- d'_{b}} at
small discriminability, but
greater at
large discriminability. In general, the
contribution to the
total discriminability by each dimension...
- In computing, a
discriminator is a
field of
characters designed to
separate a
certain element from
others of the same identifier. As an example, suppose...
- controversy, and
sometimes been
called reverse discrimination. The term
discriminate appeared in the
early 17th
century in the
English language. It is from...
-
Discriminative models, also
referred to as
conditional models, are a
class of
models frequently used for classification. They are
typically used to solve...
-
generalizes several distances and
divergences Discriminability index,
specifically the
Bayes discriminability index, is a positive-definite
symmetric measure...
- The term
discriminated union may
refer to:
Disjoint union in set theory.
Tagged union in
computer science. This
disambiguation page
lists articles ****ociated...
- classification, two main
approaches are
called the
generative approach and the
discriminative approach.
These compute classifiers by
different approaches, differing...
- to w → {\displaystyle {\vec {w}}} . Generally, the data
points to be
discriminated are
projected onto w → {\displaystyle {\vec {w}}} ; then the threshold...
- and
negative transfer learning. In 1992,
Lorien Pratt formulated the
discriminability-based
transfer (DBT) algorithm. By 1998, the
field had
advanced to...
-
Price discrimination (differential pricing,
equity pricing,
preferential pricing, dual pricing,
tiered pricing, and
surveillance pricing) is a microeconomic...
