Results 121 to 130 of about 439,227 (216)

Testing for Neglected Nonlinearity in Long Memory Models [PDF]

This paper constructs tests for the presence of nonlinearity of unknown form in addition to a fractionally integrated, long memory component in a time series process.
George Kapetanios, Richard T. Baillie
core  

Recognizing the feature of knee hyperextension in stroke patients based on transformer-long-short-term memory model. [PDF]

Biomed Eng Online
Shen A, Chen X, Xia Q, Wang Y, Xu H.
europepmc   +1 more source

Aging and visual feature binding in working memory

, 2013
This chapter examines the question of how the features or elements (e.g. shape, color, or spatial location) of a stimulus that is encountered in the visual environment are bound together in working memory to form an integrated representation.
Niven, Elaine, Allen, RJ, Brown, Louise A., Niven, EH, Allen, Richard J., Brown, LA   +5 more
core  

Enhanced graph attention network by integrating Long Short-Term Memory for artificial emotion representation in multi-modality datasets. [PDF]

PLoS One
Dong W, Dong M, Zhao Y, Pan S.
europepmc   +1 more source

Research on time series prediction of microclimate in agrivoltaic systems based on the long short-term memory and attention mechanism. [PDF]

Front Plant Sci
Zhang L, Gong J, Wu C, Murchie EH, Gibbs AJ, Liu B, Yang C, Xu G, Zhang J, Guo J, Xiao M, Bao E.   +11 more
europepmc   +1 more source

An Ensemble of Long Short-Term Memory Models to Automatically Detect End-Range Movement Patterns in Men's Professional Hard Court Grand Slam Tennis. [PDF]

Eur J Sport Sci
Armstrong C, Peeling P, Murphy A, Denman S, Reid M.   +4 more
europepmc   +1 more source

Long-term working memory: A computational implementation for chess expertise

, 2000
Long-term working memory (Ericsson and Kintsch, 1995) is a theory covering empirical data from several domains, including expert behaviour. One difficulty in applying and evaluating this theory, however, is that it is framed in rather general terms, and ...
Gobet, F
core  

Portfolio Optimization and Long-Term Dependence [PDF]

Whilst emphasis has been given to short-term dependence of financial returns, long-term dependence remains overlooked. Despite financial literature provides evidence of long-term’s memory existence, serial-independence assumption prevails.
Carlos León, Alejandro Reveiz
core  

Motion feature extraction based on semi-supervised learning and long short-term memory network in digital dance. [PDF]

Front Neurorobot
Yang X, Sun H, Lyu Y, Sun Y.
europepmc   +1 more source

Long Memory in the Australian Stock Market [PDF]

In this paper, we re-examine the evidence of long memory in the Australian stock market. Using the rescaled range analysis, we find evidence of long memory and non-periodic cycles in the All Ordinaries Index.
Sang-Hoon Kang, Hoa Nguyen
core