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IJCAI
2007
15 years 8 months ago
Document Summarization Using Conditional Random Fields
Many methods, including supervised and unsupervised algorithms, have been developed for extractive document summarization. Most supervised methods consider the summarization task ...
Dou Shen, Jian-Tao Sun, Hua Li, Qiang Yang, Zheng ...
BMCBI
2007
160views more  BMCBI 2007»
15 years 6 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
DKE
2007
130views more  DKE 2007»
15 years 6 months ago
Enabling access-privacy for random walk based data analysis applications
Random walk graph and Markov chain based models are used heavily in many data and system analysis domains, including web, bioinformatics, and queuing. These models enable the desc...
Ping Lin, K. Selçuk Candan
TASE
2008
IEEE
15 years 6 months ago
Randomized Optimal Design of Parallel Manipulators
This work intends to deal with the optimal kinematic synthesis problem of parallel manipulators under a unified framework. Observing that regular (e.g., hyper-rectangular) workspac...
Yunjiang Lou, Guanfeng Liu, Zexiang Li
COR
2007
86views more  COR 2007»
15 years 6 months ago
Sourcing with random yields and stochastic demand: A newsvendor approach
We studied a supplier selection problem, where a buyer, while facing random demand, is to decide ordering quantities from a set of suppliers with different yields and prices.We pr...
Shitao Yang, Jian Yang, Layek Abdel-Malek