Many factors affect the success of Machine Learning (ML) on a given task. The representation and quality of the instance data is first and foremost. If there is much irrelevant and redundant information present or noisy and unreliable data, then knowledge discovery during the training phase is more difficult. It is well known that data preparation and filtering steps take considerable amount of...

The red-black tree model for implementing balanced search trees, introduced by Guibas and Sedgewick thirty years ago, is now found throughout our computational infrastructure. Red-black trees are described in standard textbooks and are the underlying data structure for symbol-table implementations within C++, Java, Python, BSD Unix, and many other modern systems. However, many of these implemen...

We have created a radial basis function network that allocates a new computational unit whenever an unusual pattern is presented to the network. The network learns by allocating new units and adjusting the parameters of existing units. If the network performs poorly on a presented pattern, then a new unit is allocated which memorizes the response to the presented pattern. If the network perform...

Despite recent advances in high quality Head-Mounted Displays (HMDs), designing locomotion interfaces for Virtual Reality (VR) is still chal‐ lenging, and might contribute to unwanted side effects such as disorientation and motion sickness. To address these issues, we investigated the potentials of leaning-based 360° locomotion interfaces, which provide full-rotational motion cues (unlimited 36...