On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,181 papers · 148 categories

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4 results for “e-business”

Assessing the state of e-Readiness for Small and Medium Companies in Mexico: a Proposed Taxonomy and Adoption Modelq-fin.GN

This study assesses e-readiness of Mexican SMEs and proposes a model.

problem Small and medium enterprises in Mexico struggle with e-business adoption.

method Survey research design, statistical analysis, adoption models.

result Data will be collected and analyzed to assess e-readiness and propose recommendations.

e-readiness small and medium enterprises Mexico e-business e-readiness assessment

2018-03-12abs ↗pdf ↗

Automated detection of business-relevant outliers in e-commerce conversion ratestat.AP

New method detects business-relevant outliers in e-commerce conversion rates.

problem Identifying outliers in e-commerce conversion rate data.

method A novel unsupervised fluid IQR method that adjusts sensitivity based on platform activity.

result Fluid IQR method outperforms existing methods in business-relevance and robustness.

outliers e-commerce conversion rate fluid IQR business-relevance

2019-05-15abs ↗pdf ↗

Which measure for PFE? The Risk Appetite Measure, Aq-fin.RM

Potential Future Exposure (PFE) is a standard risk metric for managing business unit counterparty credit risk but there is debate on how it should be calculated. The debate has been whether to use one of many historical ("physical") measures (one per calibration setup), or one of many risk-neutral measures (one per num…

2015-12-19abs ↗pdf ↗

Privacy-Preserving Asynchronous Federated Learning Algorithms for Multi-Party Vertically Collaborative Learningcs.LG

Asynchronous federated learning for vertically partitioned data improves efficiency and privacy.

problem Efficiently train models on vertically partitioned data without a trusted third party.

method Proposed AFSGD-VP and its SVRG and SAGA variants for asynchronous federated learning.

result AFSGD-VP and its variants achieve higher efficiency than synchronous algorithms.

federated learning asynchronous training vertical partitioning privacy-preserving SGD

2020-08-14abs ↗pdf ↗