7311 search results - page 17 / 1463 » Time in State Machines |
124
Voted
COLT
1995
Springer
15 years 7 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...
113
Voted
DSN
2002
IEEE
15 years 8 months 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 ...
146
Voted
ICASSP
2011
IEEE
14 years 7 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...
137
Voted
CASES
2006
ACM
15 years 7 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 ...
132
Voted
ICASSP
2010
IEEE
15 years 3 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...