In this paper we present a game-playing algorithm for the game of Nine Men’s Morris based on a small pattern database. The player is using a combination of game-specific heuristics and a pattern-based Bayesian network to make decisions about the next move. The Bayesian network is dynamically constructed and can be learned during the game play. The player we present uses a fuzzy logic approach a...

In this paper, we empirically evaluate effectiveness of structure learning of Bayesian Network when applying such networks to the domain of Keystroke Dynamics authentication. We compare four structure learning methods of Bayesian Network Classifier – Genetic, TAN, K2, and Hill Climbing algorithms, on our authentication model, namely Classify User via Short-text and IP Model (CUSIM). The results...

Previous algorithms for the recovery of Bayesian belief network structures from data have been either highly dependent on conditional independence (CI) tests, or have required an ordering on the nodes to be supplied by the user. We present an algorithm that integrates these two approaches-CI tests are used to generate an ordering on the nodes from the database which is then used to recover the ...

Previous algorithms for the construction of Bayesian belief network structures from data have been either highly dependent on conditional independence (CI) tests, or have required an ordering on the nodes to be supplied by the user. We present an algorithm that integrates these two approaches-CI tests are used to generate an ordering on the nodes from the database which is then used to recover ...