Results 81 to 90 of about 10,137 (199)

Loss Behavior in Supervised Learning With Entangled States

open access: yesAdvanced Quantum Technologies, EarlyView.
Entanglement in training samples supports quantum supervised learning algorithm in obtaining solutions of low generalization error. Using analytical as well as numerical methods, this work shows that the positive effect of entanglement on model after training has negative consequences for the trainability of the model itself, while showing the ...
Alexander Mandl   +4 more
wiley   +1 more source

Terrain Classification for Planetary Rovers Using Wireless In‐Wheel Sensor Modules and Machine Learning

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Safe and reliable mobility over different kinds of ground is important for planetary rovers on space missions. Since terrain changes might affect the mobility of the rover, energy consumption, and safety, detecting the type of ground in real‐time is vital.
Md Masrul Khan   +7 more
wiley   +1 more source

Dynamic Adaptive Label Assignment for Tiny Object Detection in Remote Sensing Images

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT With the development of unmanned aerial vehicle and satellite technology, the application of tiny object detection in remote sensing images is becoming increasingly widespread. Although significant progress has been made in the accuracy and speed of object detection in recent years, performance declines sharply when general object detectors ...
Shuohao Shi, Qiang Fang, Xin Xu
wiley   +1 more source

TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Efficient exploration is critical in handling sparse rewards and partial observability in deep reinforcement learning. However, most existing intrinsic reward methods based on novelty rely on single‐step observations or Euclidean distances.
Jingxiang Ma, Hongbin Ma, Youzhi Zhang
wiley   +1 more source

Audit Quality From a Service Perspective: A Systematic Literature Review

open access: yesAccounting Perspectives, EarlyView.
ABSTRACT Audit quality is a multidimensional and latent construct that researchers struggle to evaluate and interpret. This paper follows an interdisciplinary approach by systematically reviewing the literature on audit quality evaluation from a service quality perspective.
Lise Muriel Botha   +3 more
wiley   +1 more source

Measuring gene–gene interaction using Kullback–Leibler divergence

open access: yesAnnals of Human Genetics, 2019
AbstractGenome‐wide association studies (GWAS) are used to investigate genetic variants contributing to complex traits. Despite discovering many loci, a large proportion of “missing” heritability remains unexplained. Gene–gene interactions may help explain some of this gap.
Guanjie Chen   +8 more
openaire   +3 more sources

Applying the maximum entropy principle to neural networks enhances multi‐species distribution models

open access: yesMethods in Ecology and Evolution, EarlyView.
Abstract The increasing volume of presence‐only (PO) data generated by citizen science initiatives has greatly expanded biodiversity databases, but the statistical use of these data in species distribution models (SDMs) remains limited by strong sampling biases and the absence of reliable absence information.
Maxime Ryckewaert   +5 more
wiley   +1 more source

Assessing novelty, feasibility and value of creative ideas with an unsupervised approach using GPT‐4

open access: yesBritish Journal of Psychology, EarlyView.
Abstract Creativity is defined by three key factors: novelty, feasibility and value. While many creativity tests focus primarily on novelty, they often neglect feasibility and value, thereby limiting their reflection of real‐world creativity. In this study, we employ GPT‐4, a large language model, to assess these three dimensions in a Japanese‐language
Felix B. Kern   +2 more
wiley   +1 more source

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