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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 9 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
CORR
2006
Springer
76views Education» more  CORR 2006»
14 years 9 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 4 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»
12 years 12 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 3 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