509 search results - page 26 / 102 » Using Learning for Approximation in Stochastic Processes |
100
click to vote
WSC
2004
15 years 3 months ago
2004
We summarize the results of an experimental performance evaluation of using an empirical histogram to approximate the steady-state distribution of the underlying stochastic proces...
130
click to vote
DSMML
2004
Springer
15 years 7 months ago
2004
Springer
Learning curves for Gaussian process (GP) regression can be strongly affected by a mismatch between the ‘student’ model and the ‘teacher’ (true data generation process), e...
148
Voted
KDD
2012
ACM
13 years 4 months ago
2012
ACM
In this paper, we investigate a problem of predicting what images are likely to appear on the Web at a future time point, given a query word and a database of historical image str...
135
click to vote
ICWS
2004
IEEE
15 years 3 months ago
2004
IEEE
The advent of Web services has made automated workflow composition relevant to Web based applications. One technique that has received some attention, for automatically composing ...
134
click to vote
AAAI
2006
15 years 3 months ago
2006
We discuss the problem of finding a good state representation in stochastic systems with observations. We develop a duality theory that generalizes existing work in predictive sta...