Results 81 to 90 of about 259,517 (255)
EEML: Ensemble Embedded Meta-Learning
, 2022 To accelerate learning process with few samples, meta-learning resorts to prior knowledge from previous tasks. However, the inconsistent task distribution and heterogeneity is hard to be handled through a global sharing model initialization. In this paper, based on gradient-based meta-learning, we propose an ensemble embedded meta-learning algorithm ...
Geng Li, Boyuan Ren, Hongzhi Wang
openaire +2 more sources
Advanced Functional Materials, EarlyView.The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao +8 more
wiley +1 more source
An Easy to Use Repository for Comparing and Improving Machine Learning Algorithm Usage [PDF]
, 2014 The results from most machine learning experiments are used for a specific purpose and then discarded. This results in a significant loss of information and requires rerunning experiments to compare learning algorithms.
Giraud-Carrier, Christophe +3 more
core
, 2020 In this paper, we introduce a discrete variant of the meta-learning framework. Meta-learning aims at exploiting prior experience and data to improve performance on future tasks. By now, there exist numerous formulations for meta-learning in the continuous domain.
Adibi, Arman +2 more
openaire +2 more sources
Advanced Functional Materials, EarlyView.In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source
YOLO-MR: Meta-Learning-Based Lesion Detection Algorithm for Resolving Data Imbalance
IEEE AccessThe early detection and precise diagnosis of gastrointestinal diseases, particularly gastric cancer, play a vital role in improving patient survival rates and treatment outcomes.
Eunseo Lee +3 more
doaj +1 more source
, 2008 Cílem práce je seznámit se a prostudovat metody meta-learningu, naprogramovat algoritmus a porovnat s dalšími metodami strojového učení.Goal of this work is to make acquaintance and study meta-learningu methods, program algorithm and compare with other ...
Hovorka, Martin
core
Advanced Functional Materials, EarlyView.Fibrous benzenetrispeptide (BTP) hydrogels, fabricated via strain‐promoted azide‐alkyne cycloaddition (SPAAC) crosslinking, form robust, bioinert networks. These hydrogels can support 3D cell culture, where cell viability and colony growth depend on the fiber content.
Ceren C. Pihlamagi +5 more
wiley +1 more source
Fast On-Device Learning Framework for Single-Image Super-Resolution
IEEE AccessWhen implementing a super-resolution (SR) model on an edge device, it is common to train the model on a cloud using pre-determined training images. This is due to the lack of large-scale training data and computation power available on the edge device ...
Seok Hee Lee +5 more
doaj +1 more source