1434 search results - page 76 / 287 » Stochastic computation |
160
Voted
CMSB
2009
Springer
15 years 7 months ago
2009
Springer
In this paper we consider the modeling of a selected portion of signal transduction events involved in the angiogenesis process. The detailed model of this process contains a large...
171
Voted
AAAI
2008
15 years 6 months ago
2008
When controlling dynamic systems, such as mobile robots in uncertain environments, there is a trade off between risk and reward. For example, a race car can turn a corner faster b...
114
Voted
ESTIMEDIA
2008
Springer
15 years 5 months ago
2008
Springer
We present a method for fine grain QoS control of multimedia applications. This method takes as input an application software composed of actions parameterized by quality levels. ...
137
Voted
NIPS
2007
15 years 5 months ago
2007
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
134
Voted
ACL
2009
15 years 1 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...