12 search results - page 1 / 3 » Toward Large-Scale Vulnerability Discovery using Machine Lea... |
IJCAI
2007
13 years 6 months ago
2007
This paper addresses the problem of concept sampling. In many real-world applications, a large collection of mixed concepts is available for decision making. However, the collecti...
AAAI
2008
13 years 7 months ago
2008
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
NSDI
2008
13 years 7 months ago
2008
Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. This paper shows how an adversary can exploit statistical m...
LREC
2008
13 years 6 months ago
2008
Data Selection has emerged as a common issue in language technologies. We define Data Selection as the choosing of a subset of training data that is most effective for a given tas...
ESANN
2000
13 years 6 months ago
2000
Many large -scale spatial data analysis problems involve an investigation of relationships in heterogeneous databases. In such situations, instead of making predictions uniformly a...