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burley
2017 Jul 01
1
Packages for Learning Algorithm Independent Branch and Bound for Feature Selection
...s of whether
my new method outperforms the state-of-the-art or not. (And regardless if
my dataset is representative enough to make such performance claims)
I will take a look at that page, thanks! Hopefully there is an R
implementation of generic B&B as I described out there somewhere...
Alex Byrley
Graduate Student
Department of Electrical Engineering
235 Davis Hall
(716) 341-1802
2017-07-01 3:53 GMT-04:00 Enrico Schumann <es at enricoschumann.net>:
> On Thu, 29 Jun 2017, Alex Byrley writes:
>
> > I am looking for packages that can run a branch-and-bound algorithm to
>...
2017 Jun 29
2
Packages for Learning Algorithm Independent Branch and Bound for Feature Selection
...charyya or Mahalanobis) on a set
of features.
I would like this to be learning algorithm independent, so that the method
just looks at the features, and selects the subset of a user-defined size
that maximizes a distance criteria such as those stated above.
Can anyone give some suggestions?
Alex Byrley
Graduate Student
Department of Electrical Engineering
235 Davis Hall
(716) 341-1802
[[alternative HTML version deleted]]
2017 Jul 01
0
Packages for Learning Algorithm Independent Branch and Bound for Feature Selection
On Thu, 29 Jun 2017, Alex Byrley writes:
> I am looking for packages that can run a branch-and-bound algorithm to
> maximize a distance measure (such as Bhattacharyya or Mahalanobis) on a set
> of features.
>
> I would like this to be learning algorithm independent, so that the method
> just looks at the feature...