Learning from Data by Interval Linear Programming
2010 ◽
Vol 439-440
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pp. 710-714
Keyword(s):
The linear programming based method are popular methods for learning from empirical data (observations, samples, examples, records). In this paper, an interval linear programming based method for regression problems is proposed. The explicit representation of the general optimal solution of regression problem is obtained in terms of a generalized inverse of the constraint matrix. This explicit solution has obvious theoretical (and possibly computational) advantages over the well-known iterative methods of linear programming.
2021 ◽
Vol 10
(12)
◽
pp. 3699-3723
2014 ◽
Vol 513-517
◽
pp. 1617-1620
2018 ◽
Vol 72
(1)
◽
pp. 269-292
◽
Keyword(s):
Keyword(s):
Keyword(s):
2015 ◽
Vol 15
(2)
◽
pp. 155-175
◽