Large scale multi-agent systems (MASs) in unpredictable environments must use machine learning techniques to perform their goals and improve the performance of the system. This pap...
The main topic addressed in this paper is how to help a learner plan a navigation path in self-directed learning on the Web. Our approach to this issue is to analyze the open-ende...
Getting students to collaborate on group projects in a face-to-face scenario can be difficult enough -- but how does one approach collaborative projects in a Web-based environment...
We study the problem of learning parity functions that depend on at most k variables (kparities) attribute-efficiently in the mistake-bound model. We design a simple, deterministi...
Recent research has seen the proposal of several new inductive principles designed specifically to avoid the problems associated with maximum likelihood learning in models with in...
Benjamin Marlin, Kevin Swersky, Bo Chen, Nando de ...