| Model input: | | Training set D = {(x1, y1), (x2, y2), …, (xm, ym)} | | Primary learner £1, £2, …, £T | | Secondary learner £ | | Process: | | 1: for t = 1, 2, …, T do | | 2: ht = £T (D) | | 3: end for | | 4: D = Ø; | | 5: for t = 1, 2, …, m do | | 6: for t = 1, 2, …, T do | | 7: Zit = ht (xi); | | 8: end for | | 9: Dj = DjU ((zi1, zi2, …, ziT), yi) | | 10: hj = (Dj) | | 11: end for | | Output: H (x) = hj (h1 (x), h2 (x), h3 (x), …, hT (x)) |
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