2449 search results - page 95 / 490 » Tensor Embedding Methods |
106
Voted
DAC
1997
ACM
15 years 6 months ago
1997
ACM
Task scheduling forreactive real time systems is a di cult problem due to tight constraints that the schedule must satisfy. A static priority scheme is proposed here that can be f...
132
Voted
ICML
2005
IEEE
16 years 3 months ago
2005
IEEE
It is common in classification methods to first place data in a vector space and then learn decision boundaries. We propose reversing that process: for fixed decision boundaries, ...
92
Voted
EUROPAR
2006
Springer
15 years 5 months ago
2006
Springer
Abstract. Embedded Runge-Kutta methods are among the most popular methods for the solution of non-stiff initial value problems of ordinary differential equations (ODEs). We investi...
137
Voted
TCS
2008
15 years 2 months ago
2008
This paper studies a novel paradigm for learning formal languages from positive and negative examples which consists of mapping strings to an appropriate highdimensional feature s...
88
Voted
ICML
2008
IEEE
16 years 3 months ago
2008
IEEE
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...