1
Forex Revolution: An Insider's Guide to the Real World of Foreign Exchange Trading
Peter Rosenstreich
June 2005
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Publisher: Financial Times Prentice Hall
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2
Developing and assessing an intelligent forex rolling forecasting and trading decision support system for online e-service: Research Articles
Lean Yu, Shouyang Wang, Kin Keung Lai, Wayne W. Huang
May 2007
International Journal of Intelligent Systems, Volume 22 Issue 5
Publisher: John Wiley & Sons, Inc.
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An effective foreign exchange (forex) trading decision is usually dependent on effective forex forecasting. In this study, an intelligent system framework integrating forex forecasting and trading decision is first proposed. Based on this framework, ...
3
Designing a Hybrid AI System as a Forex Trading Decision Support Tool
Lean Yu, Kin Keung Lai, Shouyang Wang
November 2005
ICTAI '05: Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Publisher: IEEE Computer Society
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In this study, a hybrid artificial intelligent (AI) system integrating neural network and expert system is proposed to support foreign exchange (forex) trading decisions. In this system, a neural network is used to predict the forex price in terms of ...
4
CU FOREX: a bilingual spoken dialog system for foreign exchange enquiries
H. M. Meng, S. Lee, C. Wai
June 2000
ICASSP '00: Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 02, Volume 02
Publisher: IEEE Computer Society
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This paper reports on the design, development and evaluation of a bilingual telephone-based spoken language system for foreign exchange inquiries-the CU FOREX system. The telephone-based system supports Cantonese and English in a single spoken language ...
5
Connectionist projection pursuit regression
William Verkooijen, Hennie Daniels
August 1994
Computational Economics, Volume 7 Issue 3
Publisher: Kluwer Academic Publishers
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Keywords: forex modelling, neural networks, projection pursuit regression
6
SVM Based Models for Predicting Foreign Currency Exchange Rates
Joarder Kamruzzaman, Ruhul A. Sarker, Iftekhar Ahmad
November 2003
ICDM '03: Proceedings of the Third IEEE International Conference on Data Mining
Publisher: IEEE Computer Society
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Support vector machine (SVM) has appeared as a powerfultool for forecasting forex market and demonstrated betterperformance over other methods, e.g., neural network orARIMA based model. SVM-based forecasting modelnecessitates the selection of appropriate ...
7
DIVA: recognition of typical situations for turbine generator diagnosis
J.-M. David, J.-P. Krivine, J.-P. Tiarri, B. Ricard
April 1989
Journal of Intelligent and Robotic Systems, Volume 1 Issue 3
Publisher: Kluwer Academic Publishers
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8
Scalability and portability of a belief network-based dialog model for different application domains
Carmen Wai, Helen M. Meng, Roberto Pieraccini
March 2001
HLT '01: Proceedings of the first international conference on Human language technology research
Publisher: Association for Computational Linguistics
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This paper describes the scalability and portability of a Belief Network (BN)-based mixed initiative dialog model across application domains. The Belief Networks (BNs) are used to automatically govern the transitions between a system-initiative and a ...
9
A multivariate neuro-fuzzy system for foreign currency risk management decision making
Vincent C. S. Lee, Hsiao Tshung Wong
January 2007
Neurocomputing, Volume 70 Issue 4-6
Publisher: Elsevier Science Publishers B. V.
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Currency risk management decision involves deciding on when, how much and what hedging instrument (i.e., currency futures or options) should be used to hedge its risk exposure with the base currency. Intuitively the accuracy in forecasting the direction ...Keywords: Macroeconomic variables, Multivariate fuzzy neural network, Risky decision making, Spot foreign exchange rates
10
Strategic Long-Term Financial Risks: Single Risk Factors
Paul Embrechts, Roger Kaufmann, Pierre Patie
October 2005
Computational Optimization and Applications, Volume 32 Issue 1-2
Publisher: Kluwer Academic Publishers
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The question of the measurement of strategic long-term financial risks is of considerable importance. Existing modelling instruments allow for a good measurement of market risks of trading books over relatively small time intervals. However, these approaches ...Keywords: GARCH process, autoregressive model, expected shortfall, extreme value theory, random walk, scaling rules, value-at-risk
11
Objective speech quality measurement using statistical data mining
Wei Zha, Wai-Yip Chan
January 2005
EURASIP Journal on Applied Signal Processing, Volume 2005 Issue 1
Publisher: Hindawi Publishing Corp.
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Measuring speech quality by machines overcomes two major drawbacks of subjective listening tests, their low speed and high cost. Real-time, accurate, and economical objective measurement of speech quality opens up a wide range of applications that cannot ...Keywords: classification trees, data mining, mean opinion scores, regression, speech perception, speech quality
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Statistical fuzzy interval neural networks for currency exchange rate time series prediction
Yan-Qing Zhang, Xuhui Wan
August 2007
Applied Soft Computing, Volume 7 Issue 4
Publisher: Elsevier Science Publishers B. V.
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In this paper, the statistical fuzzy interval neural network with statistical interval input and output values is proposed to perform statistical fuzzy knowledge discovery and the currency exchange rate prediction. Time series data sets are grouped into ...Keywords: Currency exchange rates, Fuzzy data mining, Fuzzy neural networks, Granular computing, Interval computing, Statistical computing, Time series prediction
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A neural network model based on the multi-stage optimization approach for short-term food price forecasting in China
Zou Haofei, Xia Guoping, Yang Fangting, Yang Han
August 2007
Expert Systems with Applications: An International Journal, Volume 33 Issue 2
Publisher: Pergamon Press, Inc.
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Many studies have demonstrated that back-propagation neural network can be effectively used to uncover the nonlinearity in the financial markets. Unfortunately, back-propagation algorithm suffers the problems of slow convergence, inefficiency, and lack ...Keywords: Artificial neural network, Back-propagation, Food price forecasting, Multi-stage optimization approach, Time series forecasting
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An investigation and comparison of artificial neural network and time series models for Chinese food grain price forecasting
H. F. Zou, G. P. Xia, F. T. Yang, H. Y. Wang
October 2007
Neurocomputing, Volume 70 Issue 16-18
Publisher: Elsevier Science Publishers B. V.
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This paper compares the predictive performance of ARIMA, artificial neural network and the linear combination models for forecasting wheat price in Chinese market. Empirical results show that the combined model can improve the forecasting performance ...Keywords: ARIMA, Artificial neural networks, Combined forecast, Price forecasting
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Electronic frontiers in foreign exchange trading
John Gallaugher, Nigel Melville
August 2004
Communications of the ACM, Volume 47 Issue 8
Publisher: ACM
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In pursuit of the $1.2-trillion-a-day opportunity.
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A Divide-and-Conquer Learning Approach to Radial Basis Function Networks
Yiu-Ming Cheung, Rong-Bo Huang
June 2005
Neural Processing Letters, Volume 21 Issue 3
Publisher: Kluwer Academic Publishers
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This paper presents a new divide-and-conquer based learning approach to radial basis function (RBF) networks, in which a conventional RBF network is divided into several RBF sub-networks. Each of them individually takes an input sub-space as its input. ...Keywords: Divide and conquer learning, hidden-layer decomposition, input decomposition, radial basis function network, recurrent radial basis function network
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A decade of modeling financial vehicles
William F. Frank, Anil Karunaratne
January 2000
OOPSLA '00: Addendum to the 2000 proceedings of the conference on Object-oriented programming, systems, languages, and applications (Addendum)
Publisher: ACM
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While building nine object-oriented financial systems since 1989, we evolved techniques for modeling “financial vehicles” (bonds, contracts, real estate, racehorses). We specify each particular financial vehicle and vehicle type by combining ...Keywords: dimension, domain, financial instrument, inheritance, role, type
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Trusting advice from other buyers in e-marketplaces: the problem of unfair ratings
Jie Zhang, Robin Cohen
August 2006
ICEC '06: Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
Publisher: ACM
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In electronic marketplaces populated by self-interested agents, buyer agents would benefit by modeling the reputation of seller agents, in order to make effective decisions about which agents to trust. One method for representing reputation is to ask ...Keywords: buyer and seller agents, electronic marketplaces, private and public reputation, trust, unfair ratings in social networks
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Design of Robust Output Controllers via Frequency Conditions
V. A. Brusin, M. M. Kogan
April 2002
Automation and Remote Control, Volume 63 Issue 4
Publisher: Plenum Press
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Frequency conditions determining the parameters of dynamic output controllers for different classes of uncertain systems, such as nonlinear Lur'e systems, systems with parameters switched by an unknown law, and systems with unknown bounded parameters, ...
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Execution patterns in object-oriented visualization
Wim De Pauw, David Lorenz, John Vlissides, Mark Wegman
April 1998
COOTS'98: Proceedings of the 4th conference on USENIX Conference on Object-Oriented Technologies and Systems (COOTS) - Volume 4, Volume 4
Publisher: USENIX Association
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Execution patterns are a new metaphor for visualizing execution traces of object-oriented programs. We present an execution pattern view that lets a programmer visualize and explore a program's execution at varied levels of abstraction. The view employs ...