Most well-known algorithms for equational solving are based on quantifier elimination. This technique iteratively eliminates the innermost block of existential/universal quantifie...
Motivated by the promotion of rewriting techniques and their use in major industrial applications, we have designed Tom: a pattern matching layer on top of conventional programming...
In this paper, we propose the Multi-Learner Based Recursive Supervised Training (MLRT) algorithm which uses the existing framework of recursive task decomposition, by training the...
Laxmi R. Iyer, Kiruthika Ramanathan, Sheng Uei Gua...
This work investigates the accuracy and efficiency tradeoffs between centralized and collective (distributed) algorithms for (i) sampling, and (ii) n-way data analysis techniques i...
We make a number of contributions to the study of the Quantified Constraint Satisfaction Problem (QCSP). The QCSP is an extension of the constraint satisfaction problem that can b...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...