Results 31 to 40 of about 21,812 (251)
A Novel Nonparametric Feature Selection Approach Based on Mutual Information Transfer Network
The filter feature selection algorithm is habitually used as an effective way to reduce the computational cost of data analysis by selecting and implementing only a subset of original features into the study.
Kunmei Li, Nasser Fard
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Breast cancer is one of the most critical diseases suffered by many people around the world, making it the most common medical risk they will face. This disease is considered the leading cause of death around the world, and early detection is difficult. In the field of healthcare, where early diagnosis based on machine learning (ML) helps save patients’
Mohammed Hashim, Ali Yassin
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Fast scrambling of mutual information in Kerr-
We compute the disruption of mutual information between the hemispherical subsystems on the left and right conformal field theories of a thermofield double state described by a Kerr geometry in AdS4 due to shock waves along the equatorial plane. The shock waves and the subsystems considered respect the axisymmetry of the geometry.
Vinay Malvimat, Rohan R. Poojary
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Schur-MI: Fast Mutual Information for Robotic Information Gathering
Mutual information (MI) is a principled and widely used objective for robotic information gathering (RIG), providing strong theoretical guarantees for sensor placement (SP) and informative path planning (IPP). However, its high computational cost - dominated by repeated log-determinant evaluations - has limited its use in real-time planning. This paper
Kalvik Jakkala +2 more
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Business students often find it difficult to understand the relevance of the traditional core MIS course taught as part of most business curricula. To address this problem, we made several changes to how we teach IS to business students. One of those changes consists of using crosscourse projects that require the application of IS tools and concepts ...
Kregg Aytes, Steve Byers
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Post-MI: unsupervised brain tissue segmentation via post-maximized mutual information
IntroductionBrain tissue segmentation in magnetic resonance imaging (MRI) is a fundamental step in quantitative neuroimaging and supports the analysis of structural brain alterations associated with aging. However, voxel-level annotation is expensive and
Ke Niu +10 more
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ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi +10 more
wiley +1 more source
Parallel mutual information estimation for inferring gene regulatory networks on GPUs
Background Mutual information is a measure of similarity between two variables. It has been widely used in various application domains including computational biology, machine learning, statistics, image processing, and financial computing.
Liu Weiguo +3 more
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Amplification, Inference, and the Manifestation of Objective Classical Information
Our everyday reality is characterized by objective information—information that is selected and amplified by the environment that interacts with quantum systems.
Michael Zwolak
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ABSTRACT Background Adolescents with haematological malignancies face significant emotional and relational challenges, often accompanied by difficulties in communicating their needs within the healthcare context. To address these issues, a narrative‐based psycho‐educational intervention based on the creation and prescription of Ironic Medications was ...
Marta Stoppa +7 more
wiley +1 more source

