Abstract: We introduce an approach that automatically learns to solve algebra word problems. Our algorithm, a pioneering result for this task, reasons across sentence boundaries. It constructs and ...

This paper introduces an interval valued linear fractional programming problem (IVLFP). An IVLFP is a linear frac-tional programming problem with interval coefficients in the objective function. It is ...

This paper develops an algorithm for pure integer programming problems. It first transforms the integer programming problem to an algebraically equivalent Hermite canonical problem, and then employs ...

Intuitionistic Fuzzy Set (IFS) can be used as a general tool for modeling problems of decision making under uncertainty where, the degree of rejection is defined simultaneously with the degree of ...

Word embeddings are often constructed with discriminative models such as deep nets and word2vec. Mikolov et al (2013) showed that these embeddings exhibit linear structure that is useful in solving ...

Linear programming is a mathematical optimization technique used to optimize a linear objective function subject to a set of linear constraints. It involves finding the values of decision variables ...