Novelty detection involves identifying novel patterns. They are not usually available during training. Even if they are, the data quantity imbalance leads to a low classification ...
Designing computer-based learning environments must account for the context in which activity occurs, the tasks that students perform, and the tools that facilitate these tasks. W...
This study proposed the multi-user G-Math PeerTutoring System for facilitating students' tutoring strategies in math learning in the remedial instruction. The G-Math Peer-Tut...
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...
We explore algorithms for learning classification procedures that attempt to minimize the cost of misclassifying examples. First, we consider inductive learning of classification ...
Michael J. Pazzani, Christopher J. Merz, Patrick M...