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» Reasoning about Knowledge Using Rough Sets
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AIIA
2003
Springer
14 years 2 months ago
Abduction in Classification Tasks
The aim of this paper is to show how abduction can be used in classification tasks when we deal with incomplete data. Some classifiers, even if based on decision tree induction lik...
Maurizio Atzori, Paolo Mancarella, Franco Turini
IICAI
2007
14 years 2 days ago
Logics for Action
Logics of action, for reasoning about the effects of state change, and logics of belief, accounting for belief revision and update, have much in common. Furthermore, we may underta...
Michael P. Fourman
FLAIRS
2008
14 years 29 days ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon
CSL
2006
Springer
13 years 10 months ago
Adaptation of maximum entropy capitalizer: Little data can help a lot
A novel technique for maximum "a posteriori" (MAP) adaptation of maximum entropy (MaxEnt) and maximum entropy Markov models (MEMM) is presented. The technique is applied...
Ciprian Chelba, Alex Acero
IAT
2008
IEEE
14 years 5 months ago
Levels of Modalities for BDI Logic
The use of rational agents for modelling real world problems has both been heavily investigated and become well accepted, with BDI Logic being a widely used architecture to repres...
Jeff Blee, David Billington, Guido Governatori, Ab...