Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
Recent years have seen significant advances in dynamic software updating (DSU) systems, which allow programs to be patched on the fly. However, a significant challenge remains: Ho...
Christopher M. Hayden, Eric A. Hardisty, Michael W...
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Automatic techniques for software verification focus on obtaining witnesses of program failure. Such counterexamples often fail to localize the precise cause of an error and usuall...
Roopsha Samanta, Jyotirmoy V. Deshmukh, E. Allen E...