Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Junfu Yin"'
Publikováno v:
IJCNN
This paper proposes the use of Stacked Denoising Autoencoder to predict the direction of movement of stock indexes based on the historical and volume data of the underlying stocks. The Stacked Denoising Autoencoder is a deep learning method widely us
Publikováno v:
Neural Information Processing ISBN: 9783319466743
ICONIP (3)
ICONIP (3)
Faced with the problem of uncertainties in object trajectory and pattern recognition in terms of the non-parametric Bayesian approach, we have derived that 2 major methods of optimizing hierarchical Dirichlet process hidden Markov model (HDP-HMM) for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e93d97d8159a67127e3a323b130125a
https://doi.org/10.1007/978-3-319-46675-0_11
https://doi.org/10.1007/978-3-319-46675-0_11
Publikováno v:
DSAA
In recent years, the importance of identifying actionable patterns has become increasingly recognized so that decision-support actions can be inspired by the resultant patterns. A typical shift is on identifying high utility rather than highly freque
Copyright © SIAM. Modeling high-dimensional dependence is widely studied to explore deep relations in multiple variables particularly useful for financial risk assessment. Very often, strong restrictions are applied on a dependence structure by exis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::049de9cb63f1a5736d800a421ca5a809
https://hdl.handle.net/10453/121612
https://hdl.handle.net/10453/121612
Publikováno v:
IJCNN
This paper presents a novel framework for detecting abnormal sequences in an one-class setting (i.e., only normal data are available), which is applicable to various domains. Examples include intrusion detection, fault detection and speaker verificat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b8f7158f31a547a9f9b4bb34d4b33534
https://hdl.handle.net/10453/27187
https://hdl.handle.net/10453/27187
Publikováno v:
ICDM
High utility sequential pattern mining is an emerging topic in the data mining community. Compared to the classic frequent sequence mining, the utility framework provides more informative and actionable knowledge since the utility of a sequence indic
Publikováno v:
KDD
Sequential pattern mining plays an important role in many applications, such as bioinformatics and consumer behavior analysis. However, the classic frequency-based framework often leads to many patterns being identified, most of which are not informa
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642035722
DEXA
DEXA
Based on the fuzzy description logic F-ALC (G ), we design and implement a fuzzy description logic reasoner, named FRESG1.0. FRESG1.0 can support the representation and reasoning of fuzzy data information with customized fuzzy data types and customiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0006981ddef1f8093063d34b8b2ddfbc
https://doi.org/10.1007/978-3-642-03573-9_38
https://doi.org/10.1007/978-3-642-03573-9_38