Results 101 to 110 of about 1,232 (217)

Enhancing Generalisation via Cascaded Inertia SGD With Learnt Hyperparameters

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT A central challenge in deep learning lies in achieving strong model generalisation, an area in which conventional optimisers such as stochastic gradient descent (SGD) often exhibit limitations, even though they ensure convergence. This paper introduces cascaded inertia SGD (CISGD), a novel optimisation algorithm specifically designed to ...
Yongji Guan   +3 more
wiley   +1 more source

Double‐Integration‐Enhanced Stochastic Gradient Descent Based on Neural Dynamics for Improving Generalisation

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Generalisation is a crucial aspect of deep learning, enabling models to perform well on unseen data. Currently, most optimisers that improve generalisation typically suffer from efficiency bottlenecks. This paper proposes a double‐integration‐enhanced stochastic gradient descent (DIESGD) optimiser, which treats the negative gradient as an ...
Ting Li   +3 more
wiley   +1 more source

Convergent Interval Confirmation for Three‐Step Discrete Specific Zeroing Neural Dynamics Illustrated With Repetitive Motion Planning of Redundant Manipulators

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via zeroing neurodynamics.
Ying Kong   +3 more
wiley   +1 more source

The Consequences of Soil Organic Carbon for Crop Yield, Farm Productivity and Profit

open access: yesAustralian Journal of Agricultural and Resource Economics, EarlyView.
ABSTRACT Crop choices affect soil organic carbon (SOC) stocks, allowing farmers to manipulate the amount of carbon sequestered in the soil over time. This paper examines the private and public benefits of crop rotations that sequester additional carbon across the province of Saskatchewan, Canada using a novel field‐level dataset from the Saskatchewan ...
Devin Allen Serfas
wiley   +1 more source

Objectively Measured Maternal Supine Sleep and Fetal Growth: A Prospective Cohort Study

open access: yesBJOG: An International Journal of Obstetrics &Gynaecology, EarlyView.
ABSTRACT Objective To explore the relationship between different definitions of objectively measured supine sleep position during late pregnancy and customised birthweight centile, as a marker of fetal wellbeing. Design Prospective cohort study. Setting Australian public hospital antenatal clinic.
Danielle L. Wilson   +5 more
wiley   +1 more source

Corporate Tax System Complexity and Investment Sensitivity to Tax Policy Changes

open access: yesJournal of Accounting Research, EarlyView.
ABSTRACT Effective policymakers must balance the demands of formulating a corporate tax system that raises revenue and spurs economic activity (e.g., investment) while promoting a “level playing field” across firms. Balancing these tradeoffs has likely caused tax systems to become more complex over time, increasing firms’ difficulty in understanding ...
HARALD AMBERGER   +2 more
wiley   +1 more source

Preemptive Entry and Technology Diffusion: The Market for Drive‐In Theaters

open access: yesThe RAND Journal of Economics, EarlyView.
ABSTRACT This article studies entry preemption in new industries. We first test a key prediction of dynamic entry games: Entry preemption is most relevant in intermediate‐sized markets, where firms face highest uncertainty about future entry. Using US drive‐in theater market (1945–1957) data, we find robust evidence for this non‐monotonic relationship ...
Ricard Gil   +3 more
wiley   +1 more source

Vector analog computing via on-demand metasurface dispersive polarization transformation. [PDF]

open access: yesSci Adv
Yang H   +10 more
europepmc   +1 more source

Ecological examples of nonstationarity, nonlinearity and statistical interactions in dynamic structural equation models

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract Ecologists are adapting structural causal modelling for spatial, phylogenetic and time‐series analysis. However, ecological extensions of path analysis and structural equation models (SEM) typically assume that interactions among variables are stationary, linear and additive, while ecological and evolutionary dynamics are often nonstationary ...
James T. Thorson, Kasper Kristensen
wiley   +1 more source

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