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KES
2006
Springer
15 years 5 months ago
Stock Index Modeling Using Hierarchical Radial Basis Function Networks
Forecasting exchange rates is an important financial problem that is receiving increasing attention especially because of its difficulty and practical applications. This paper prop...
Yuehui Chen, Lizhi Peng, Ajith Abraham
AUSAI
2006
Springer
15 years 8 months ago
Robust Character Recognition Using a Hierarchical Bayesian Network
There is increasing evidence to suggest that the neocortex of the mammalian brain does not consist of a collection of specialised and dedicated cortical architectures, but instead ...
John Thornton, Torbjorn Gustafsson, Michael Blumen...
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
16 years 5 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri
EUSFLAT
2009
312views Fuzzy Logic» more  EUSFLAT 2009»
15 years 2 months ago
Forecasting Exchange Rates: A Neuro-Fuzzy Approach
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
TBILLC
2007
Springer
15 years 11 months ago
Expressing Belief Flow in Assertion Networks
In the line of some earlier work done on belief dynamics, we an abstract model of belief propagation on a graph based on the methodology of the revision theory of truth. A modal la...
Sujata Ghosh, Fernando R. Velázquez-Quesada