30 citations · 44 across the 5 of their papers we have counts for
5 papers
A Bayesian Approach for Accurate Classification-Based Aggregates
Q. A. Meertens, C. G. H. Diks, H. J. van den Herik +1
In this paper, we study the accuracy of values aggregated over classes predicted by a classification algorithm. The problem is that the resulting aggregates (e.g., sums of a variab…
A Data-Driven Supply-Side Approach for Measuring Cross-Border Internet Purchases
Q. A. Meertens, C. G. H. Diks, H. J. van den Herik +1
The digital economy is a highly relevant item on the European Union's policy agenda. Cross-border internet purchases are part of the digital economy, but their total value can curr…
Genetic Algorithms for Evolving Computer Chess Programs
Eli David, H. Jaap van den Herik, Moshe Koppel +1
This paper demonstrates the use of genetic algorithms for evolving: 1) a grandmaster-level evaluation function, and 2) a search mechanism for a chess program, the parameter values…
Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions
Eli David, H. Jaap van den Herik, Moshe Koppel +1
This paper demonstrates the use of genetic algorithms for evolving a grandmaster-level evaluation function for a chess program. This is achieved by combining supervised and unsuper…
Scaling Monte Carlo Tree Search on Intel Xeon Phi
S. Ali Mirsoleimani, Aske Plaat, Jaap van den Herik +1
Many algorithms have been parallelized successfully on the Intel Xeon Phi coprocessor, especially those with regular, balanced, and predictable data access patterns and instruction…