Results 31 to 40 of about 7,363,003 (254)

Multi-Stage Meta-Learning for Few-Shot with Lie Group Network Constraint

Entropy, 2020
Deep learning has achieved many successes in different fields but can sometimes encounter an overfitting problem when there are insufficient amounts of labeled samples.
Fang Dong, Li Liu, Fanzhang Li
doaj   +1 more source

Robust Spike-Based Continual Meta-Learning Improved by Restricted Minimum Error Entropy Criterion

Entropy, 2022
The spiking neural network (SNN) is regarded as a promising candidate to deal with the great challenges presented by current machine learning techniques, including the high energy consumption induced by deep neural networks.
Shuangming Yang, Jiangtong Tan, Badong Chen   +2 more
doaj   +1 more source

Improving Domain-Generalized Few-Shot Text Classification with Multi-Level Distributional Signatures

Applied Sciences, 2023
Domain-generalized few-shot text classification (DG-FSTC) is a new setting for few-shot text classification (FSTC). In DG-FSTC, the model is meta-trained on a multi-domain dataset, and meta-tested on unseen datasets with different domains.
Xuyang Wang, Yajun Du, Danroujing Chen, Xianyong Li, Xiaoliang Chen, Yongquan Fan, Chunzhi Xie, Yanli Li, Jia Liu   +8 more
doaj   +1 more source

EVALUASI PENGEMBALIAN (RETUR) OBAT PADA SISTEM UNIT DOSE DISPENSING (UDD) DI INSTALASI FARMASI RAWAT INAP RS X [PDF]

Sistem distribusi Unit Dose Dispensing (UDD) dapat menurunkan kesalahan pemberian obat hingga kurang dari 5%, dibandingkan dengan floor stock atau resep individu yang mencapai 18%. RS X merupakan rumah sakit yang telah menerapkan sistem UDD.
Amalia, Tisa, Azzahra, Fauzia, Haifa, Ayu Izzatin, Rahayu, Sri   +3 more
core   +2 more sources

Few Shot Class Incremental Learning via Efficient Prototype Replay and Calibration

Entropy, 2023
Few shot class incremental learning (FSCIL) is an extremely challenging but valuable problem in real-world applications. When faced with novel few shot tasks in each incremental stage, it should take into account both catastrophic forgetting of old ...
Wei Zhang, Xiaodong Gu
doaj   +1 more source

Task-Adaptive Embedding Learning with Dynamic Kernel Fusion for Few-Shot Remote Sensing Scene Classification

Remote Sensing, 2021
The central goal of few-shot scene classification is to learn a model that can generalize well to a novel scene category (UNSEEN) from only one or a few labeled examples.
Pei Zhang, Guoliang Fan, Chanyue Wu, Dong Wang, Ying Li   +4 more
doaj   +1 more source

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Knowledge of Accredited Social Health Activists in India: a systematic review and meta analysis of evidence drawn from primary studies published between 2005 and 2022

BMC Health Services Research
Background Since the inception of the ASHAs in the year 2005, their work horizons have increased from Reproductive, Maternal, Newborn, Child, and Adolescent health (RMNCH + A), Communicable and Non-Communicable Diseases (CD & NCD) to oral health ...
Shambhavi Singh, Bhaskar Tiwary, Manish Barik, Hemlata Arora, Sruthi Susan Abraham, Piyusha Majumdar, Daliya Sebastian, Svea Closser   +7 more
doaj   +1 more source

Availability of evidence and comparative effectiveness for surgical versus drug interventions: an overview of systematic reviews and meta-analyses

BMJ Open
Objectives This study aims to examine the prevalence of comparisons of surgery to drug regimens, the strength of evidence of such comparisons and whether surgery or the drug intervention was favoured.Design Systematic review of systematic reviews ...
Ewoud Schuit, John P Ioannidis, Emmanuel A Zavalis, Anaïs Rameau, Anirudh Saraswathula, Joachim Vist   +5 more
doaj   +1 more source

Modeling Task Uncertainty for Safe Meta-Imitation Learning

Frontiers in Robotics and AI, 2020
To endow robots with the flexibility to perform a wide range of tasks in diverse and complex environments, learning their controller from experience data is a promising approach.
Tatsuya Matsushima, Naruya Kondo, Yusuke Iwasawa, Kaoru Nasuno, Kaoru Nasuno, Yutaka Matsuo   +5 more
doaj   +1 more source