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» Fuzzy models for prediction based on random set semantics
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TFS
2008
174views more  TFS 2008»
14 years 11 months ago
Type-2 Fuzzy Markov Random Fields and Their Application to Handwritten Chinese Character Recognition
In this paper, we integrate type-2 (T2) fuzzy sets with Markov random fields (MRFs) referred to as T2 FMRFs, which may handle both fuzziness and randomness in the structural patter...
Jia Zeng, Zhi-Qiang Liu
103
Voted
CORR
2006
Springer
76views Education» more  CORR 2006»
14 years 11 months ago
Inconsistent parameter estimation in Markov random fields: Benefits in the computation-limited setting
Consider the problem of joint parameter estimation and prediction in a Markov random field: i.e., the model parameters are estimated on the basis of an initial set of data, and th...
Martin J. Wainwright
IJACTAICIT
2010
153views more  IJACTAICIT 2010»
14 years 6 months ago
Prediction Using Recurrent Neural Network Based Fuzzy Inference system by the Modified Bees Algorithm
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
Zahra Khanmirzaei, Mohammad Teshnehlab
SDM
2012
SIAM
278views Data Mining» more  SDM 2012»
13 years 2 months ago
Legislative Prediction via Random Walks over a Heterogeneous Graph
In this article, we propose a random walk-based model to predict legislators’ votes on a set of bills. In particular, we first convert roll call data, i.e. the recorded votes a...
Jun Wang, Kush R. Varshney, Aleksandra Mojsilovic
MICAI
2005
Springer
15 years 5 months ago
Analysis of Performance of Fuzzy Logic-Based Production Scheduling by Simulation
Abstract. In this paper, a new fuzzy logic-based approach to production scheduling in the presence of uncertain disruptions is presented. The approach is applied to a real-life pro...
Alejandra Duenas, Dobrila Petrovic, Sanja Petrovic