We present a simple, agnostic active learning algorithm that works for any hypothesis class of bounded VC dimension, and any data distribution. Our algorithm extends a scheme of C...
Many multi-agent systems seek to reconcile two apparently inconsistent constraints. The system’s overall objective is defined at a global level. However, the agents have only lo...
H. Van Dyke Parunak, Sven Brueckner, John A. Saute...
Identifying and controlling bias is a key problem in empirical sciences. Causal diagram theory provides graphical criteria for deciding whether and how causal effects can be iden...
Process variations have become a critical issue in performance verification of high-performance designs. We present a new, statistical timing analysis method that accounts for int...
The exponential growth of databases that contains biological information (such as protein and DNA data) demands great efforts to improve the performance of computational platforms...