63 citations · 128 across the 34 of their papers we have counts for
3 papers · 1 filter
Single-Stage Broad Multi-Instance Multi-Label Learning (BMIML) with Diverse Inter-Correlations and its application to medical image classification
Qi Lai, Jianhang Zhou, Yanfen Gan +2
described by multiple instances (e.g., image patches) and simultaneously associated with multiple labels. Existing MIML methods are useful in many applications but most of which su…
Multi-party Secure Broad Learning System for Privacy Preserving
Xiao-Kai Cao, Chang-Dong Wang, Jian-Huang Lai +2
Multi-party learning is an indispensable technique for improving the learning performance via integrating data from multiple parties. Unfortunately, directly integrating multi-part…
Broad Recommender System: An Efficient Nonlinear Collaborative Filtering Approach
Ling Huang, Can-Rong Guan, Zhen-Wei Huang +4
Recently, Deep Neural Networks (DNNs) have been widely introduced into Collaborative Filtering (CF) to produce more accurate recommendation results due to their capability of captu…