NMF for Topic Modeling | Derek Greene's Home
Topic modeling is a key tool for the discovery of hidden structure in large collections of documents. Probabilistic methods, such as Latent Dirichlet allocationTopic modeling is a key tool for the discovery of hidden structure in large collections of documents. Probabilistic methods, such as Latent Dirichlet allocation (LDA), are often employed by using tools such as the Java MALLET library. Howev
Massive Matrix Factorization for fMRI and Recommender Systems
As ICML approaches, I will give a quick overview of our work on efficient matrix factorization for very large datasets. Our focus was to scale matrix factorization techniques for functional MRI, a domain where data to decompose is now at terabyte scale. Along the way, we also designed a encouraging proof-of-concept experiment for collaborative filtering. We’ll start by giving a quick overview of m
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How Many Topics? Stability Analysis for Topic Models | Derek Greene's Home