Sentence examples for different types of machine from inspiring English sources

Practical application examples to different types of machine tools are also presented.

Different types of machine learning algorithms, clustering and classifying algorithms, and evaluating their applicability to modern intrusion detection techniques are explained.

The different types of machine topology possible, their respective advantages and disadvantages and their Key performance characteristics compared to equivalent conventional machines are then outlined.

In this study, a robust technique is proposed to determine an accurate value of this parameter from well log data in un-cored well or at un-cored interval of the same well by combining different types of machine learning techniques.

Additional and different types of machine learning classifiers will have to be developed to address this point.

Many approaches have been applied to the NER problem in the biomedical domain, particularly in the area of gene/protein mentions [15], predominantly involving systems that exploit different types of machine learning techniques, such as Naive Bayes', Maximum Entropy, Support Vector Machines, and Conditional Random Fields [16], [17], [18], [19].

Ms. Sinek recently addressed the League of Women Voters of New Castle to talk about the conversion to electronic voting, the pros and cons of different types of machines and the political morass surrounding the issue.

As soon as Wentz receives the call from the commanding US general in Iraq, Ray Odierno, a massive network of trucks, planes and ships will start to evacuate around 45,000 troops and more than 1m tonnes of equipment, ranging from super-sized bulldozers to water coolers, as well as hundreds of different types of machines and weapons that were used to fight and run the war.

In 1974 Vinton Cerf, then at Stanford University in California, and this author, then at DARPA, collaborated on a paper that first described such a protocol and system architecture namely, the transmission control protocol (TCP), which enabled different types of machines on networks all over the world to route and assemble data packets.

Three different types of machine-learning algorithms will be used and compared in the paper to obtain 'scheduling knowledge': inductive learning, backpropagation neural networks, and case-based reasoning (CBR).

Different types of machines have been analyzed.