Results 111 to 120 of about 1,249,172 (345)
Achieving non-discrimination in data release [PDF]
arXiv, 2016 Discrimination discovery and prevention/removal are increasingly important tasks in data mining. Discrimination discovery aims to unveil discriminatory practices on the protected attribute (e.g., gender) by analyzing the dataset of historical decision records, and discrimination prevention aims to remove discrimination by modifying the biased data ...
arxiv
Negative Stereotypes and Willingness to Change Them: Testing Theories of Discrimination in South Africa [PDF]
This paper proposes a new test to distinguish between the two leading theories of discrimination: preference versus information. Discrimination based on preferences occurs when people behave as if they refuse to change their stereotypes about the ...
Jorge Aguero
core
Explicit learning in ACT-R [PDF]
, 1999 A popular distinction in the learning literature is the distinction between implicit and explicit learning. Although many studies elaborate on the nature of implicit learning, little attention is left for explicit learning.
Taatgen, Niels A.
core
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Advanced Materials, EarlyView.Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi +4 more
wiley +1 more source
Muscarinic antagonists impair multiple aspects of operant discrimination learning and performance. [PDF]
Neurosci Lett, 2023 Yousuf H +3 more
europepmc +1 more source
Discriminative Similarity for Clustering and Semi-Supervised Learning [PDF]
arXiv, 2017 Similarity-based clustering and semi-supervised learning methods separate the data into clusters or classes according to the pairwise similarity between the data, and the pairwise similarity is crucial for their performance. In this paper, we propose a novel discriminative similarity learning framework which learns discriminative similarity for either ...
arxiv
Use of Machine Learning for Partial Discharge Discrimination
, 2009 Partial discharge (PD) measurements are an important tool for assessing the condition of power equipment. Different sources of PD have different effects on the insulation performance of power apparatus.
Hao, L, Lewin, P L, Swingler, S G
core
AN EXAMINATION OF CONCURRENT DISCRIMINATION LEARNING WITHIN INDIVIDUALS WITH PARKINSON’S DISEASE [PDF]
, 2013 The main focus of this research is to further understand memory formation by examining the role of the basal ganglia in learning. Broadly, this study examines how the basal ganglia may play a role in a task that has been associated with declarative ...
Tuladhar, Darshana
core +1 more source
Advanced Materials, EarlyView.Colonoscopic continuum robots lack sensing, endangering intestinal tissue. An ideal sensing array is hard to integrate. This work introduces a 3D crosslinked stretchable E‐armor with full‐coverage and multiplexing. It has bimodal sensing, forms a triboelectric synapse, uses CNN‐LSTM, and has a hydrogel and innovative triboelectric materials.
Yuyang Sun +8 more
wiley +1 more source
Selective enhancement of neural coding in V1 underlies fine-discrimination learning in tree shrew. [PDF]
Curr Biol, 2022 Schumacher JW +3 more
europepmc +1 more source