1058 search results - page 68 / 212 » Inferring Knowledge from a Large Semantic Network |
106
click to vote
SAC
2009
ACM
15 years 4 months ago
2009
ACM
Pervasive computing devices (e.g., sensor networks, localization devices, cameras, etc.) are increasingly present in every aspect of our lives. These devices are able to generate ...
ICPR
2008
IEEE
16 years 1 months ago
2008
IEEE
When a large amount of data are missing, or when multiple hidden nodes exist, learning parameters in Bayesian networks (BNs) becomes extremely difficult. This paper presents a lea...
112
click to vote
NIPS
1998
15 years 1 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
TSMC
2002
14 years 11 months ago
2002
Abstract--In developing a tutoring system, one of the most difficult tasks is to collect tutoring knowledge from multiple educators, especially courses in which the contents change...
154
click to vote
WSDM
2012
ACM
13 years 7 months ago
2012
ACM
Recent research has made significant advances in automatically constructing knowledge bases by extracting relational facts (e.g., Bill Clinton-presidentOf-US) from large text cor...