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ESANN
2007
15 years 3 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
RAID
1999
Springer
15 years 6 months ago
Combining Knowledge Discovery and Knowledge Engineering to Build IDSs
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...
Wenke Lee, Salvatore J. Stolfo
MOBISYS
2010
ACM
15 years 4 months ago
PRISM: platform for remote sensing using smartphones
To realize the potential of opportunistic and participatory sensing using mobile smartphones, a key challenge is ensuring the ease of developing and deploying such applications, w...
Tathagata Das, Prashanth Mohan, Venkata N. Padmana...
HPCA
2006
IEEE
16 years 2 months ago
Exploiting parallelism and structure to accelerate the simulation of chip multi-processors
Simulation is an important means of evaluating new microarchitectures. Current trends toward chip multiprocessors (CMPs) try the ability of designers to develop efficient simulato...
David A. Penry, Daniel Fay, David Hodgdon, Ryan We...
WWW
2009
ACM
16 years 2 months ago
Understanding user's query intent with wikipedia
Understanding the intent behind a user's query can help search engine to automatically route the query to some corresponding vertical search engines to obtain particularly re...
Jian Hu, Gang Wang, Frederick H. Lochovsky, Jian-T...