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Found 5 papers, 1 papers with code
Variants of Tagged Sentential Decision Diagrams
The standard ones minimize the size of sentential decision diagrams (SDDs) while the zero-suppressed trimming rules have the same objective as the standard ones but for zero-suppressed sentential decision diagrams (ZSDDs).
CSSR: A Context-Aware Sequential Software Service Recommendation Model
We propose a novel software service recommendation model to help users find their suitable repositories in GitHub.
Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective
In this paper, we intend to address this problem by presenting a generalized operating procedure for DL from the perspective of unconstrained optimal design, which is motivated by a simple intension to remove the barrier of using DL, especially for those scientists or engineers who are new but eager to use it.
A Knowledge Graph based Approach for Mobile Application Recommendation
With the rapid prevalence of mobile devices and the dramatic proliferation of mobile applications (apps), app recommendation becomes an emergent task that would benefit both app users and stockholders.
Semi-supervised classification for dynamic Android malware detection
When this similarity is strong, MBSS and SVM with linear kernel maintain 90\% detection rate while $k$NN and LDA suffer great performance degradation.
