TY  - JOUR
AU  - Beliakov, G.
AU  - Gomez, D.
AU  - Jameson, Simon S
AU  - Montero, Javier
AU  - Rodríguez, Juan Tinguaro
PY  - 2017
DO  - 10.1016/j.fss.2017.02.003
SN  - 0165-0114
UR  - https://hdl.handle.net/20.500.14352/18125
T2  - Fuzzy Sets and Systems
AB  - The problem of missing data is common in real-world applications of supervised machine learning such as classification and regression. Such data often gives rise to the need for functions defined for varying dimension. Here we propose optimization...
LA  - eng
M2  - 97
PB  - Elsevier Science Bv
KW  - Aggregation functions
KW  - Strict stability
KW  - Missing data
KW  - Weight learning
KW  - Linear programming
TI  - Approaches to learning strictly-stable weights for data with missing values.
TY  - journal article
VL  - 325
ER  -