Results 1 to 10 of about 900,901 (164)
Obstructing Classification via Projection
Computing in Geometry and Topology, 2022 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.
Pantea Haghighatkhah +4 more
doaj +7 more sources
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
doaj +3 more sources
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
doaj +6 more sources
Likelihood-free inference via classification. [PDF]
Stat Comput, 2018 Increasingly complex generative models are being used across disciplines as they allow for realistic characterization of data, but a common difficulty with them is the prohibitively large computational cost to evaluate the likelihood function and thus to perform likelihood-based statistical inference.
Gutmann MU +3 more
europepmc +9 more sources
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
doaj +3 more sources
Materials Prediction via Classification Learning. [PDF]
Sci Rep, 2015 AbstractIn the paradigm of materials informatics for accelerated materials discovery, the choice of feature set (i.e. attributes that capture aspects of structure, chemistry and/or bonding) is critical. Ideally, the feature sets should provide a simple physical basis for extracting major structural and chemical trends and furthermore, enable rapid ...
Balachandran PV +3 more
europepmc +4 more sources
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
openaire +2 more sources
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
doaj +1 more source