Loss Behavior in Supervised Learning With Entangled States
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
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
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
Kullback-Leibler Divergence of Sleep-Wake Patterns Related with Depressive Severity in Patients with Epilepsy. [PDF]
Liu M +5 more
europepmc +1 more source
TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward
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
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
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
The fuzzy Kullback-Leibler divergence for estimating parameters of the probability distribution in fuzzy data: an application to classifying Vietnamese Herb Leaves. [PDF]
Le H, Sang VNT, Lam Thuy LN, Bao PT.
europepmc +1 more source
Applying the maximum entropy principle to neural networks enhances multi‐species distribution models
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
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

