In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The study of genres as bodies of musical items aggregated according to subjective and local criteria requires corresponding inductive models of such a notion. This process can be thus modeled as an example-driven learning task...

In experimental research into percussion ‘languages’, an interactive computer system, the Bol Processor, has been developed by the authors to analyse the performances of expert musicians and generate its own musical items that were assessed for quality and accuracy by the informants. The problem of transferring knowledge from a human expert to a machine in this context is the focus of this pape...

Stock markets play a fundamental role in the countries’ economies, since they allow companies to raise funds for their investments in technology, expansion or infra-structure by selling stocks to the public. At the same time, stocks are, for the stockholders, important assets that can help to maintain or increase the investor’s wealth for future use, like retirement, education, etc. On the othe...

Recent improvements in deep reinforcement learning have allowed to solve problems in many 2D domains such as Atari games. However, in complex 3D environments, numerous learning episodes are required which may be too time consuming or even impossible especially in real-world scenarios. We present a new architecture to combine external knowledge and deep reinforcement learning using only visual i...

An application of relational instance-based learning to the complex task of expressive music performance is presented. We investigate to what extent a machine can automatically build ‘expressive profiles’ of famous pianists using only minimal performance information extracted from audio CD recordings by pianists and the printed score of the played music. It turns out that the machine-generated ...

We propose an expressive performance model for celtic fiddle based on the analysis of audio and bowing gestures of real performances. Existing expressivity models deal with perceptual features such as timing deviations or dynamics, but in some cases perceptual features are not enough. We propose a model not only informed with perceptual features but also with bowing gestures which are acquired ...

performance and development are based on hard work, experience and learning. learning how to change different behaviors is crucial to successful talent management plans. within the brain there are complex connected circuits that can identify threats. the brain reacts to change as a threat. there is also a collection of brain structures tied to a natural reward system that are involved in the re...