Results 41 to 50 of about 1,592,426 (314)
Generalization Error Bounds of Gradient Descent for Learning Over-parameterized Deep ReLU Networks
, 2019 Empirical studies show that gradient-based methods can learn deep neural networks (DNNs) with very good generalization performance in the over-parameterization regime, where DNNs can easily fit a random labeling of the training data.
Cao, Yuan, Gu, Quanquan
core +1 more source
Evolution at the Origins of Life?
LifeThe role of evolutionary theory at the origin of life is an extensively debated topic. The origin and early development of life is usually separated into a prebiotic phase and a protocellular phase, ultimately leading to the Last Universal Common ...
Ludo L. J. Schoenmakers +2 more
doaj +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Adolescent siblings of children with cancer are at elevated risk for psychosocial problems. Unfortunately, various barriers such as limited family time and resources, conflicting schedules, and psychosocial staffing constraints at cancer centers hinder sibling access to support.
Christina M. Amaro +10 more
wiley +1 more source
Object Detection in Tomato Greenhouses: A Study on Model Generalization
AgricultureHarvesting operations in agriculture are labour-intensive tasks. Automated solutions can help alleviate some of the pressure faced by rising costs and labour shortage. Yet, these solutions are often difficult and expensive to develop.
Sammar Haggag +3 more
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Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM
FEBS Letters, EarlyView.Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley +1 more source
Systematic human learning and generalization from a brief tutorial with explanatory feedback [PDF]
, 2021 Andy Nam, James L. McClelland
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Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Effects of Biases in Geometric and Physics-Based Imaging Attributes on Classification Performance
Journal of ImagingLearned systems in the domain of visual recognition and cognition impress in part because even though they are trained with datasets many orders of magnitude smaller than the full population of possible images, they exhibit sufficient generalization to ...
Bahman Rouhani, John K. Tsotsos
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Games, 2011 This paper presents a case of parsimony and generalization in model comparisons. We submitted two versions of the same cognitive model to the Market Entry Competition (MEC), which involved four-person and two-alternative (enter or stay out) games.
Tomás Lejarraga +2 more
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Weakly Supervised Learning of 3D Deep Network for Neuron Reconstruction
Frontiers in Neuroanatomy, 2020 Digital reconstruction or tracing of 3D tree-like neuronal structures from optical microscopy images is essential for understanding the functionality of neurons and reveal the connectivity of neuronal networks.
Qing Huang +19 more
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