6 citations · 8 across the 8 of their papers we have counts for
5 papers · 1 filter
Leachable Component Clustering
Miao Cheng, Xinge You
Clustering attempts to partition data instances into several distinctive groups, while the similarities among data belonging to the common partition can be principally reserved. Fu…
Offline Reinforcement Learning for Mobile Notifications
Yiping Yuan, Ajith Muralidharan, Preetam Nandy +2
Mobile notification systems have taken a major role in driving and maintaining user engagement for online platforms. They are interesting recommender systems to machine learning pr…
Adaptive Matching of Kernel Means
Miao Cheng, Xinge You
As a promising step, the performance of data analysis and feature learning are able to be improved if certain pattern matching mechanism is available. One of the feasible solutions…
A Family of Maximum Margin Criterion for Adaptive Learning
Miao Cheng, Zunren Liu, Hongwei Zou +1
In recent years, pattern analysis plays an important role in data mining and recognition, and many variants have been proposed to handle complicated scenarios. In the literature, i…
Adaptive Training of Random Mapping for Data Quantization
Miao Cheng, Ah Chung Tsoi
Data quantization learns encoding results of data with certain requirements, and provides a broad perspective of many real-world applications to data handling. Nevertheless, the re…