21 search results - page 2 / 5 » Data Dependent Concentration Bounds for Sequential Predictio... |
JMLR
2011
13 years 7 days ago
2011
In this paper the sequential prediction problem with expert advice is considered for the case where losses of experts suffered at each step cannot be bounded in advance. We presen...
JCP
2007
13 years 5 months ago
2007
— Following a toxic contaminant release, either accidental or intentional, predicting the transport and dispersion of the contaminant becomes a critical problem for Homeland Defe...
JPDC
2007
13 years 5 months ago
2007
Client interactions with modern web-accessible network services are typically organized into sessions involving multiple requests that read and write shared application data. Ther...
GBRPR
2007
Springer
13 years 11 months ago
2007
Springer
Segmentation algorithms based on an energy minimisation framework often depend on a scale parameter which balances a fit to data and a regularising term. Irregular pyramids are de...
SODA
2001
ACM
13 years 6 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...