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5. In a magnetoencephalography (MEG) experiment, we attempt to partition the space of dipole model order versus reduced chi-square value for the dipole fit. This could be useful to an MEG researcher in determining any trends in his or her data-fitting procedures. Typical ranges for these parameters would be as follows: Dipole model order = (1, 2,..., 6)=xli, Reduced x2 E (1, 3)=x2i. %3D %3D Suppose we have three MEG data points, Xi= (Xli, X2i), i =1,2, 3, to classify into two classes. The data are

5. In a magnetoencephalography (MEG) experiment, we attempt to partition the space of dipole model order versus reduced chi-square value for the dipole fit. This could be useful to an MEG researcher in determining any trends in his or her data-fitting procedures. Typical ranges for these parameters would be as follows: Dipole model order = (1, 2,..., 6)=xli, Reduced x2 E (1, 3)=x2i. %3D %3D Suppose we have three MEG data points, Xi= (Xli, X2i), i =1,2, 3, to classify into two classes. The data are

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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5. In a magnetoencephalography (MEG) experiment, we attempt to partition the space of dipole model order versus reduced chi-square value for the dipole fit. This could be useful to an MEG researcher in determining any trends in his or her data-fitting procedures. Typical ranges for these parameters would be as follows: Dipole model order (1, 2,.. ., 6)=X1i, Reduced x2 E (1, 3)=x2i. Suppose we have three MEG data points, Xi= (Xli, X2i), i= 1, 2, 3, to classify into two classes. The data are X1 = (2, 1.5), X2 = (3, 2.5) and x3 = (4, 2). Find the optimum fuzzy 2-partition using the following initial partition: U0) = 10 0 0 1 1 %3D (Use m'= 2.0 and ɛL <0.01.)
Transcribed Image Text:5. In a magnetoencephalography (MEG) experiment, we attempt to partition the space of dipole model order versus reduced chi-square value for the dipole fit. This could be useful to an MEG researcher in determining any trends in his or her data-fitting procedures. Typical ranges for these parameters would be as follows: Dipole model order (1, 2,.. ., 6)=X1i, Reduced x2 E (1, 3)=x2i. Suppose we have three MEG data points, Xi= (Xli, X2i), i= 1, 2, 3, to classify into two classes. The data are X1 = (2, 1.5), X2 = (3, 2.5) and x3 = (4, 2). Find the optimum fuzzy 2-partition using the following initial partition: U0) = 10 0 0 1 1 %3D (Use m'= 2.0 and ɛL <0.01.)
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