1291 search results - page 170 / 259 » Learning Rules from Distributed Data |
121
Voted
VLDB
1997
ACM
15 years 6 months ago
1997
ACM
Query optimizers that explore a search space exhaustively using transformation rules usually apply all possible rules on each alternative, and stop when no new information is prod...
142
click to vote
ACMICEC
2005
ACM
15 years 8 months ago
2005
ACM
In order to capture the full fledge semantic of complicated product data model, the expressive language ALCNHR+ K(D) is introduced. It cannot only be able to represent knowledge a...
126
click to vote
JMLR
2006
15 years 2 months ago
2006
We study the computational and sample complexity of parameter and structure learning in graphical models. Our main result shows that the class of factor graphs with bounded degree...
124
Voted
KDD
2004
ACM
16 years 3 months ago
2004
ACM
There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
127
Voted
INFFUS
2008
15 years 2 months ago
2008
Data processing applications for sensor streams have to deal with multiple continuous data streams with inputs arriving at highly variable and unpredictable rates from various sour...