Results 31 to 40 of about 940,462 (236)
Using giant african pouched rats to detect human tuberculosis: a review
The Pan African Medical Journal, 2015 Despite its characteristically low sensitivity, sputum smear microscopy remains the standard for diagnosing tuberculosis (TB) in resource-poor countries. In an attempt to develop an alternative or adjunct to microscopy, researchers have recently examined
Alan Poling +6 more
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Generative-Discriminative Complementary Learning
Proceedings of the AAAI Conference on Artificial Intelligence, 2020 The majority of state-of-the-art deep learning methods are discriminative approaches, which model the conditional distribution of labels given inputs features. The success of such approaches heavily depends on high-quality labeled instances, which are not easy to obtain, especially as the number of candidate classes increases.
Xu, Yanwu +5 more
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Probably almost discriminative learning [PDF]
Machine Learning, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Learning Outcomes for Improving Science Entrepreneurship in Higher Education
SAGE Open, 2021 This study’s purpose was to investigate the relationships among learning through experience, learning for stress resistance, learning cognition, learning outcomes, the entrepreneurial mindset, and the discrimination of social information.
Kun-Dang Chen +2 more
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Ligand-based virtual screening using binary kernel discrimination [PDF]
, 2005 This paper discusses the use of a machine-learning technique called binary kernel discrimination (BKD) for virtual screening in drug- and pesticide-discovery programmes.
Beining Chen +14 more
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Dimensional approaches to experimental psychopathology of schizophrenia: shift learning and report of psychotic-like experiences in college students [PDF]
, 2005 Adopting a dimensional approach to experimental psychopathology, and taking into account inconsistencies in the previous literature, we examined whether reports of psychotic-like experiences in undergraduate students were associated with shift-learning ...
Abbruzzese +36 more
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AnimalsThe zebrafish model is rapidly advancing numerous areas of basic and translational research, including toxicology, drug discovery, molecular genetics, genomic research, developmental biology, and the study of human diseases (reviewed in [...]
Christian Agrillo +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Neuropsychological complications may impair the qualitative prognosis of patients with pediatric brain tumors. However, multifaceted evaluations cannot be conducted in all patients because they are time consuming and burdensome for patients.
Ami Tabata +9 more
wiley +1 more source
Symmetry and discrimination learning
Acta Psychologica, 1974 Abstract A hypothesis that the difficulties which subjects encounter whilst engaged in a traditional discrimination learning task may be seen as influenced by symmetry of individual stimuli as well as of arrangements of stimuli was examined. The data obtained as well as published data are interpreted as suggesting that the nature of symmetry of an ...
J B, Deregowski, D, Ellis
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Minimal model of associative learning for cross-situational lexicon acquisition [PDF]
, 2012 An explanation for the acquisition of word-object mappings is the associative learning in a cross-situational scenario. Here we present analytical results of the performance of a simple associative learning algorithm for acquiring a one-to-one mapping ...
Adolphs +30 more
core +2 more sources