Hi Kumar
Thanks for your interest in our project. It would be very interesting to
have your thoughts on bringing aspects of machine learning to the ASCEND
modelling environment. My feeling would be that it's quite important to
first understand the type of non-linear modelling that ASCEND
immediately seeks to support, and then to consider ways of building on
top of that.
Perhaps an area that might interest you would be in parameter estimation
from noisy data? For example, if someone has a correlation with a
certain number of unknown parameters (eg y = mx+b) as well as a data set
for (x,y), can you implement a general-purpose solver in ASCEND that
would give estimates for (m,b) together with their statistical
uncertainty based on the data? If a number of different possible
correlations are available (eg y = ax^2 + bx + c) can you provide an
assessment of which one has the best performance at the same time as not
having so many parameters as to be 'over fitting' the data? This is not
a new problem; there are well developed techniques that would apply, but
we don't currently have any support for this mode of calculation in
ASCEND. Perhaps you could develop the basic approach, and then implement
some machine learning stuff on top of that?
Cheers
JP
On 15/03/15 06:02, Kumar Shubham wrote:
Hi Guys,
I have previously worked on Particle swarm optimization and other Bio
- Inspired algorithm for cross validation using newton's gradient
based optimization technique in one of my paper on optimizing the
performance of Twin support Vector Machine, which recently has been
selected for publication in Journal of Machine Learning and
Cybernetics. Although, I have done that in Python and Matlab, but
doing it in Ascend platform will be new for me.
I am really excited to contribute to Ascend, either in GSOC or after
that!!.
I have already gone through example, can you please guide me through
next step as I am more inclined to optimization based algorithms.
--
=====================================================
~"Go over, go under, go around, or go through. But Never give up "~
Regards,
*Kumar Shubham*
Pre final Year Student
B.Tech: ELECTRONICS AND COMMUNICATION
The LNM Institute of Information Technology, Jaipur, India
Alternate Email ID: [email protected]
<mailto:[email protected]>
WebSite : http://kumarshubham.wix.com/project
Linkedin: https://www.linkedin.com/profile/view?id=248505557
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