702 search results - page 58 / 141 » Learning Probabilistic Models of Relational Structure |
120
Voted
KDD
2006
ACM
16 years 3 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
126
Voted
AAAI
2007
15 years 5 months ago
2007
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
139
Voted
WWW
2004
ACM
16 years 3 months ago
2004
ACM
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
151
Voted
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
There has been a recent, growing interest in classification and link prediction in structured domains. Methods such as conditional random fields and relational Markov networks sup...
118
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We propose statistical predicate invention as a key problem for statistical relational learning. SPI is the problem of discovering new concepts, properties and relations in struct...