Unsupervised learning methods often involve summarizing the data using a small number of parameters. In certain domains, only a small subset of the available data is relevant for ...
—In this paper, we combine graph coloring heuristics, namely largest degree and saturation degree with the concept of a heuristic modifier under the framework of squeaky wheel op...
Syariza Abdul Rahman, Andrzej Bargiela, Edmund K. ...
We present BonnPlace, a new VLSI placement algorithm that combines the advantages of analytical and partitioning-based placers. Based on (non-disjoint) placements minimizing the t...
GP uses trees to represent chromosomes. The user defines the representation space by defining the set of functions and terminals to label the nodes in the trees, and GP searches t...
Software effort estimation techniques abound, each with its own set of advantages and disadvantages, and no one proves to be the single best answer. Combining estimating is an app...