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Study of Sparse Online Gaussian Process for Regression

Study of Sparse Online Gaussian Process for Regression

Study of Sparse Online Gaussian Process for Regression. EE645 Final Project May 2005 Eric Saint Georges. Contents. Introduction OGP Definition of Gaussian Process Sparse Online GP algorithm (OGP) Simulation Results Comparison with LS SVM on Boston Housing data set (Batch)

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784 views • 76 slides
Student : Chuan LU Promoters: Prof. Dr. Ir. Sabine Van Huffel

Student : Chuan LU Promoters: Prof. Dr. Ir. Sabine Van Huffel

Predictive Computer Models for Medical Classification Problems PhD progress report (2000.8 ~ 2003.10). Student : Chuan LU Promoters: Prof. Dr. Ir. Sabine Van Huffel Prof. Dr. Ir. Johan Suykens Advisers : Prof. Dr. Dirk Timmerman

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481 views • 26 slides
C. Lu 1 , T. Van Gestel 1 , J. A. K. Suykens 1 , S. Van Huffel 1 , D. Timmerman 2 , I. Vergote 2

C. Lu 1 , T. Van Gestel 1 , J. A. K. Suykens 1 , S. Van Huffel 1 , D. Timmerman 2 , I. Vergote 2

Preoperative Prediction of Malignancy of Ovarian Tumors Using Least Squares Support Vector Machines. C. Lu 1 , T. Van Gestel 1 , J. A. K. Suykens 1 , S. Van Huffel 1 , D. Timmerman 2 , I. Vergote 2 1 Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium,

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349 views • 24 slides
Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines

Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines

Classification of Ovarian Tumors Using Bayesian Least Squares Support Vector Machines. C. Lu 1 , T. Van Gestel 1 , J. A. K. Suykens 1 , S. Van Huffel 1 , D. Timmerman 2 , I. Vergote 2 1 Department of Electrical Engineering, Katholieke Universiteit Leuven, Leuven, Belgium,

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230 views • 20 slides
Prediction of Malignancy of Ovarian Tumors Using Least Squares Support Vector Machines

Prediction of Malignancy of Ovarian Tumors Using Least Squares Support Vector Machines

Positive definite kernel K(.,.) RBF: Linear:. Procedure of developing models to predict the malignancy of ovarian tumors. ROC curve on test set. Expected ROC curve on validation. training. test. -- LSSVMrbf -- LSSVMlin -- LR -- RMI.

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126 views • 1 slides

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