Linear Programming (LP) relaxations have become powerful tools for finding the most probable (MAP) configuration in graphical models. These relaxations can be solved efficiently u...
David Sontag, Talya Meltzer, Amir Globerson, Tommi...
Column generation has proven to be efficient in solving the linear programming relaxation of large scale instances ofthemultiple-depotvehicleschedulingproblem(MDVSP).Howeverdif...
Amar Oukil, Hatem Ben Amor, Jacques Desrosiers, Hi...
Restricting polymorphism to values is now the standard way to obtain soundness in ML-like programming languages with imperative features. While this solution has undeniable advant...
This paper reviews the use of genetic programming as an automated invention machine for the synthesis of both the topology and sizing of analog electrical circuits. The paper focu...
John R. Koza, Martin A. Keane, Matthew J. Streeter
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...