Results 111 to 120 of about 7,740,063 (200)

Meta-learning: from classification to forecasting, to optimiziation, and beyond

, 2007
Meta-learning: from classification to forecasting, to optimiziation, and ...
K Smith-Miles (9863015)
core  

Meta-QSAR: a large-scale application of meta-learning to drug design and discovery

, 2018
We investigate the learning of quantitative structure activity relationships (QSARs) as a case-study of meta-learning. This application area is of the highest societal importance, as it is a key step in the development of new medicines. The standard QSAR
J Vanschoren (24000066), I Olier (23997033), RD King (24000075), GR Bickerton (24000063), N Sadawi (24000060), C Grosan (24000069), L Soldatova (24000072)   +6 more
core  

A Sample Complexity Separation between Non-Convex and Convex Meta-Learning

, 2020
One popular trend in meta-learning is to learn from many training tasks a common initialization that a gradient-based method can use to solve a new task with few samples.
Khodak, Mikhail, Saunshi, Nikunj, Arora, Sanjeev, Zhang, Yi   +3 more
core  

Meta Soft Prompting and Learning

APSIPA Transactions on Signal and Information Processing
Jen-Tzung Chien, Ming-Yen Chen, Ching-hsien Lee, Jing-Hao Xue   +3 more
doaj   +1 more source

Smart FL: meta-learning for federated blood marrow smear classification. [PDF]

Front Oncol
Ilakiyaselvan N, Sanskar S, Aarthi D, Kalyanasundaram V.   +3 more
europepmc   +1 more source

Tailored forecasting from short time series via meta-learning. [PDF]

Sci Adv
Norton DA, Ott E, Pomerance A, Hunt BR, Girvan M.   +4 more
europepmc   +1 more source

DREAM-Meta learning for tailored hierarchical dialogue management: application to motivational interview. [PDF]

Front Artif Intell
Galland L, Pelachaud C, Pecune F.
europepmc   +1 more source

Towards Meta-meta-learning

The ability to generalize prior knowledge and experiences to a novel problem is a hallmark of human intelligence. This “learning how to learn”, known as meta-learning in machine learning, could help make machine learning models have similar ...
Sethapun, Waree
core  

LFODet: Lightweight Few-Shot Object Detection with Meta-Learning in Remote Sensing Images. [PDF]

Sensors (Basel)
Wu H, Fang X, Xiong H, Yang X.
europepmc   +1 more source

MetaEmo: a meta-learning and culturally adaptive framework for dynamic emotional recognition in cross-cultural classrooms. [PDF]

Front Psychol
Li J, Wang Z.
europepmc   +1 more source