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WSC
2007
15 years 5 months ago
A hybrid epidemic model: combining the advantages of agent-based and equation-based approaches
Agent-based models (ABMs) are powerful in describing structured epidemiological processes involving human behavior and local interaction. The joint behavior of the agents can be v...
Georgiy V. Bobashev, D. Michael Goedecke, Feng Yu,...
FUIN
2002
108views more  FUIN 2002»
15 years 2 months ago
Approximate Entropy Reducts
We use information entropy measure to extend the rough set based notion of a reduct. We introduce the Approximate Entropy Reduction Principle (AERP). It states that any simplificat...
Dominik Slezak
SAC
2009
ACM
15 years 10 months ago
Combining statistics and semantics via ensemble model for document clustering
Incorporating background knowledge into data mining algorithms is an important but challenging problem. Current approaches in semi-supervised learning require explicit knowledge p...
Samah Jamal Fodeh, William F. Punch, Pang-Ning Tan
EOR
2006
75views more  EOR 2006»
15 years 3 months ago
A rolling stock circulation model for combining and splitting of passenger trains
This paper addresses the railway rolling stock circulation problem. Given the departure and arrival times as well as the expected numbers of passengers, we have to assign the roll...
Pieter-Jan Fioole, Leo G. Kroon, Gábor Mar&...
IROS
2008
IEEE
113views Robotics» more  IROS 2008»
15 years 9 months ago
Motion recognition and generation by combining reference-point-dependent probabilistic models
— This paper presents a method to recognize and generate sequential motions for object manipulation such as placing one object on another or rotating it. Motions are learned usin...
Komei Sugiura, Naoto Iwahashi