Search Results - subject:"pattern recognition"

Financial market forecasting using a two-step kernel learning method for the support vector regression

Wang, Li; Zhu, Ji - 2010

Persistent link: https://www.econbiz.de/10003962183

Support Vector Machine (SVM) as a multivariate statistical technique for the assessment of credit risk : a comparison with classical techniques as linear discriminant analysis and logit based on Deutsche Bundesbank data

Fassbender, Martin; Auria, Laura - In: 30 Jahre Fachhochschule der Deutschen Bundesbank : …, (pp. 375-396). 2010

Persistent link: https://www.econbiz.de/10008806552

Econometric Modelling based on Pattern recognition via the Fuzzy c-Means Clustering Algorithm

Giles, David E. A.; Draeseke, Robert - Department of Economics, University of Victoria - 2001

based on the Fuzzy c-Means algorithm that is widely used in the context of pattern recognition, and the Takagi …

Persistent link: https://www.econbiz.de/10005800941

Output Convergence and International Trade: Time-Series and Fuzzy Clustering Evidence for New Zealand and Her Trading Partners, 1950-1992

Giles, David E. A. - Department of Economics, University of Victoria - 2001

Using historical time-series data, we test for convergence and common trends in real per capita output for New Zealand and her four major trading partners. Both bivariate and multivariate time-series methods are used, and we also implement the fuzzy c-means clustering algorithm as an alternative...

Persistent link: https://www.econbiz.de/10005260592

SVM kernels for time series analysis

Rüping, Stefan - 2001

Time series analysis is an important and complex problem in machine learning and statistics. Real-world applications can consist of very large and high dimensional time series data. Support Vector Machines (SVMs) are a popular tool for the analysis of such data sets. This paper presents some SVM...

Persistent link: https://www.econbiz.de/10009776763

The application of chemometrics derived pattern recognition methods to futures market analysis

Yu, Tao - 2009

algorithm, a pattern recognition method extensively used in chemometrics, has been employed to recognize similarities of current … market movements and historical markets to permit market forecasts. Bayesian analysis, another pattern recognition method … possibilities of utilizing pattern recognition methods to obtain correct market forecasts. Also, a novel use of moving averages …

Persistent link: https://www.econbiz.de/10009460820

Consideration of Trends in Evaluating Inter-basin Water Transfer Alternatives within a Fuzzy Decision Making Framework

Xuesen, Li; Bende, Wang; Mehrotra, Rajeshwar; Sharma, Ashish - In: Water Resources Management 23 (2009) 15, pp. 3207-3220

fuzzy pattern recognition to appraise the water supply decision schemes in inter-basin diversion systems. The proposed …

Persistent link: https://www.econbiz.de/10010847306

Selection of multiresolution rotationally invariant moments for image recognition

Rodtook, A.; Makhanov, S.S. - In: Mathematics and Computers in Simulation (MATCOM) 79 (2009) 8, pp. 2458-2475

We propose multiresolution filter bank techniques to construct rotationally invariant moments. The multiresolution pyramid motivates a simple but efficient feature selection procedure based on a combination of a pruning algorithm, a new version of the Apriori mining techniques and partially...

Persistent link: https://www.econbiz.de/10010749090

A study of the use of self‐organising maps in information retrieval

Saarikoski, Jyri; Laurikkala, Jorma; Järvelin, Kalervo; … - In: Journal of Documentation 65 (2009) 2, pp. 304-322

Purpose – The aim of this paper is to explore the possibility of retrieving information with Kohonen self‐organising maps, which are known to be effective to group objects according to their similarity or dissimilarity. Design/methodology/approach – After conventional preprocessing, such...

Persistent link: https://www.econbiz.de/10014853371

Roundtable: how decision analytics help leaders compete

In: Strategy & Leadership 37 (2009) 3, pp. 37-41

Purpose – The aim of the paper is to bring together a group of distinguished thinkers and practitioners from the Accenture Institute for High Performance Business from several disciplines for a roundtable discussion about “decisions analytics.” Design/methodology/approach – At the center...

Persistent link: https://www.econbiz.de/10015016657