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cs.LG2024
K-means Derived Unsupervised Feature Selection using Improved ADMM
Ziheng Sun, Chris Ding, Jicong Fan
Feature selection is important for high-dimensional data analysis and is non-trivial in unsupervised learning problems such as dimensionality reduction and clustering. The goal of…
cs.CL2024★ 1 cited
Learning Word Embedding with Better Distance Weighting and Window Size Scheduling
Chaohao Yang, Chris Ding
Distributed word representation (a.k.a. word embedding) is a key focus in natural language processing (NLP). As a highly successful word embedding model, Word2Vec offers an efficie…