9,053 research outputs found
A review and evaluation of elastic distance functions for time series clustering
No full textTime series clustering is the act of grouping time series data without recourse to a label. Algorithms that cluster time series can be classified into two groups: those that employ a time series specific distance measure and those that derive features from time series. Both approaches usually rely on traditional clustering algorithms such as k-means. Our focus is on partitional clustering algorithms that employ elastic distance measures, i.e. distances that perform some kind of realignment whilst measuring distance. We describe nine commonly used elastic distance measures and compare their performance with k-means and k-medoids clusterer. Our findings, based on experiments using the UCR time series archive, are surprising. We find that, generally, clustering with DTW distance is not better than using Euclidean distance and that distance measures that employ editing in conjunction with warping are significantly better than other approaches. We further observe that using k-medoids clusterer rather than k-means improves the clusterings for all nine elastic distance measures. One function, the move–split–merge (MSM) distance, is the best performing algorithm of this study, with time warp edit (TWE) distance a close second. Our conclusion is that MSM or TWE with k-medoids clusterer should be considered as a good alternative to DTW for clustering time series with elastic distance measures. We provide implementations, extensive results and guidance on reproducing results on the associated GitHub repository.</p
Matthew Henry: The Bible, Prayer, and Piety – A Tercentenary Celebration
No full textThe summer of 2014 marked the tercentenary of the death of Matthew Henry (1662–1714), a leading figure among early eighteenth-century Dissenters and author of the six-volume Exposition of the Old and New Testaments (1707–1714/25). This monumental work, which by 1855 had already been published in twenty-five different editions, attempted a peculiarly practical approach to the biblical text and continues to be widely used and readily accessible even today in both print and online versions. The theme of foreign (or ‘strange’) wives and Israelite intermarriage is one which occurs throughout the Hebrew Bible and, accordingly, throughout Matthew Henry’s commentary upon it. Where it appears, the practice of intermarriage is characterized by Henry as (at best) unwise and (at worst) a very real threat to both social and religious cohesion. This essay explores how Henry deals with the issue of ‘strange wives’, why he believes they continue to pose a threat, and (in view of the overall intention of his commentary) what ‘practical observations’ he offers to his reader as a result. In doing so it is argued that Henry’s commentary traces a thematic thread from the ante-diluvian age to the post-exilic period of calamities resulting from mixed marriages between ‘professors of religion’ and their ‘strange wives’
Citation expectations: are they realized? Study of the Matthew index for Russian papers published abroad
Get PDFWe consider the "Matthew effect" in the citation process which leads to reallocation (or misallocation) of the citations received by scientific papers within the same journals. The case when such reallocation correlates with a country where an author works is investigated. Russian papers in chemistry and physics published abroad were examined. We found that in both disciplines in about 60% of journals Russian papers are cited less than average ones. However, if we consider each discipline as a whole, citedness of a Russian paper in physics will be on the average level, while chemistry publications receive about 16% citations less than one may expect from the citedness of the journals where they appear. Moreover, Russian chemistry papers mostly become undercited in the leading journals of the field. Characteristics of a "Matthew index" indicator and its significance for scientometric studies are also discussed
An Interview with Matthew Kaiser on Competition and Play
No full textAn Interview with Matthew Kaiser on Competition and Play, by Sean Scanlan. Matthew Kaiser, the author of The World in Play: Portraits of a Victorian Concept (Stanford UP, 2012) says that “[c]ompetition is the disease from which modern life suffers,” and that “[c]ompetition is the only cure” for this suffering. This contradictory pairing seems to get at the heart of his thesis: play, as a totalizing, umbrella-like concept, emanates from a host of philosophical, political, and scientific work produced by Victorians who posed many of their ideas of play in sports metaphors, competitive logics, and narratives of struggle. Kaiser goes beyond the dichotomy of competition and play/competition or play, by stating “I’m interested in the totalizing potential of both concepts, the way that play, or competition for that matter, swallows the world whole, becomes in the minds of so many people, the organizing principle of reality, whether of culture or nature or consciousness, or of all three.
Cardozo AELJ Author Interview Series: Matthew Goldman, Class of 2022
No full textThe Cardozo AELJ Author Interview Series seeks to give our readers further insight into the Articles and Notes published in the Cardozo Arts & Entertainment Law Journal. In this interview, Matthew Goldman discusses his Note, Fragmented Music Copyright Protection: A Better Arrangement, which was published in Volume 40, Issue 3.
This post was originally published on the Cardozo Arts & Entertainment Law Journal website on November 7, 2023. The original post can be accessed via the Archived Link button above
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Cardozo AELJ Author Interview Series: Matthew Goldman, Class of 2022
No full textThe Cardozo AELJ Author Interview Series seeks to give our readers further insight into the Articles and Notes published in the Cardozo Arts & Entertainment Law Journal. In this interview, Matthew Goldman discusses his Note, Fragmented Music Copyright Protection: A Better Arrangement, which was published in Volume 40, Issue 3.
This post was originally published on the Cardozo Arts & Entertainment Law Journal website on November 7, 2023. The original post can be accessed via the Archived Link button above
Cardozo AELJ Author Interview Series: Matthew Goldman, Class of 2022
Get PDFThe Cardozo AELJ Author Interview Series seeks to give our readers further insight into the Articles and Notes published in the Cardozo Arts & Entertainment Law Journal. In this interview, Matthew Goldman discusses his Note, Fragmented Music Copyright Protection: A Better Arrangement, which was published in Volume 40, Issue 3.
This post was originally published on the Cardozo Arts & Entertainment Law Journal website on November 7, 2023. The original post can be accessed via the Archived Link button above
Matthew and Mark
No full textThe author of the Gospel of Matthew was arguably the very first Christian seeking to rejudaize Jesus of Nazareth. Throughout two millennia, and undeniably most intensively during the last half-century, many students of the Bible have followed in his footsteps. Although he was successful in many respects, we must not forget who paid the price for his endeavour: the Pharisees, the proto-Rabbis and the Founding Fathers of those we know as the Jewish people, those whom Jesus knew as his own
Artful living and the eradication of worry in Søren Kierkegaard's interpretation of Matthew 6:24-34
No full textDanish thinker Søren Kierkegaard published fourteen discourses, across four collections, on Matthew 6:24-34. The repeated readings of the biblical text, whose themes include the choice between God and mammon, worry, what it means to consider the birds and lilies, and how to seek first the kingdom of God, converge with Kierkegaard’s interest in anxiety, despair, worry, subjectivity, indirect communication, choice, the moment, and life before God. Accordingly, the discourses make connections with his larger works, elucidate frequently explored Kierkegaardian themes in recent scholarship, and contribute to his critique of nineteenth-century Copenhagen. Additionally, the collections present an interpretation of each verse and phrase of Matthew’s text and, held up against modern Matthew scholarship, they correlate with and contribute to Sermon on the Mount and New Testament studies. Kierkegaard’s reading of Matthew also holds implications for the practice of biblical interpretation as it promotes the importance of awareness of sin, interestedness, and appropriation as central to proper reading. His emphasis on Christ as the primary exemplar of Matthew’s text adds an additional Christological element to his hermeneutic. Furthermore, the discourses serve as spiritual treatises which provide the reader with theological terminology to help confront the problem of worry and suffering. In light of a human being’s distinctiveness as imago Dei, Kierkegaard elucidates ways an individual may respond artfully to the ongoing possibility of worry, a possibility which the discourses connect with Christian anthropology and external labels associated with possessions and status. The Matthew 6 discourses intimate Kierkegaard’s sympathy with classic Christian spirituality and, in combination with the cultural-ecclesiastical critique, the creative exegesis, and the in-depth analysis of the cause of and cure for worry, his work emerges as an excellent example of spiritual theology
The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances
No full textTime Series Classification (TSC) involves building predictive models for a discrete target variable from ordered, real valued, attributes. Over recent years, a new set of TSC algorithms have been developed which have made significant improvement over the previous state of the art. The main focus has been on univariate TSC, i.e. the problem where each case has a single series and a class label. In reality, it is more common to encounter multivariate TSC (MTSC) problems where the time series for a single case has multiple dimensions. Despite this, much less consideration has been given to MTSC than the univariate case. The UCR archive has provided a valuable resource for univariate TSC, and the lack of a standard set of test problems may explain why there has been less focus on MTSC. The UEA archive of 30 MTSC problems released in 2018 has made comparison of algorithms easier. We review recently proposed bespoke MTSC algorithms based on deep learning, shapelets and bag of words approaches. If an algorithm cannot naturally handle multivariate data, the simplest approach to adapt a univariate classifier to MTSC is to ensemble it over the multivariate dimensions. We compare the bespoke algorithms to these dimension independent approaches on the 26 of the 30 MTSC archive problems where the data are all of equal length. We demonstrate that four classifiers are significantly more accurate than the benchmark dynamic time warping algorithm and that one of these recently proposed classifiers, ROCKET, achieves significant improvement on the archive datasets in at least an order of magnitude less time than the other three
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