Results 81 to 90 of about 9,313 (254)

Ontology Driven Feature Engineering for Opinion Mining

open access: yesIEEE Access, 2019
In the process of knowledge discovery, the reliability of results depends upon the effectiveness of attributes selected for decision. The curse of dimensionality refers to the phenomenon in which the excessive number of dimensions affect the analysis. In
Shafaq Siddiqui   +3 more
doaj   +1 more source

A training strategy for hybrid models to break the curse of dimensionality. [PDF]

open access: yesPLoS One, 2022
E Samadi M   +4 more
europepmc   +1 more source

Curse of dimensionality in neural network optimization

open access: yesInformation and Inference: A Journal of the IMA
Abstract This paper demonstrates that when a shallow neural network with a Lipschitz continuous activation function is trained using either empirical or population risk to approximate a target function i.e. $r$ times continuously differentiable on $[0,1]^{d}$, the population risk may not decay at a rate faster than $t^{-\frac{4r}{d-2r}
Sanghoon Na, Haizhao Yang
openaire   +2 more sources

Platform Thinking as a Catalyst for Circular Innovation in Low‐ and Medium‐Tech Industries

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT Growing pressures to replace linear with circular models challenge organisations to innovate continuously and to absorb new knowledge. While platform thinking has been examined as an enabler of innovation in high‐tech industries, its relevance in low‐ and medium‐tech industries, like construction, remains underexplored.
Julia Köhler   +3 more
wiley   +1 more source

Scalable Deep Multi-Agent Reinforcement Learning via Observation Embedding and Parameter Noise

open access: yesIEEE Access, 2019
In this paper, we explore a scalable deep reinforcement learning (DRL) method for environments with multi-agents. Due to the explosive increase of the input dimensionality with the number of agents, most existing DRL methods are only able to cope with ...
Jian Zhang   +3 more
doaj   +1 more source

The Moral Manager in the Market: How CFOs' Ethical Intelligence Drives ESG Investment in Emerging Economies' Dual Markets

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT What propels a CFO in an emerging economy to champion ESG investments when formal regulations are weak? Moving beyond structural explanations, we provide a behavioural account arguing that a manager's internal ethical compass—moral intelligence (MI)—is a key driver.
AmirHossein ArminKia   +4 more
wiley   +1 more source

Supervised Clustering of Persian Handwritten Images [PDF]

open access: yesJournal of Sciences, Islamic Republic of Iran
Clustering, a fundamental multivariate statistical method, serves as a valuable tool for extracting meaningful insights from complex datasets. Analyzing high-dimensional data, however, presents challenges, notably the curse of dimensionality.
Sajedeh Moradnia, Mousa Golalizadeh
doaj   +1 more source

Identification of novel genes regulating the development of the palate

open access: yesDevelopmental Dynamics, EarlyView.
Abstract Background The International Mouse Phenotyping Consortium (IMPC) has generated thousands of knockout mouse lines, many of which exhibit embryonic or perinatal lethality. Using micro‐computed tomography (micro‐CT), the IMPC has created and publicly released three‐dimensional image data sets of embryos from these lethal and subviable lines.
Ashwin Bhaskar, Sophie Astrof
wiley   +1 more source

Experiencing Extreme Hunger in Anorexia Nervosa Recovery: A Qualitative Analysis of Reddit Narratives

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Recovery from anorexia nervosa involves psychological and social adjustments that extend beyond weight restoration. Online forums increasingly serve as spaces where recovery experiences are openly shared, including accounts of “extreme hunger” during refeeding—a phenomenon that has not been reported in the clinical literature.
Léonie Langanay   +6 more
wiley   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

open access: yesEnergy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti   +4 more
wiley   +1 more source

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