Also for k-means: more data does not imply better performance

Arguably, a desirable feature of a learner is that its performance gets better with an increasing amount of training data, at least in expectation. This issue has received renewed attention in recent years and some curious and surprising findings have been reported on. In essence, these results show that more data does actually not...

Investigating the rheological properties and compatibility behaviours of RET/PE and WR/CR/ SBS compound-modified bitumen

Two types of elastomer/plastic compound-modified bitumen were developed by means of incorporating the reactive elastomeric terpolymer (RET) into the plastic (high-density polyethylene HDPE or recycled polyethylene RPE) modified bitumen and adding the wax residue (WR) into the bitumen/elastomer (crumb rubber CR or styrene–butadiene–styrene SBS)...

Improvement of Source Code Conversion for Code Completion

Code Completion is advancing constantly, with new research coming out all the time. One such advancement is CodeFill, which converts source files into token sequences for type prediction. To train the CodeFill model, a lot of source files are needed which take a long time to convert before training can begin. Converting the file the end-user is...

Gas Turbines Power Regulation Subject to Actuator Constraints, Disturbances and Measurement Noises

An accurate understanding of the output power functionality in gas turbines concerning the fuel, inlet valve status and other parameters can provide a general overview of the turbine's performance. In this study, the problem of practical power regulation in gas turbines is investigated in the simultaneous presence of actuator constraints,...

Data-Driven Techniques for Printer Prognosis and Performance Improvement: Design and Critical Comparison

It is of key importance for modern printing systems to maintain high standards of efficiency, reliability and print quality. In this regard, the scope of this work is to investigate the applicability of data analysis and machine learning techniques to improve the performances of industrial printers manufactured at Océ Technologies. Two critical...

Increasing the effectiveness of information distribution in data-driven organizations: Going back to the source: looking for improvement potential in the existing information related structuring at HEINEKEN Brewery Zoeterwoude

In today’s information driven-economy, the key for manufacturing organizations like HEINEKEN Brewery Zoeterwoude to become and remain competitive lies in their capacity to acquire sound, relevant and timely information, as well as in ability to learn from the acquired information. The latter is believed to be linked to the extent in which the...

Retail Performance Scan+: An innovative service for improving the commercial performances in retail