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ICTAI
2007
IEEE
14 years 1 months ago
Conceptual Clustering Categorical Data with Uncertainty
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
Yuni Xia, Bowei Xi
GECCO
2003
Springer
114views Optimization» more  GECCO 2003»
14 years 25 days ago
Genetic Algorithm for Supply Planning Optimization under Uncertain Demand
Supply planning optimization is one of the most important issues for manufacturers and distributors. Supply is planned to meet the future demand. Under the uncertainty involved in ...
Masaru Tezuka, Masahiro Hiji
WISE
2008
Springer
14 years 2 months ago
Supporting Judgment of Fact Trustworthiness Considering Temporal and Sentimental Aspects
We have developed a system for helping users to determine the trustworthiness of uncertain facts based on sentiment and temporal viewpoints by aggregating information from the Web....
Yusuke Yamamoto, Taro Tezuka, Adam Jatowt, Katsumi...
IDA
2003
Springer
14 years 25 days ago
Guided Incremental Construction of Belief Networks
Because uncertain reasoning is often intractable, it is hard to reason with a large amount of knowledge. One solution to this problem is to specify a set of possible models, some s...
Charles A. Sutton, Brendan Burns, Clayton T. Morri...
HIS
2003
13 years 9 months ago
A Hybrid Approach for Learning Parameters of Probabilistic Networks from Incomplete Databases
– Probabilistic Inference Networks are becoming increasingly popular for modeling and reasoning in uncertain domains. In the past few years, many efforts have been made in learni...
S. Haider