9166 search results - page 146 / 1834 » A framework for comparing models of computation |
143
Voted
TSP
2010
14 years 10 months ago
2010
Graphical models are a framework for representing and exploiting prior conditional independence structures within distributions using graphs. In the Gaussian case, these models are...
149
Voted
HPDC
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper proposes a comprehensive modeling architecture for workloads on parallel computers using Markov chains in combination with state dependent empirical distribution functi...
89
Voted
ICIP
2009
IEEE
16 years 4 months ago
2009
IEEE
On-line action recognition from a continuous stream of actions is still an open problem with fewer solutions proposed compared to time-segmented action recognition. The most chall...
120
Voted
GECCO
2005
Springer
15 years 9 months ago
2005
Springer
Typical applications of evolutionary optimization in static environments involve the approximation of the extrema of functions. For dynamic environments, the interest is not to lo...
133
Voted
AAAI
2008
15 years 6 months ago
2008
We propose a new discriminative framework, namely Hidden Dynamic Conditional Random Fields (HDCRFs), for building probabilistic models which can capture both internal and external...