1864 search results - page 245 / 373 » Modeling Classification and Inference Learning |
ACL
2010
13 years 6 months ago
2010
We argue that groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic representations. A simp...
JMLR
2010
13 years 3 months ago
2010
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
ICASSP
2011
IEEE
12 years 12 months ago
2011
IEEE
Mobile adaptive networks consist of a collection of nodes with learning and motion abilities that interact with each other locally in order to solve distributed processing and dis...
DATAMINE
2010
13 years 5 months ago
2010
: In dyadic prediction, the input consists of a pair of items (a dyad), and the goal is to predict the value of an observation related to the dyad. Special cases of dyadic predicti...
ICS
2005
Tsinghua U.
14 years 1 months ago
2005
Tsinghua U.
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...