Hi,
I am Ankita Shreya , a second year CSE student from IIIT Bhubaneswar. I have a strong desire in coding and have solved some challenging problems in the area of computational biology. I generally use machine learning approach as these approaches are robust to handle biological data which are generally prone to noise. As machine learning is an emerging area of research so my interest in this area developed in second year.I have undertaken Machine Learning Course from Coursera by Prof. Andrew Ng. I initiated my work by solving the micro-array classification problem where I have used Probabilistic Neural Network as the classifier. As this data is of high dimension, so filters and wrapper are used for significant feature extraction. As I am undertaking Design and Analysis of Algorithm course in this semester,I have come to know that the computational time complexity for every model is a major concern. The accuracy of the classification problem is also a major factor to justify the goodness of the model. Google Summer Code can give me an opportunity by providing me a platform where I can explore the various learning paradigms of RBFN. I am very much curious to get myself started with the Essential Deep Learning Modules- Radial Basis Function Network. I have been busy these days with my university exams and now as they are over I have started reading those suggested papers. Looking forward for your reply.
_______________________________________________ mlpack mailing list [email protected] http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack
