An algorithm is proposed to prune the prototype vectors (prototype selection) used in a nearest neighbor classifier so that a compact classifier can be obtained with similar or ev...
Case studies are widely used in business and medicine to help students learn from the successes and failures of practitioners in the field. This paper discusses the potential bene...
Kay A. Robbins, Catherine Sauls Key, Keith Dickins...
In this paper we report our research on building WebSail { an intelligent web search engine that is able to perform real-time adaptive learning. WebSail learns from the user'...
Zhixiang Chen, Xiannong Meng, Binhai Zhu, Richard ...
In an empirical study, we provided (or not) pairs of students working in a remote collaborative learning situation with a knowledge awareness tool that provided learner A with lear...
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...