Results 11 to 20 of about 946,904 (313)
Likelihood-free inference via classification [PDF]
Statistics and Computing, 2017 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.
Michael U. Gutmann +3 more
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Materials Prediction via Classification Learning [PDF]
Scientific Reports, 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 ...
Prasanna V. Balachandran +3 more
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Co-occurrence Patterns of Character Strengths and Measured Core Virtues in German-Speaking Adults
Frontiers in Psychology, 2020 The VIA Classification on character strengths and virtues suggests 24 character strengths clustered into six core virtues (wisdom and knowledge, courage, humanity, justice, temperance, and transcendence).
Willibald Ruch +3 more
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The Decoding of the Human Spirit: A Synergy of Spirituality and Character Strengths Toward Wholeness
Frontiers in Psychology, 2020 Little attention has been given to the integral relationship between character strengths and spirituality (the search for or communing with the sacred to derive meaning and purpose).
Ryan M. Niemiec +2 more
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Robust Adversarial Classification via Abstaining [PDF]
2021 60th IEEE Conference on Decision and Control (CDC), 2021 In this work, we consider a binary classification problem and cast it into a binary hypothesis testing framework, where the observations can be perturbed by an adversary. To improve the adversarial robustness of a classifier, we include an abstain option, where the classifier abstains from making a decision when it has low confidence about the ...
Abed AlRahman Al Makdah +2 more
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Robust Classification via Support Vector Machines
Risks, 2022 Classification models are very sensitive to data uncertainty, and finding robust classifiers that are less sensitive to data uncertainty has raised great interest in the machine learning literature.
Alexandru V. Asimit +4 more
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Classification Event Sequences via Compact Big Sequence [PDF]
Kafrelsheikh Journal of Information Sciences, 2022 The sequence classification is considered as one of the important data mining tasks. It has a broad range of real-world applications such as bioinformatics, medicine, finance, and abnormal detection.
Mosab Hassaan
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Does the Excellent Enactment of Highest Strengths Reveal Virtues?
Frontiers in Psychology, 2020 Two studies examined the assumption that character strengths enable virtues and facilitate the good life. Study 1 validated a “layperson’s excellent enactment of highest strengths paradigm”.
Fiorina Giuliani +2 more
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Robust diagnostic classification via Q-learning
Scientific Reports, 2021 Machine learning (ML) models have demonstrated the power of utilizing clinical instruments to provide tools for domain experts in gaining additional insights toward complex clinical diagnoses. In this context these tools desire two additional properties:
Victor Ardulov +7 more
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Few-Shot Fine-Grained Image Classification via GNN
Sensors, 2022 Traditional deep learning methods such as convolutional neural networks (CNN) have a high requirement for the number of labeled samples. In some cases, the cost of obtaining labeled samples is too high to obtain enough samples. To solve this problem, few-
Xiangyu Zhou, Yuhui Zhang, Qianru Wei
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