A Novel Triple Matrix Factorization Method for Detecting Drug-Side Effect Association Based on Kernel Target Alignment
نویسندگان
چکیده
منابع مشابه
On Kernel-Target Alignment
We introduce the notion of kernel-alignment, a measure of similarity between two kernel functions or between a kernel and a target function. This quantity captures the degree of agreement between a kernel and a given learning task, and has very natural interpretations in machine learning, leading also to simple algorithms for model selection and learning. We analyse its theoretical properties, ...
متن کاملOn Detecting Target Acoustic Signals Based on Non-negative Matrix Factorization
In this paper, we propose a novel target acoustic signal detection approach which is based on non-negative matrix factorization (NMF). Target basis vectors are trained from the target signal database through NMF, and input vectors are projected onto the subspace spanned by these target basis vectors. By analyzing the distribution of time-varying normalized projection error, the optimal threshol...
متن کاملA novel method for detecting structural damage based on data-driven and similarity-based techniques under environmental and operational changes
The applications of time series modeling and statistical similarity methods to structural health monitoring (SHM) provide promising and capable approaches to structural damage detection. The main aim of this article is to propose an efficient univariate similarity method named as Kullback similarity (KS) for identifying the location of damage and estimating the level of damage severity. An impr...
متن کاملOnline Kernel Matrix Factorization
The problem of efficiently applying a kernel-induced feature space factorization to a largescale data sets is addressed in this thesis. Kernel matrix factorization methods have showed good performances solving machine learning and data analysis problems. However, the present growth of the amount of information available implies the problems can not be solved with conventional methods, due their...
متن کاملA Novel Method for Selecting the Supplier Based on Association Rule Mining
One of important problems in supply chains management is supplier selection. In a company, there are massive data from various departments so that extracting knowledge from the company’s data is too complicated. Many researchers have solved this problem by some methods like fuzzy set theory, goal programming, multi objective programming, the liner programming, mixed integer programming, analyti...
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: BioMed Research International
سال: 2020
ISSN: 2314-6133,2314-6141
DOI: 10.1155/2020/4675395