Within a group of peers, it is often useful or interesting to know whether someone in the group has gone to bed or whether they have awakened in the morning. This information, nat...
Sunyoung Kim, Julie A. Kientz, Shwetak N. Patel, G...
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
We present a new family of linear time algorithms based on sufficient statistics for string comparison with mismatches under the string kernels framework. Our algorithms improve t...
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...