TDMR 2.0 now available on CRAN

Veröffentlicht: von & gespeichert unter General

The R package TDMR (Tuned Data Mining in R) is now available on CRAN in a major new release 2.0. It supports the new R  package SPOT 2.0 (Sequential Parameter Optimization Toolbox) with its largely redesigned and simplified interface. TDMR 2.0 has as well a simplified interface. TDMR documentation and TDMR tutorials have been rewritten... Mehr »

Free download of our ASOC Article until November, 02, 2017

Veröffentlicht: von & gespeichert unter Conference/Journal paper, General, MONREP, Optimization, Publications

If you are interested in our recent article Self-adjusting parameter control for surrogate-assisted constrained optimization under limited budgets  which appeared in the journal Applied Soft Computing (ASOC), please take the opportunity to follow this link: For a period until November, 02, 2017, this link will provide the free download of the final journal article.... Mehr »

TDMR 1.5 Available For Download Here

Veröffentlicht: von & gespeichert unter Data Mining, Research, SOMA

Due to a major release change in SPOT, the newest package version SPOT 2.0 on CRAN is currently not compatible with TDMR 1.5 (and TDMR 1.4). Therefore TDMR is currently archived on CRAN. We are working on an update. For the time being: You can download TDMR 1.5 (and 1.4) together with the last compatible... Mehr »

Young Author Award for Samineh Bagheri

Veröffentlicht: von & gespeichert unter General, MONREP, Optimization, Research

The 25th Workshop Computational Intelligence 2015, an annual conference held in Nov'2015 by the Computational Intelligence (CI) Chapter of VDI-GMA (Gesellschaft für Mess- und Automatisierungstechnik) in Dortmund, has attributed the Young Author Award to Samineh Bagheri, PhD, scientific member of the research group of Professor Konen at Campus Gummersbach. Congratulations!

New Technical Report on Temporal Difference Learning for Games

Veröffentlicht: von & gespeichert unter General, Publications, Reinforcement Learning, Research

A new technical report on temporal difference (TD) learning for games and "self-play" algorithms for game-agent training is available. This report by Wolfgang Konen features a gentle introduction to TD learning for game play and gives hints for the practioner on the implementation of such algorithms . It shows the references to the most recent... Mehr »