It has been well established in Cognitive Psychology that humans are able to strategically adapt performance, even highly skilled performance, to meet explicit task goals such as ...
Katherine Eng, Richard L. Lewis, Irene Tollinger, ...
Abstract. Machine learning can be utilized to build models that predict the runtime of search algorithms for hard combinatorial problems. Such empirical hardness models have previo...
Frank Hutter, Youssef Hamadi, Holger H. Hoos, Kevi...
–Application of hardware-parameterized models to distributed systems can result in omission of key bottlenecks such as the full cost of inter- and intra-node communication in a c...
Most network engineering tools are unsatisfactory. Measurements are not predictive, simulations do not scale, and analysis is limited to oversimplified models. To be more useful, ...
Abstract. The hydrophobic-polar (HP) model for protein structure preabstracts the fact that hydrophobic interactions are a dominant force in the protein folding process. This model...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...