We study a family of problems, called Maximum Solution, where the objective is to maximise a linear goal function over the feasible integer assignments to a set of variables subjec...
A weakness of classical Markov decision processes (MDPs) is that they scale very poorly due to the flat state-space representation. Factored MDPs address this representational pro...
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
This paper describes a novel technique for the synthesis of imperative programs. Automated program synthesis has the potential to make programming and the design of systems easier...
Saurabh Srivastava, Sumit Gulwani, Jeffrey S. Fost...
We introduce the Symmetric Reduction Ansatz at a point from the closure of the feasible set in generalized semi-infinite programming. A corresponding Symmetric Reduction Lemma is s...