Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Dynamic Optimization is an umbrella term that refers to any optimization of software that is performed after the initial compile time. It is a complementary optimization opportuni...
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
To observe, analyze and control large scale distributed systems and the applications hosted on them, there is an increasing need to continuously monitor performance attributes of ...
Shicong Meng, Srinivas R. Kashyap, Chitra Venkatra...