Learn ++.MF: A random subspace approach for the missing feature problem.

R. Polikar, J. DePasquale, H.S. Mohammed, G. Brown, L.I. Kuncheva

Research output: Contribution to journal › Article › peer-review

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@article{deaa4c13fcc24fc1b22e1d49f6150923,

title = "Learn ++.MF: A random subspace approach for the missing feature problem.",

author = "R. Polikar and J. DePasquale and H.S. Mohammed and G. Brown and L.I. Kuncheva",

year = "2010",

month = nov,

day = "1",

doi = "10.1016/j.patcog.2010.05.028",

language = "English",

volume = "43",

pages = "3817--3832",

journal = "Pattern Recognition",

issn = "0031-3203",

publisher = "Elsevier",

number = "11",

}

TY - JOUR

T1 - Learn ++.MF: A random subspace approach for the missing feature problem.

AU - Polikar, R.

AU - DePasquale, J.

AU - Mohammed, H.S.

AU - Brown, G.

AU - Kuncheva, L.I.

PY - 2010/11/1

Y1 - 2010/11/1

U2 - 10.1016/j.patcog.2010.05.028

DO - 10.1016/j.patcog.2010.05.028

M3 - Article

SN - 0031-3203

VL - 43

SP - 3817

EP - 3832

JO - Pattern Recognition

JF - Pattern Recognition

IS - 11

ER -