Results 101 to 110 of about 941,916 (317)
Hierarchical and configural control in conditional discrimination learning. [PDF]
J Exp Psychol Anim Learn Cogn, 2022 O'Donoghue EM, Castro L, Wasserman EA.
europepmc +1 more source
Is it ethical to avoid error analysis?
, 2017 Machine learning algorithms tend to create more accurate models with the availability of large datasets. In some cases, highly accurate models can hide the presence of bias in the data.
García-Martín, Eva, Lavesson, Niklas
core
Peptide Sequencing With Single Acid Resolution Using a Sub‐Nanometer Diameter Pore
Advanced Functional Materials, EarlyView.To sequence a single molecule of Aβ1−42–sodium dodecyl sulfate (SDS), the aggregate is forced through a sub‐nanopore 0.4 nm in diameter spanning a 4.0 nm thick membrane. The figure is a visual molecular dynamics (VMD) snapshot depicting the translocation of Aβ1−42–SDS through the pore; only the peptide, the SDS, the Na+ (yellow/green) and Cl− (cyan ...
Apurba Paul +8 more
wiley +1 more source
Diskriminasi Gender Dalam Pendidikan
Muwazah, 2018 This article is an analysis of gender discrimination discourse in education. Using qualitative methods, the literature study aims to produce substantive theoritical formations based on concept in gender discourse in education.
Wuri Handayani
doaj +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
Two‐Dimensional Materials as a Multiproperty Sensing Platform
Advanced Functional Materials, EarlyView.Various sensing modalities enabled and/or enhanced by two‐dimensional (2D) materials are reviewed. The domains considered for sensing include: 1) optoelectronics, 2) quantum defects, 3) scanning probe microscopy, 4) nanomechanics, and 5) bio‐ and chemosensing.
Dipankar Jana +11 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
Journal of Advanced Computational Intelligence and Intelligent Informatics, 2004 This paper presents MCE/GPD using GPD that is known as a highly effective discriminative learning method. MCE/GPD is an excellent recognition method that is applicable especially to speech recognition, since it excels in recognizing performance and can be used to deal with variable-length vectors.
openaire +1 more source
Discriminative Active Learning
, 2019 11 pages, 3 ...
Gissin, Daniel, Shalev-Shwartz, Shai
openaire +2 more sources
Which Learning Algorithms Can Generalize Identity-Based Rules to Novel Inputs? [PDF]
, 2016 We propose a novel framework for the analysis of learning algorithms that allows us to say when such algorithms can and cannot generalize certain patterns from training data to test data.
Shahriari, Bobak, Tupper, Paul
core +1 more source