8381 search results - page 205 / 1677 » The security of machine learning |
314
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EH
1999
IEEE
1999
IEEE
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
15 years 10 months ago
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
197
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ICML
2000
IEEE
16 years 7 months ago
2000
IEEE
This paper has no novel learning or statistics: it is concerned with making a wide class of preexisting statistics and learning algorithms computationally tractable when faced wit...
143
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IEEEARES
2009
IEEE
16 years 1 months ago
2009
IEEE
Within the field of software security we have yet to find efficient ways on how to learn from past mistakes and integrate security as a natural part of software development. Th...
132
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ICML
2003
IEEE
16 years 7 months ago
2003
IEEE
In many real world applications, active selection of training examples can significantly reduce the number of labelled training examples to learn a classification function. Differ...
158
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DCC
2006
IEEE
16 years 5 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...