7311 search results - page 17 / 1463 » Time in State Machines |
COLT
1995
Springer
13 years 11 months ago
1995
Springer
We present algorithms for exactly learning unknown environments that can be described by deterministic nite automata. The learner performs a walk on the target automaton, where at...
DSN
2002
IEEE
14 years 8 days ago
2002
IEEE
Designing applications with timeliness requirements in environments of uncertain synchrony is known to be a difficult problem. In this paper, we follow the perspective of timing ...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The Support Vector Machine (SVM) methodology is an effective, supervised, machine learning method that gives stateof-the-art performance for brain state classification from funct...
CASES
2006
ACM
13 years 11 months ago
2006
ACM
Many embedded systems exhibit temporally and behaviorally disjoint behavior slices. When such behaviors are captured by state machines, the current design flow will capture it as ...
ICASSP
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...