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JMLR
2010
144views more  JMLR 2010»
13 years 3 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...

Book
545views
15 years 4 months ago
Artificial Intelligence: A Modern Approach
"Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continu...
Stuart Russell and Peter Norvig
ACSAC
2010
IEEE
13 years 7 months ago
Keeping data secret under full compromise using porter devices
We address the problem of confidentiality in scenarios where the attacker is not only able to observe the communication between principals, but can also fully compromise the commu...
Christina Pöpper, David A. Basin, Srdjan Capk...
ICDCS
2012
IEEE
11 years 11 months ago
Tiresias: Online Anomaly Detection for Hierarchical Operational Network Data
Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect prob...
Chi-Yao Hong, Matthew Caesar, Nick G. Duffield, Ji...
WCNC
2008
IEEE
14 years 3 months ago
Integrated Source-Channel Decoding for Correlated Data-Gathering Sensor Networks
Abstract— This paper explores integrated source-channel decoding, driven by wireless sensor network applications where correlated information acquired by the network is gathered ...
Sheryl L. Howard, Paul G. Flikkema