There is currently much interest in using external memory, such as disk storage, to scale up graph-search algorithms. Recent work shows that the local structure of a graph can be ...
Nowadays, people tend to learn from the Web because it is convenient, and rich of free information. The main means of learning on the Web is by submitting a query to a search engi...
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Abstract. We introduce a nonparametric model for sensitivity estimation which relies on generating points similar to the prediction point using its k nearest neighbors. Unlike most...
Despite its simplicity, the naive Bayes classifier has surprised machine learning researchers by exhibiting good performance on a variety of learning problems. Encouraged by thes...