1183 search results - page 104 / 237 » Learning Process Models with Missing Data |
120
click to vote
GI
2009
Springer
15 years 5 months ago
2009
Springer
: Large traffic network systems require handling huge amounts of data, often distributed over a large geographical region in space and time. Centralised processing is not then the ...
MLDM
2009
Springer
15 years 8 months ago
2009
Springer
Abstract. Regression models are often required for controlling production processes by predicting parameter values. However, the implicit assumption of standard regression techniqu...
125
Voted
ICASSP
2011
IEEE
14 years 5 months ago
2011
IEEE
In many applications decisions must be made about the state of an object based on indirect noisy observation of highdimensional data. An example is the determination of the presen...
114
click to vote
KDD
2006
ACM
16 years 1 months ago
2006
ACM
Motivated by numerous applications in which the data may be modeled by a variable subscripted by three or more indices, we develop a tensor-based extension of the matrix CUR decom...
110
click to vote
TGIS
2010
14 years 12 months ago
2010
Building on abstract reference models, the Open Geospatial Consortium (OGC) has established standards for storing, discovering, and processing geographical information. These stan...