02417 Lecture 13 part A: RLS

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  • เผยแพร่เมื่อ 1 ธ.ค. 2024

ความคิดเห็น • 4

  • @juneyang8598
    @juneyang8598 6 ปีที่แล้ว +1

    Thank god for this resolution and crisp fps

  • @MrBheijden
    @MrBheijden 5 ปีที่แล้ว

    Nice explanation video! I have a few question regarding the RLS formulations at 5:59; If the output Y is not 1-dimensional, the matrix-inversion cannot be avoided right? And, a second question I have is the following: At 5:00 it is stated that one should only start calculating theta when R is invertible. How can this be done in the formulations at 5:59 as the recursion depends on the previous theta (meaning you are forced to calculate theta at every instance)? If there is no easy way of doing this with the formulations at 5:59, I will go with the one of 5:00.

  • @panasko1
    @panasko1 2 ปีที่แล้ว

    Thank you!