Improving Temporal Event Scheduling through STEP Perpetual Learning
Jiahua Tang,
Du Zhang (),
Xibin Sun and
Haiou Qin
Additional contact information
Jiahua Tang: Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR 999078, China
Du Zhang: Faculty of Innovation Engineering, Macau University of Science and Technology, Macau SAR 999078, China
Xibin Sun: Computer Engineering Technical College, Guangdong Polytechnic of Science and Technology, Guangzhou 510640, China
Haiou Qin: School of Information Engineering, Nanchang Institute of Technology, Nanchang 330029, China
Sustainability, 2022, vol. 14, issue 23, 1-23
Abstract:
Currently, most machine learning applications follow a one-off learning process: given a static dataset and a learning algorithm, generate a model for a task. These applications can neither adapt to a dynamic and changing environment, nor accomplish incremental task performance improvement continuously. STEP perpetual learning, by continuous knowledge refinement through sequential learning episodes, emphasizes the accomplishment of incremental task performance improvement. In this paper, we describe how a personalized temporal event scheduling system SmartCalendar, can benefit from STEP perpetual learning. We adopt the interval temporal logic to represent events’ temporal relationships and determine if events are temporally inconsistent. To provide strategies that approach user preferences for handling temporal inconsistencies, we propose SmartCalendar to recognize, resolve and learn from temporal inconsistencies based on STEP perpetual learning. SmartCalendar has several cornerstones: similarity measures for temporal inconsistency; a sparse decomposition method to utilize historical data; and a loss function based on cross-entropy to optimize performance. The experimental results on the collected dataset show that SmartCalendar incrementally improves its scheduling performance and substantially outperforms comparison methods.
Keywords: STEP perpetual learning; temporal inconsistency; interval temporal logic; temporal event scheduling; SmartCalendar (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2071-1050/14/23/16178/pdf (application/pdf)
https://www.mdpi.com/2071-1050/14/23/16178/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:14:y:2022:i:23:p:16178-:d:992923
Access Statistics for this article
Sustainability is currently edited by Ms. Alexandra Wu
More articles in Sustainability from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().