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Classification via an Embedded Approach [PDF]
Designs, 2017 This paper presents the results of an automated volatile organic compound (VOC) classification process implemented by embedding a machine learning algorithm into an Arduino Uno board.
José de Jesús Rubio +5 more
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OBJECT CLASSIFICATION VIA PLANAR ABSTRACTION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 We present a supervised machine learning approach for classification of objects from sampled point data. The main idea consists in first abstracting the input object into planar parts at several scales, then discriminate between the different classes of ...
S. Oesau, F. Lafarge, P. Alliez
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Entanglement classification via operator size
SciPost Physics Core, 2023 In this work, multipartite entanglement is classified by polynomials. I show that the operator size is closely related to the entanglement structure. Given a generic quantum state, I define a series of subspaces generated by operators of different sizes ...
Qi-Feng Wu
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Pattern classification via unsupervised learners [PDF]
We consider classification problems in a variant of the Probably Approximately Correct (PAC)-learning framework, in which an unsupervised learner creates a discriminant function over each class and observations are labeled by the learner returning the ...
Palmer, Nicholas James
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Trading via selective classification [PDF]
Proceedings of the Second ACM International Conference on AI in Finance, 2021 (8 pages, 6 figures, 4 tables, ICAIF'21)
Nestoras Chalkidis, Rahul Savani
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Trading via image classification [PDF]
Proceedings of the First ACM International Conference on AI in Finance, 2020 The art of systematic financial trading evolved with an array of approaches, ranging from simple strategies to complex algorithms all relying, primary, on aspects of time-series analysis. Recently, after visiting the trading floor of a leading financial institution, we noticed that traders always execute their trade orders while observing images of ...
Naftali Cohen +2 more
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Frontiers in Psychology, 2021 What does it mean to be “strengths-based” or to be a “strengths-based practitioner?” These are diffuse areas that are generic and ill-defined. Part of the confusion arises from the customary default of practitioners and leaders across many cultures to ...
Ryan M. Niemiec, Ruth Pearce
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Semi-supervised Multi-view Classification via Consistency Constraints [PDF]
Jisuanji kexue yu tansuo, 2022 Since the traditional semi-supervised multi-view algorithms seldom take into account the diversity of information contained in different views and neglect the consistency of spatial structure between different views, they hardly achieve promising ...
LIU Yu, MENG Min, WU Jigang
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Obstructing Classification via Projection
CoRR, 2021 Machine learning and data mining techniques are effective tools to classify large amounts of data. But they tend to preserve any inherent bias in the data, for example, with regards to gender or race. Removing such bias from data or the learned representations is quite challenging.
Pantea Haghighatkhah +4 more
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Religions, 2021 A beatitude is a blessing. It is a form of appreciation that can be directed toward others or oneself. Theologically speaking, some frame the original beatitudes from The Sermon on the Mount in the Gospel of Matthew as pertaining to “spiritual happiness”,
Ryan M. Niemiec
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