Sciweavers

345 search results - page 48 / 69
» Fusing Approximate Knowledge from Distributed Sources
Sort
View
DCC
2008
IEEE
14 years 8 months ago
Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes
Source coding theorems and Shannon rate-distortion functions were studied for the discrete-time Wiener process by Berger and generalized to nonstationary Gaussian autoregressive p...
Robert M. Gray, Takeshi Hashimoto
TIT
2008
84views more  TIT 2008»
13 years 7 months ago
A Note on Rate-Distortion Functions for Nonstationary Gaussian Autoregressive Processes
Source coding theorems and Shannon rate-distortion functions were studied for the discrete-time Wiener process by Berger and generalized to nonstationary Gaussian autoregressive p...
Robert M. Gray, Takeshi Hashimoto
ICML
2009
IEEE
14 years 9 months ago
Deep transfer via second-order Markov logic
Standard inductive learning requires that training and test instances come from the same distribution. Transfer learning seeks to remove this restriction. In shallow transfer, tes...
Jesse Davis, Pedro Domingos
SIGMOD
2008
ACM
113views Database» more  SIGMOD 2008»
13 years 8 months ago
Supporting OLAP operations over imperfectly integrated taxonomies
OLAP is an important tool in decision support. With the help of domain knowledge, such as hierarchies of attribute values, OLAP helps the user observe the effects of various decis...
Yan Qi 0002, K. Selçuk Candan, Jun'ichi Tat...
FOIKS
2010
Springer
14 years 3 months ago
Towards a Paradoxical Description Logic for the Semantic Web
As a vision for the future of the Web, the Semantic Web is an open, constantly changing and collaborative environment. Hence it is reasonable to expect that knowledge sources in th...
Xiaowang Zhang, Zuoquan Lin, Kewen Wang