Results 11 to 20 of about 6,924,037 (250)
Are analysts' loss functions asymmetric? [PDF]
, 2012 Despite displaying a statistically significant optimism bias, analysts' earnings forecasts are an important input to investors’ valuation models. Understanding the possible reasons for any bias is important if information is to be extracted from earnings
Clatworthy, Mark +2 more
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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 ...
Mark A. Clatworthy +5 more
core +5 more sources
Loss functions, utility functions and Bayesian sample size determination. [PDF]
, 2011 PhDThis thesis consists of two parts. The purpose of the first part of the research is to obtain Bayesian sample size determination (SSD) using loss or utility function with a linear cost function. A number of researchers have studied the Bayesian SSD
Islam, A. F. M. Saiful
core +4 more sources
Are analysts’ loss functions asymmetric? [PDF]
, 2006 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 ...
Peel, D, Clatworthy, M A, Pope, P F
core +3 more sources
Intuitionistic Fuzzy c-Ordered Means Clustering Algorithm
IEEE Access, 2022 Atanassov intuitionistic fuzzy set (AIFS) has the capability to deal with various uncertain situations, so its popularity among researchers is quite high.
Meenakshi Kaushal, Q. M. Danish Lohani
doaj +1 more source
The brain-inspired decoder for natural visual image reconstruction
Frontiers in Neuroscience, 2023 The visual system provides a valuable model for studying the working mechanisms of sensory processing and high-level consciousness. A significant challenge in this field is the reconstruction of images from decoded neural activity, which could not only ...
Wenyi Li +11 more
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Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain
IEEE Access, 2021 Knowledge graphs (KGs) are widely used for modeling scholarly communication, performing scientometric analyses, and supporting a variety of intelligent services to explore the literature and predict research dynamics.
Mojtaba Nayyeri +9 more
doaj +1 more source
Empirical Loss Landscape Analysis of Neural Network Activation Functions [PDF]
, 2023 Activation functions play a significant role in neural network design by enabling non-linearity. The choice of activation function was previously shown to influence the properties of the resulting loss landscape.
Helbig, M +5 more
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A review of small object and movement detection based loss function and optimized technique
Journal of Intelligent Systems, 2023 The objective of this study is to supply an overview of research work based on video-based networks and tiny object identification. The identification of tiny items and video objects, as well as research on current technologies, are discussed first.
Chaturvedi Ravi Prakash, Ghose Udayan
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U-Net-Based Models towards Optimal MR Brain Image Segmentation
Diagnostics, 2023 Brain tumor segmentation from MRIs has always been a challenging task for radiologists, therefore, an automatic and generalized system to address this task is needed.
Rammah Yousef +6 more
doaj +1 more source