This paper analyzes the potential advantages and theoretical challenges of “active learning” algorithms. Active learning involves sequential sampling procedures that use infor...
Games via Three-Valued Abstraction Refinement Luca de Alfaro, Pritam Roy PII: S0890-5401(10)00018-0 DOI: 10.1016/j.ic.2009.05.007 Reference: YINCO 3711 To appear in: Information an...
Ground reaction forces generated during normal walking have recently been used to identify and/or classify individuals based upon the pattern of the forces observed over time. One ...
The goal in domain adaptation is to train a model using labeled data sampled from a domain different from the target domain on which the model will be deployed. We exploit unlabel...
We introduce a new abstract system, called the truth system. In the truth system, a process deduces a true value, with high probability, from an incoming stream of both true and fa...