Many approaches to active learning involve periodically training one classifier and choosing data points with the lowest confidence. An alternative approach is to periodically cho...
Genomics data has many properties that make it different from "typical" relational data. The presence of multi-valued attributes as well as the large number of null valu...
Amal Perera, Anne Denton, Pratap Kotala, William J...
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
We consider the problem of elastic matching of time series. We propose an algorithm that determines a subsequence of a target time series that best matches a query series. In the ...
Longin Jan Latecki, Vasileios Megalooikonomou, Qia...
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...