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TKDE
2008
218views more  TKDE 2008»
13 years 9 months ago
A General Model for Sequential Pattern Mining with a Progressive Database
Although there have been many recent studies on the mining of sequential patterns in a static database and in a database with increasing data, these works, in general, do not fully...
Jen-Wei Huang, Chi-Yao Tseng, Jian Chih Ou, Ming-S...
JPDC
2007
184views more  JPDC 2007»
13 years 9 months ago
Modeling of concurrent web sessions with bounded inconsistency in shared data
Client interactions with modern web-accessible network services are typically organized into sessions involving multiple requests that read and write shared application data. Ther...
Alexander Totok, Vijay Karamcheti
JSAC
2007
97views more  JSAC 2007»
13 years 9 months ago
R2: Random Push with Random Network Coding in Live Peer-to-Peer Streaming
— In information theory, it has been shown that network coding can effectively improve the throughput of multicast communication sessions in directed acyclic graphs. More practic...
Mea Wang, Baochun Li
AROBOTS
2002
115views more  AROBOTS 2002»
13 years 9 months ago
Statistical Learning for Humanoid Robots
The complexity of the kinematic and dynamic structure of humanoid robots make conventional analytical approaches to control increasingly unsuitable for such systems. Learning techn...
Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata...
BMCBI
2004
208views more  BMCBI 2004»
13 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein