Unformatted text preview: T . 1. (50 points) You are now set to learn this kernel. Hand the input and the output signal to a new program that attempts to learn the kernel h ( t ) via a simple gradient descent rule. Quantify how well your program learns the kernel by plotting the square-error on the output signal as time progresses. 2. (50 points) Now assume that the output signal passes thru the static nonlinearity ˜ y ( t ) = ( y ( t )) 3 . Ask your program to learn a kernel for this pair of input and output, i.e., x ( t ) and ˜ y ( t ) . Quantify how well your system performs on this case. 1...
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This note was uploaded on 01/15/2012 for the course CIS 4930 taught by Professor Staff during the Spring '08 term at University of Florida.
- Spring '08