Neighbor search is a fundamental task in machine learning, especially in classification and retrieval. Efficient nearest neighbor search methods have been widely studied, with the...
The standard model of supervised learning assumes that training and test data are drawn from the same underlying distribution. This paper explores an application in which a second...
Markov networks are extensively used to model complex sequential, spatial, and relational interactions in fields as diverse as image processing, natural language analysis, and bio...
Benjamin Taskar, Vassil Chatalbashev, Daphne Kolle...
This paper presents a guided tour system for the WWW. It is a module for the Webvise open hypermedia system that implements the ideas of trails and guided tours, originating from ...
Functional programming languages ought to play a central role in mathematics education for middle schools (age range: 10?14). After all, functional programming is a form of algebr...
Matthias Felleisen, Robert Bruce Findler, Matthew ...