Developing a learner model containing an accurate representation of a learner’s knowledge is made more difficult in distributed learning environments where the learner uses mult...
Christopher A. Brooks, Mike Winter, Jim E. Greer, ...
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
We propose a new service for building user-defined 3D anatomic structures on the Web. The Web server is connected to a data base storing more than 1000 3D anatomic models reconstr...
This paper addresses the recovery and the rollback problem in distributed collaborative transactions. We propose a solution to the problem in a generalized ARIES [9] framework. We...
Abstract. Leveraging the power of increasing amounts of data to analyze customer base for attracting and retaining the most valuable customers is a major problem facing companies i...
Zhiyuan Yao, Annika H. Holmbom, Tomas Eklund, Barb...