A binary decoder is a common component of software development tools such as instruction set simulators, disassemblers and debuggers. The efficiency of the decoder can have a sign...
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
For a Markov Decision Process with finite state (size S) and action spaces (size A per state), we propose a new algorithm--Delayed Q-Learning. We prove it is PAC, achieving near o...
Alexander L. Strehl, Lihong Li, Eric Wiewiora, Joh...
Positioning in learning networks is a process that assists learners in finding a starting point and an efficient route in the network that will foster competence building. In orde...
Jan van Bruggen, Ellen Rusman, Bas Giesbers, Rob K...
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...