In this article, I will consider Markov Decision Processes with two criteria, each defined as the expected value of an infinite horizon cumulative return. The second criterion is e...
Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetti...
Contrary to the apparent beliefs of many students, computer programming and problem solving are not amenable to purely book learning. These skills can be acquired only by practice...
The advances in kernel-based learning necessitate the study on solving a large-scale non-sparse positive definite linear system. To provide a deterministic approach, recent resear...
of it suffer from a number of limitations, including: The effectiveness of an analogical reasoner depends upon its ability to select a relevant analogical source. In many problem d...