On Mon, Apr 8, 2013 at 3:28 AM, Jelmer Cnossen <j.cnossen@gmail.com> wrote:
-- I guess the difference is that in 3D modelling, you're going the other
direction (model to world/output). In statistics or machine learning,
non-parametric models have the advantage of making fewer assumptions
on the shape of distributions, so they are considered better for some
applications.
hmm, point well taken.
-- You received this message because you are subscribed to the Google Groups DIYbio group. To post to this group, send email to diybio@googlegroups.com. To unsubscribe from this group, send email to diybio+unsubscribe@googlegroups.com. For more options, visit this group at https://groups.google.com/d/forum/diybio?hl=en
Learn more at www.diybio.org
---
You received this message because you are subscribed to the Google Groups "DIYbio" group.
To unsubscribe from this group and stop receiving emails from it, send an email to diybio+unsubscribe@googlegroups.com.
To post to this group, send email to diybio@googlegroups.com.
Visit this group at http://groups.google.com/group/diybio?hl=en.
For more options, visit https://groups.google.com/groups/opt_out.
0 comments:
Post a Comment