Protein function prediction based on zero-one matrix factorization
نویسندگان
چکیده
منابع مشابه
Link prediction based on non-negative matrix factorization
With the rapid expansion of internet, the complex networks has become high-dimensional, sparse and redundant. Besides, the problem of link prediction in such networks has also obatined increasingly attention from different types of domains like information science, anthropology, sociology and computer sciences. It makes requirements for effective link prediction techniques to extract the most e...
متن کاملNetwork Distance Prediction Based on Decentralized Matrix Factorization
Network Coordinate Systems (NCS) are promising techniques to predict unknown network distances from a limited number of measurements. Most NCS algorithms are based on metric space embedding and suffer from the inability to represent distance asymmetries and Triangle Inequality Violations (TIVs). To overcome these drawbacks, we formulate the problem of network distance prediction as guessing the...
متن کاملLink Prediction via Matrix Factorization
We propose to solve the link prediction problem in graphs using a supervised matrix factorization approach. The model learns latent features from the topological structure of a (possibly directed) graph, and is shown to make better predictions than popular unsupervised scores. We show how these latent features may be combined with optional explicit features for nodes or edges, which yields bett...
متن کاملMatrix Factorization for Collaborative Prediction
Netflix, an online video rental company, recently announced a contest to spur interest in building better recommendation systems. Users of Netflix are able to rank movies on an integer scale from 1 to 5. A rating of 1 indicates that the user “hated it”, while 5 indicates they “loved it”. The objective of a recommendation system, or collaborative filter, is to provide users with new recommendati...
متن کاملRating prediction using preference relations based matrix factorization
Rating prediction is an important problem for rating based recommender systems. In Rating Prediction, the task is to predict the rating that a user would give to an item that he/she has not rated in the past. Most of the existing algorithms for the task concentrate on the absolute ratings given to different items by different users in the past. However, there are few recent research work that p...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SCIENTIA SINICA Informationis
سال: 2019
ISSN: 1674-7267
DOI: 10.1360/n112018-00331