The Experts below are selected from a list of 106767 Experts worldwide ranked by ideXlab platform
Zhang Ying - One of the best experts on this subject based on the ideXlab platform.
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Fuzzy Support Vector Regression Based on Data Domain Description
Information & Computation, 2005Co-Authors: Zhang YingAbstract:In order to overcome the overfitting problem caused by noises and outliers in support vector machines (SVM), a fuzzy membership model based on support vector Data description (SVDD) is presented in this paper. The membership value to each input sample is confirmed according to its distance to the center of the smallest enclosing hypersphere in the feature space. The proposed model is applied to fuzzy support vector regression (FSVR) for 2 Dimensional Data Set simulation and predicting the concentration of 4 carboxybenzaldhyde (4 CBA) in industrial purified terephthalic acid (PTA) oxidation process. Simulation results indicate that the proposed method actually reduces the error of regression and yields higher accuracy than support vector regression(SVR) does.
Songyot Nakariyakul - One of the best experts on this subject based on the ideXlab platform.
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Suboptimal branch and bound algorithms for feature subSet selection: A comparative study☆
Pattern Recognition Letters, 2014Co-Authors: Songyot NakariyakulAbstract:Abstract The branch and bound algorithm is an optimal feature selection method that is well-known for its computational efficiency. However, when the Dimensionality of the original feature space is large, the computational time of the branch and bound algorithm becomes very excessive. If the optimality of the solution is allowed to be compromised, one can further improve the search speed of the branch and bound algorithm; the look-ahead search strategy can be employed to eliminate many solutions deemed to be suboptimal early in the search. In this paper, a comparative study of the look-ahead scheme in terms of the computational cost and the solution quality on four major branch and bound algorithms is carried out on real Data Sets. We also explore the use of suboptimal branch and bound algorithms on a high-Dimensional Data Set and compare its performance with other well-known suboptimal feature selection algorithms.
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A comparative study of suboptimal branch and bound algorithms
Information Sciences, 2014Co-Authors: Songyot NakariyakulAbstract:Abstract The branch and bound algorithm is widely known as an efficient approach for selecting optimal feature subSets. If the optimality of the solution is allowed to be compromised, it is possible to further improve the search speed of the branch and bound algorithm. This paper studies the look-ahead search strategy which can eliminate many solutions deemed to be suboptimal early in the branch and bound search. We propose ways to incorporate the look-ahead search scheme into four major branch and bound algorithms, namely the basic branch and bound algorithm, the ordered branch and bound algorithm, the fast branch and bound algorithm, and the adaptive branch and bound algorithm. A comparative study of the look-ahead scheme in terms of the computational cost and the solution quality on these suboptimal branch and bound algorithms is carried out on real Data Sets. Furthermore, we test the feasible use of suboptimal branch and bound algorithms on a high-Dimensional Data Set and compare its performance with other well-known suboptimal feature selection algorithms.
Robert A. Levine - One of the best experts on this subject based on the ideXlab platform.
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Three-Dimensional Echocardiographic Reconstruction of Right Ventricular Volume: In Vitro Comparison With Two-Dimensional Methods
Journal of The American Society of Echocardiography, 1994Co-Authors: Leng Jiang, Mark D. Handschumacher, Mark G. Hibberd, Mary Etta King, Arthur E. Weyman, Robert A. LevineAbstract:Two-Dimensional echocardiographic measures of right ventricular volume are limited by the asymmetric and crescentic shape of that ventricle and the difficulty in obtaining standardized views. We have developed a three-Dimensional echocardiographic system that automatically integrates images and positional Data and calculates right ventricular volume without the need for geometric assumptions or standardized views and a surfacing algorithm that takes advantage of the full three-Dimensional Data Set. The accuracy of this system was studied and compared with two-Dimensional methods in 12 gel-filled excised human right ventricles (18 to 74 ml). Volumes calculated by three-Dimensional echocardiography correlated well with actual values ( r = 0.99) and agreed more closely with them than did those obtained by two-Dimensional methods ( p
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three Dimensional echocardiography in vivo validation for left ventricular volume and function
Circulation, 1993Co-Authors: Samuel Siu, Mark D. Handschumacher, Arthur E. Weyman, Robert A. Levine, J M Rivera, J L Guerrero, J P Lethor, Michael H PicardAbstract:BACKGROUNDCurrent two-Dimensional echocardiographic measures of right ventricular volume are limited by the asymmetrical and crescentic shape of the ventricle and by difficulty in obtaining standardized views. Three-Dimensional echocardiographic reconstruction, which does not require geometric assumptions or standardized views, may therefore have potential advantages for determining right ventricular volume. Three-Dimensional techniques, however, have not been applied to the right ventricle in vivo, where cardiac motion and contraction could affect accuracy. The purpose of this study was to determine the feasibility and accuracy of three-Dimensional echocardiographic reconstruction for quantifying right ventricular volume and function in vivo. In particular, it was designed to test the accuracy of a newly developed system that provides rapid, efficient, and automated three-Dimensional Data collection (minimizing motion effects) and takes advantage of the full three-Dimensional Data Set to obtain volume.ME...
Mark D. Handschumacher - One of the best experts on this subject based on the ideXlab platform.
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Three-Dimensional Echocardiographic Reconstruction of Right Ventricular Volume: In Vitro Comparison With Two-Dimensional Methods
Journal of The American Society of Echocardiography, 1994Co-Authors: Leng Jiang, Mark D. Handschumacher, Mark G. Hibberd, Mary Etta King, Arthur E. Weyman, Robert A. LevineAbstract:Two-Dimensional echocardiographic measures of right ventricular volume are limited by the asymmetric and crescentic shape of that ventricle and the difficulty in obtaining standardized views. We have developed a three-Dimensional echocardiographic system that automatically integrates images and positional Data and calculates right ventricular volume without the need for geometric assumptions or standardized views and a surfacing algorithm that takes advantage of the full three-Dimensional Data Set. The accuracy of this system was studied and compared with two-Dimensional methods in 12 gel-filled excised human right ventricles (18 to 74 ml). Volumes calculated by three-Dimensional echocardiography correlated well with actual values ( r = 0.99) and agreed more closely with them than did those obtained by two-Dimensional methods ( p
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three Dimensional echocardiography in vivo validation for left ventricular volume and function
Circulation, 1993Co-Authors: Samuel Siu, Mark D. Handschumacher, Arthur E. Weyman, Robert A. Levine, J M Rivera, J L Guerrero, J P Lethor, Michael H PicardAbstract:BACKGROUNDCurrent two-Dimensional echocardiographic measures of right ventricular volume are limited by the asymmetrical and crescentic shape of the ventricle and by difficulty in obtaining standardized views. Three-Dimensional echocardiographic reconstruction, which does not require geometric assumptions or standardized views, may therefore have potential advantages for determining right ventricular volume. Three-Dimensional techniques, however, have not been applied to the right ventricle in vivo, where cardiac motion and contraction could affect accuracy. The purpose of this study was to determine the feasibility and accuracy of three-Dimensional echocardiographic reconstruction for quantifying right ventricular volume and function in vivo. In particular, it was designed to test the accuracy of a newly developed system that provides rapid, efficient, and automated three-Dimensional Data collection (minimizing motion effects) and takes advantage of the full three-Dimensional Data Set to obtain volume.ME...
Arthur E. Weyman - One of the best experts on this subject based on the ideXlab platform.
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Three-Dimensional Echocardiographic Reconstruction of Right Ventricular Volume: In Vitro Comparison With Two-Dimensional Methods
Journal of The American Society of Echocardiography, 1994Co-Authors: Leng Jiang, Mark D. Handschumacher, Mark G. Hibberd, Mary Etta King, Arthur E. Weyman, Robert A. LevineAbstract:Two-Dimensional echocardiographic measures of right ventricular volume are limited by the asymmetric and crescentic shape of that ventricle and the difficulty in obtaining standardized views. We have developed a three-Dimensional echocardiographic system that automatically integrates images and positional Data and calculates right ventricular volume without the need for geometric assumptions or standardized views and a surfacing algorithm that takes advantage of the full three-Dimensional Data Set. The accuracy of this system was studied and compared with two-Dimensional methods in 12 gel-filled excised human right ventricles (18 to 74 ml). Volumes calculated by three-Dimensional echocardiography correlated well with actual values ( r = 0.99) and agreed more closely with them than did those obtained by two-Dimensional methods ( p
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three Dimensional echocardiography in vivo validation for left ventricular volume and function
Circulation, 1993Co-Authors: Samuel Siu, Mark D. Handschumacher, Arthur E. Weyman, Robert A. Levine, J M Rivera, J L Guerrero, J P Lethor, Michael H PicardAbstract:BACKGROUNDCurrent two-Dimensional echocardiographic measures of right ventricular volume are limited by the asymmetrical and crescentic shape of the ventricle and by difficulty in obtaining standardized views. Three-Dimensional echocardiographic reconstruction, which does not require geometric assumptions or standardized views, may therefore have potential advantages for determining right ventricular volume. Three-Dimensional techniques, however, have not been applied to the right ventricle in vivo, where cardiac motion and contraction could affect accuracy. The purpose of this study was to determine the feasibility and accuracy of three-Dimensional echocardiographic reconstruction for quantifying right ventricular volume and function in vivo. In particular, it was designed to test the accuracy of a newly developed system that provides rapid, efficient, and automated three-Dimensional Data collection (minimizing motion effects) and takes advantage of the full three-Dimensional Data Set to obtain volume.ME...