Abstract. We use a hierarchical Bayesian approach to model user preferences in different contexts or settings. Unlike many previous recommenders, our approach is content-based. We...
Bayesian Model Averaging (BMA) is well known for improving predictive accuracy by averaging inferences over all models in the model space. However, Markov chain Monte Carlo (MCMC)...
Shaping can be an effective method for improving the learning rate in reinforcement systems. Previously, shaping has been heuristically motivated and implemented. We provide a for...
Active-network technology envisions deploying execution environments in network elements so that application-specific processing can be applied to network traffic. To provide safe...
Virginie Galtier, Kevin L. Mills, Yannick Carlinet
Checking pre- and post-conditions of procedures and methods at runtime helps improve software reliability. In the procedural world, pre- and post-conditions have a straightforward...