A new approach to extended‐range multimodel forecasting: Sequential learning algorithms
Sign Up to like & getrecommendations! Published in 2021 at "Quarterly Journal of the Royal Meteorological Society"
DOI: 10.1002/qj.4177
Abstract: Multimodel combinations are a well‐established methodology in weather and climate prediction and their benefits have been widely discussed in the literature. Typical approaches involve combining the output of different numerical weather prediction (NWP) models using… read more here.
Keywords: skill; combination; prediction; new approach ... See more keywords
A Bayesian Sequential Learning Framework to Parameterise Continuum Models of Melanoma Invasion into Human Skin
Sign Up to like & getrecommendations! Published in 2019 at "Bulletin of Mathematical Biology"
DOI: 10.1007/s11538-018-0532-1
Abstract: We present a novel framework to parameterise a mathematical model of cell invasion that describes how a population of melanoma cells invades into human skin tissue. Using simple experimental data extracted from complex experimental images,… read more here.
Keywords: bayesian sequential; invasion; sequential learning; biology ... See more keywords
GSNet: Group Sequential Learning for Image Recognition
Sign Up to like & getrecommendations! Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-020-09815-4
Abstract: In recent years, deep learning has achieved great successes in the field of image cognitive learning, and designing a well-behaved convolutional neural network (CNN)-based architecture has become a challenging and important problem. The traditional group… read more here.
Keywords: recognition; sequential learning; image; group sequential ... See more keywords
Benchmarking the acceleration of materials discovery by sequential learning†
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Science"
DOI: 10.1039/c9sc05999g
Abstract: Sequential learning (SL) strategies, i.e. iteratively updating a machine learning model to guide experiments, have been proposed to significantly accelerate materials discovery and research. Applications on computational datasets and a handful of optimization experiments have… read more here.
Keywords: research; performance; benchmarking acceleration; sequential learning ... See more keywords
Geometric Sequential Learning Dynamics
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DOI: 10.1109/lcomm.2020.3029035
Abstract: In this letter, we introduce a novel dynamic model for predicting the exact strategies of the opponents without message exchange, namely geometric sequential learning dynamics (GSLD). The intuition is twofold; first, the utility function is… read more here.
Keywords: learning dynamics; utility; geometric sequential; function ... See more keywords
Real-world Cross-modal Retrieval via Sequential Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2020.3002177
Abstract: Cross-modal retrieval is playing an increasingly important role in our daily life with the explosive growth of multimedia data. However, its learning paradigm under real-life environments is less studied, and most existing approaches are developed… read more here.
Keywords: sequential learning; cross modal; modal retrieval;
Implicit spatial sequential learning facilitates attentional selection in covert visual search. An event-related potentials study
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Human Neuroscience"
DOI: 10.3389/fnhum.2022.974791
Abstract: Introduction While most studies on implicit sequential learning focus on object learning, the hidden structure of target location and onset time can also be a subject of implicitly gathered knowledge. In our study, we wanted… read more here.
Keywords: sequential learning; attentional selection; search; visual search ... See more keywords