We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...
This paper presents a new meta heuristic algorithm based on the search method called simulated annealing, and its application to solving multi objective simulation optimization pr...
Eduardo Alberto Avello, Felipe F. Baesler, Reinald...
: In this paper, the RCPSP (Resource Constrained Project Scheduling Problem) is solved using a linear programming model. Each activity may or may not be preemptive. Each variable i...
Abstract. Applying changes to software engineering processes in organisations usually raises many problems of varying nature. Basing on a real-world 2-year project and a simultaneo...
Human based algorithms to catch fly balls have been research and studied. In this paper, the validity of the human models are tested by catching balls that are dropped vertically...
Keshav Mundhra, Anthony Suluh, Thomas Sugar, Micha...