Pannagadatta K. Shivaswamy, Srin...
AISS
2010
165views more  AISS 2010»
15 years 3 months ago
Proposing a Comprehensive Storage Virtualization Architecture with Related Verification for Data Center Application
A successful IT Company is characterized by its ability to put the right information in front of the right decision-makers at the right time while concerns about security issues. ...
M. R. Aliabadi, Mohammad Reza Ahmadi
AI
2006
Springer
15 years 6 months ago
Generating and evaluating evaluative arguments
Evaluative arguments are pervasive in natural human communication. In countless situations people attempt to advise or persuade their interlocutors that something is desirable (vs...
Giuseppe Carenini, Johanna D. Moore
VTC
2007
IEEE
166views Communications» more  VTC 2007»
16 years 18 days ago
Analysis of Non-Saturation and Saturation Performance of IEEE 802.11 DCF in the Presence of Hidden Stations
—In this paper, we propose an analytical model to evaluate the hidden station effect on both non-saturation and saturation performance of the IEEE 802.11 Distributed Coordination...
Fu-Yi Hung, Ivan Marsic
IEEEARES
2008
IEEE
16 years 23 days ago
Evaluation of Anomaly Based Character Distribution Models in the Detection of SQL Injection Attacks
The ubiquity of web applications has led to an increased focus on the development of attacks targeting these applications. One particular type of attack that has recently become p...
Mehdi Kiani, Andrew Clark, George M. Mohay