All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Abstract. Ensuring the security of medical records is becoming an increasingly important problem as modern technology is integrated into existing medical services. As a consequence...
Abstract. This paper describes the application of a decentralised coordination algorithm, called Collaborative Reinforcement Learning (CRL), to two different distributed system pr...
Jim Dowling, Raymond Cunningham, Anthony Harringto...
This paper addresses the question of factoring a logic into families of (generally simpler) components, estimating the top– down perspective, splitting, versus the bottom–up, s...