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» Representing and generating uncertainty effectively
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TSMC
2010
15 years 29 days ago
State-Feedback Control of Fuzzy Discrete-Event Systems
In a 2002 paper, we combined fuzzy logic with discrete-event systems (DESs) and established an automaton model of fuzzy DESs (FDESs). The model can effectively represent determinis...
Feng Lin, Hao Ying
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 10 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang
BMCBI
2005
79views more  BMCBI 2005»
15 years 6 months ago
Mathematical design of prokaryotic clone-based microarrays
Background: Clone-based microarrays, on which each spot represents a random genomic fragment, are a good alternative to open reading frame-based microarrays, especially for microo...
Bart Pieterse, Elisabeth J. Quirijns, Frank H. J. ...
DIAGRAMS
2004
Springer
15 years 11 months ago
An Architecture for Problem Solving with Diagrams
In problem solving a goal/subgoal is either solved by generating needed information from current information, or further decomposed into additional subgoals. In traditional problem...
B. Chandrasekaran, Unmesh Kurup, Bonny Banerjee, J...
CVPR
2004
IEEE
15 years 10 months ago
Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
Yizhou Wang, Song Chun Zhu