One of the widely used classification algorithms is k-Nearest Neighbours (k-NN). Its
popularity is mainly due to its simplicity, effectiveness, ease of implementation and ability to …

Imbalanced classification is an important machine learning research topic that troubles most
general classification models because of the imbalanced class distribution. A newly …

Human performance is a key factor in a manufacturing system. Behavior modeling is a very
important but difficult problem when describing human activities. Performance modeling …

Background Collaboration between humans and computers has become pervasive and
ubiquitous, however current computer systems are limited in that they fail to address the …

Multi-instance (MI) learning is receiving growing attention in the machine learning research
field, in which learning examples are represented by a bag of instances instead of a single …

The k nearest neighbor (kNN) rule is one of the most used techniques in data mining and
pattern recognition due to its simplicity and low identification error. However, the …

In the k-NN algorithm, k is the only parameter and often set to a fixed value empirically.
However, it is very difficult to choose an appropriate k in practice, and if the choice is not …

With advances in the field of digitization, document analysis and handwriting recognition
have emerged as key research areas. Authors present a handwritten character recognition …

As an important part of dam seepage system, the quality of concrete cut-off wall is of great
importance. In order to obtain effective feedback on the quality of the wall with limited …

The purpose of this pilot study was to provide a new approach for capturing and analyzing
wheelchair maneuvering data, which are critical for evaluating wheelchair users' activity …