37 citations · 65 across the 4 of their papers we have counts for
4 papers
Mobile Foundation Model as Firmware
Jinliang Yuan, Chen Yang, Dongqi Cai +9
In today's landscape, smartphones have evolved into hubs for hosting a multitude of deep learning models aimed at local execution. A key realization driving this work is the notabl…
Boosting the Discriminant Power of Naive Bayes
Shihe Wang, Jianfeng Ren, Xiaoyu Lian +2
Naive Bayes has been widely used in many applications because of its simplicity and ability in handling both numerical data and categorical data. However, lack of modeling of corre…
A Max-relevance-min-divergence Criterion for Data Discretization with Applications on Naive Bayes
Shihe Wang, Jianfeng Ren, Ruibin Bai +2
In many classification models, data is discretized to better estimate its distribution. Existing discretization methods often target at maximizing the discriminant power of discret…
A Semi-Supervised Adaptive Discriminative Discretization Method Improving Discrimination Power of Regularized Naive Bayes
Shihe Wang, Jianfeng Ren, Ruibin Bai
Recently, many improved naive Bayes methods have been developed with enhanced discrimination capabilities. Among them, regularized naive Bayes (RNB) produces excellent performance…