Zobrazeno 1 - 10
of 785
pro vyhledávání: '"Ho, Nguyen"'
Time series data from various domains is continuously growing, and extracting and analyzing temporal patterns within these series can provide valuable insights. Temporal pattern mining (TPM) extends traditional pattern mining by incorporating event t
Externí odkaz:
http://arxiv.org/abs/2409.05042
We consider an online strategic classification problem where each arriving agent can manipulate their true feature vector to obtain a positive predicted label, while incurring a cost that depends on the amount of manipulation. The learner seeks to pr
Externí odkaz:
http://arxiv.org/abs/2403.18176
When faced with multiple minima of an "inner-level" convex optimization problem, the convex bilevel optimization problem selects an optimal solution which also minimizes an auxiliary "outer-level" convex objective of interest. Bilevel optimization re
Externí odkaz:
http://arxiv.org/abs/2311.09738
Autor:
Binh Pham-Duc, Ho Nguyen
Publikováno v:
Journal of Degraded and Mining Lands Management, Vol 12, Iss 1, Pp 6491-6499 (2024)
In this study, high spatial resolution (3 m) PlanetScope (PS) imagery was utilized to map burned areas caused by a wildfire occurring on January 10, 2024, on Co Tien Mountain in Nha Trang city, Khanh Hoa province, South Central Coast of Vietnam. A pr
Externí odkaz:
https://doaj.org/article/86c82bd002af4175a23fca375ae7c5ea
Big time series are increasingly available from an ever wider range of IoT-enabled sensors deployed in various environments. Significant insights can be gained by mining temporal patterns from these time series. Temporal pattern mining (TPM) extends
Externí odkaz:
http://arxiv.org/abs/2306.10994
This paper develops projection-free algorithms for online convex optimization with stochastic constraints. We design an online primal-dual projection-free framework that can take any projection-free algorithms developed for online convex optimization
Externí odkaz:
http://arxiv.org/abs/2305.01333
We study the problem of maximizing a continuous DR-submodular function that is not necessarily smooth. We prove that the continuous greedy algorithm achieves an $[(1-1/e)\OPT-\epsilon]$ guarantee when the function is monotone and H\"older-smooth, mea
Externí odkaz:
http://arxiv.org/abs/2210.06061
Publikováno v:
Maxillofacial Plastic and Reconstructive Surgery, Vol 46, Iss 1, Pp 1-8 (2024)
Abstract Background This study aimed to evaluate the effectiveness of β-tricalcium phosphate (β-TCP) and platelet-rich fibrin (PRF) in unilateral alveolar bone graft, involving the percentage of residual calcified material and the average labiopala
Externí odkaz:
https://doaj.org/article/35001ef6aea54746b0406c65aae00dd8
Very large time series are increasingly available from an ever wider range of IoT-enabled sensors, from which significant insights can be obtained through mining temporal patterns from them. A useful type of patterns found in many real-world applicat
Externí odkaz:
http://arxiv.org/abs/2206.14604
Autor:
Hoanh-Su Le, Thao-Vy Huynh Do, Minh Hoang Nguyen, Hoang-Anh Tran, Thanh-Thuy Thi Pham, Nhung Thi Nguyen, Van-Ho Nguyen
Publikováno v:
International Journal of Information Management Data Insights, Vol 4, Iss 2, Pp 100295- (2024)
In Vietnam's rapidly expanding e-commerce landscape, there is a critical need for advanced tools that can effectively analyze customer feedback to boost satisfaction and loyalty. This paper introduces a two-step predictive framework merging deep lear
Externí odkaz:
https://doaj.org/article/625f8f28cd8e4f1888076fc69bc97418