Results 141 to 150 of about 53,710 (343)

IHML: Incremental Heuristic Meta-Learner

Applied Artificial Intelligence
The landscape of machine learning constantly demands innovative approaches to enhance algorithms’ performance across diverse tasks. Meta-learning, known as “learning to learn” is a promising way to overcome these diversity challenges by blending multiple
Onur Karadeli, Kıymet Kaya, Şule Gündüz Öğüdücü   +2 more
doaj   +1 more source

Do Linking‐Expression Substitutions Mitigate Deterministic Interpretations of Genetic Information?

Journal of Applied Philosophy, EarlyView.
ABSTRACT It is a common concern that broader audiences interpret scientific information about the genetic correlates and causes of complex human traits in an overly deterministic manner. A frequently proposed way to address this issue is to carefully select the linking expressions used to describe gene–trait relationships when communicating genetic ...
Riin Kõiv
wiley   +1 more source

Mixed Method for Model Order Reduction Using Meta Heuristic Harris Hawk and Routh Hurwitz Array Technique [PDF]

, 2021
Aswant Kumar Sharma, D. K. Sambariya
openalex   +1 more source

Sequelae of child maltreatment: Umbrella synthesis of 148 meta‐analyses on the mental health correlates

JCPP Advances, EarlyView.
Our umbrella synthesis found strong, often equivalent, associations between child maltreatment and all examined mental health difficulties. Different types of maltreatment appear to have comparably negative effects on mental health. If replicated, these findings may cause us to reconsider conventional wisdom that suggests some forms of CM are less ...
Barry Coughlan, Robbie Duschinsky, Marian J. Bakermans‐Kranenburg, Lianne Bakkum, Guy C. M. Skinner, Alfred Markham, Helen Beckwith, Marinus H. van Ijzendoorn   +7 more
wiley   +1 more source

Meshless Search SR-STAP for Airborne Radar Based on Meta-Heuristic Algorithms. [PDF]

Sensors (Basel), 2023
Hou Y, Zhang Y, Gui W, Wang D, Dong W.
europepmc   +1 more source

Sentiment analysis via multi-layer perceptron trained by meta-heuristic optimisation [PDF]

, 2017
Alboaneen, Dabiah Ahmed, Tianfield, Huaglory, Zhang, Yan   +2 more
core   +2 more sources

Toward an idiographic understanding of the role of sleep‐mood dynamics in adolescents' internalizing symptoms

JCPP Advances, EarlyView.
Abstract Background Adolescence is marked by increased vulnerability to sleep disturbances and mood disorders. Understanding how day‐to‐day changes in sleep and mood are linked within the same individual is crucial for clarifying sleep's role in emerging internalizing disorders. However, the extent to which an adolescent's fluctuations in sleep predict
Konstantin Drexl, Setareh Ranjbar, Sébastien Urben, Kerstin Jessica Plessen, Jennifer Glaus   +4 more
wiley   +1 more source

A Novel Pareto-Based Meta-Heuristic Algorithm To Optimize Multi-Facility Location-Allocation Problem

, 2013
Vahid Hajipour, Samira Vazifeh-Noshafagh, Reza Tavakkoli‐Moghaddam   +2 more
openalex   +2 more sources

Deciphering nodal burden in thyroid carcinoma: A dedicated survey of age, lymph node ratio, log odds of positive nodes, and preoperative prediction models

Journal of Intelligent Medicine, EarlyView.
Abstract Evidence regarding the prognosis of thyroid carcinoma is heterogeneous, ranging from age effects and nodal burden metrics, such as lymph node ratio (LNR) and log odds of positive nodes (LODDS), to preoperative imaging models comprising ultrasound, CEUS, and radiomics.
Mennatallah Sherif, Mohanad A. Deif, Eman K. Elsayed   +2 more
wiley   +1 more source

Modified Meta Heuristic BAT with ML Classifiers for Detection of Autism Spectrum Disorder. [PDF]

Biomolecules, 2023
Sha M, Alqahtani A, Alsubai S, Dutta AK.
europepmc   +1 more source