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Download: Download full-size image Fig. 3. Eye looking in v direction: vector n in the Listing plane is axis of rotation of eye by angle θ. We will also freely use reference to eye movement, in particular, we use the term line of sight to mean the modified position of the point (...
A pumping lemma for a class of languages $$\varvec{\mathcal {C}}$$ is often used to show particular languages are not in $$\varvec{\mathcal {C}}$$ . In con
Theoretical analysis has played a major role in some of the most prominent practical successes of statistical machine learning. However, mainstream machine learning theory assumes some strong simplifying assumptions which are often unrealistic. In the past decade, the practice of machine learning has led...
Big Data (BD) and Artificial Intelligence (AI) play a fundamental role in today’s economy that traditional economic models fail to capture. This paper presents a theoretical conceptualisation of the data economy and derives implications for digital gove
Nature Machine Intelligence1,36–43 (2019)Cite this article 13kAccesses 142Altmetric Metrics Abstract The last decades have seen a surge of robots working in contact with humans. However, until now these contact robots have made little use of the opportunities offered by physical interaction and ...
Download chapterPDF Back to top Reviews "This short book, which is a translation from the Russian, provides a concise, non-mathematical review of the less controversial results in catastrophe theory. The author begins by describing the established results in the theory of singularities and bifurcatio...
The yearly Advent of Code is always a source of interesting coding challenges. You can often solve them the easy way, or spend days trying to solve them “the right way.” I personally prefer the latter. This year I decided to do some yak shaving with apuzzlethat involved looking for pa...
Church-Turing Thesis, mechanistic project, and Gödelian Arguments offer different perspectives of informal intuitions behind the relationship existing between the notion of intuitively provable and the definition of decidability by some Turing machine
The relative entropy or Kullback–Leibler divergence is a quantity that has been developed within the context of information theory for measuring similarity between two PDFs. It is widely used in machine learning optimization tasks when PDFs are involved; see Chapter 12. Given two PDFs, p and ...