Results 221 to 230 of about 2,787,379 (259)
Some of the next articles are maybe not open access.
Functional Visual Loss in Children
Ophthalmology, 1986Twenty-three children (16 girls, 7 boys, aged 6-17 years) who presented with the specific complaint of blurred vision were diagnosed as having functional visual loss. Symptoms were intermittent in seven children. Associated signs and symptoms were common and included headaches, visual field loss, diplopia, micropsia, voluntary nystagmus, and spasm of ...
R A, Catalono +3 more
openaire +2 more sources
A Performance Comparison of Loss Functions
2019 International Conference on Information and Communication Technology Convergence (ICTC), 2019Generally, the deep neural network learns by way of a loss function, which is an approach to evaluate how well given dataset is predicted on a particular network architecture (or network model). If the prediction deviates too far from real data, a loss function would generate a very large value.
Kwantae Cho +3 more
openaire +1 more source
On the Choice of the Variable of Loss Function
Statistics & Risk Modeling, 1999Summary: We consider the problem concerning the choice of loss function based on asymptotically optimal criteria. In particular, we propose a choice of the variable of loss function such that any decision procedure satisfies two desirable properties, namely the conservation of asymptotic optimality under parametrization and the existence of ...
openaire +2 more sources
The evergreen erlang loss function
OPSEARCH, 2006zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Functional Weakness and Sensory Loss
Seminars in Neurology, 2006Functional weakness and sensory loss are common clinical problems with variable presentations. Functional weakness commonly presents as weakness of an entire limb, paraparesis, or hemiparesis, with observable or demonstrable inconsistencies and nonanatomic accompaniments.
openaire +2 more sources
Are analysts' loss functions asymmetric? [PDF]
, 2005 Recent research by Gu and Wu (2003) and Basu and Markov (2004) suggests that the well-known optimism bias in analysts’ earnings forecasts is attributable to analysts minimizing symmetric, linear loss functions when the distribution of forecast errors is skewed. An alternative explanation for forecast bias is that analysts have asymmetric loss functions.
Clatworthy, M A, Peel, D, Pope, P F
openaire +1 more source
A novel loss function of deep learning in wind speed forecasting
Energy, 2022Qingli Li, Sajid Ullah
exaly
Less Is More, Natural Loss-of-Function Mutation Is a Strategy for Adaptation
Plant Communications, 2020Yong-Chao Xu, Ya-Long Guo
exaly