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» Structure learning of Bayesian networks using constraints
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ANLP
1997
106views more  ANLP 1997»
13 years 8 months ago
Incremental Finite-State Parsing
This paper describes a new finite-state shallow parser. It merges constructive and reductionist approaches within a highly modular architecture. Syntactic information is added at ...
Salah Ait-Mokhtar, Jean-Pierre Chanod
TAP
2008
Springer
102views Hardware» more  TAP 2008»
13 years 6 months ago
Visualizing graphs in three dimensions
It has been known for some time that larger graphs can be interpreted if laid out in 3D and displayed with stereo and/or motion depth cues to support spatial perception. However, ...
Colin Ware, Peter Mitchell
PODC
2004
ACM
14 years 3 days ago
Analyzing Kleinberg's (and other) small-world Models
We analyze the properties of Small-World networks, where links are much more likely to connect “neighbor nodes” than distant nodes. In particular, our analysis provides new re...
Charles U. Martel, Van Nguyen
ICASSP
2009
IEEE
14 years 1 months ago
Scalable distributed source coding
This paper considers the problem of scalable distributed coding of correlated sources that are communicated to a central unit. The general setting is typically encountered in sens...
Ankur Saxena, Kenneth Rose
ICDCSW
2003
IEEE
13 years 12 months ago
CATP: A Context-Aware Transportation Protocol for HTTP
— The rendering mechanism used in Web browsers have a significant impact on the user behavior and delay tolerance of retrieval. The head-of-line blocking phenomena prevents the ...
Huamin Chen, Prasant Mohapatra