He wanted what, in the 1960s, we endlessly looked for – that wistful thing called "relevance".
Within this scheme, a new dimensionality reduction algorithm called Relevance Marginal Fisher Analysis (RMFA) is proposed.
For the components of impact and usability, a metric called relevance was generated, which establishes the importance of adoption.
During his research under Isaac Kohane (at Children's Hospital) he developed a novel methodology for analyzing large data sets of RNA expression, called Relevance Networks.
In 2001 Tipping [24] elaborated a new support vector machine, called Relevance Vector Machine (RVM), merging the Vapnik theory with the Bayesian statistics.
The methodology utilizes a statistical learning algorithm called relevance vector machines (RVM), which is a sparse Bayesian framework that can be used for obtaining solutions to regression and classification tasks.
Recently, a novel kernel learning method called relevance vector machine (RVM) has been widely applied to solve nonlinear predicting problems and has been verified to perform well in many situations.
– Non-redundancy: if x ij ′ = α x ij + ς, where the real valued α≠0 and ς is some noise with mean zero and unit variance, then | ρ ( X, C, x ij ) − ρ ( X, C, x ij ′ ) | → 0. The evaluation of ρ ( X, C, x ij ) is called relevance weight, and the main assumption is that the largest weight is associated with the most relevant feature.
Even though an "immensely positive force in our national life," the Episcopal Church is too caught up in what he calls relevance to accept that they are going out of business.
This technique is called relevance feedback.
