We consider the task of learning mappings from sequential data to real-valued responses. We present and evaluate an approach to learning a type of hidden Markov model (HMM) for re...
An online interactive learning environment which offers immediate feedback to student learning SQL was constructed. This has supported the gathering of interesting statistics on s...
We present an expressive agent design language for reinforcement learning that allows the user to constrain the policies considered by the learning process.The language includes s...
The operational benefits of having a learning organization include at the very minimum increased organizational competitiveness and responsiveness in a given realm of competition....
Relevant component analysis (RCA) is a recently proposed metric learning method for semi-supervised learning applications. It is a simple and efficient method that has been applie...