PhD Seminar • Artificial Intelligence — Discriminative Training of Sum-Product Networks by Extended Baum-Welch
Abdullah Rashwan, PhD candidate
David R. Cheriton School of Computer Science
Abdullah Rashwan, PhD candidate
David R. Cheriton School of Computer Science
Pak Hay Chan, Master’s candidate
David R. Cheriton School of Computer Science
We consider a new problem of designing a network with small $s$-$t$ effective resistance. In this problem, we are given an undirected graph $G=(V,E)$ where each edge $e$ has a cost $c_e$ and a resistance $r_e$, two designated vertices $s,t \in V$, and a cost budget $k$.
Taylor Hornby, Master’s candidate
David R. Cheriton School of Computer Science
This thesis contributes to two areas. The first is the study of parallel repetition theorems and concentration bounds for nonlocal games and quantum interactive proofs.
We make the following contributions:
Saman Barghi, PhD candidate
David R. Cheriton School of Computer Science
Ellen Arteca, Master’s candidate
David R. Cheriton School of Computer Science
Finn Lidbetter, Master’s candidate
David R. Cheriton School of Computer Science
Let x and y be words. We consider the languages whose words z are those for which the numbers of occurrences of x and y, as subwords of z, are the same (resp., the number of x's is less than the number of y's, resp., is less than or equal). In this talk we will give a necessary and sufficient condition on x and y for these languages to be regular, and we show how to check this condition efficiently.
Ricardo Salmon, PhD candidate
David R. Cheriton School of Computer Science
Matthew Amy, PhD candidate
David R. Cheriton School of Computer Science
Angshuman Ghosh, Master’s candidate
David R. Cheriton School of Computer Science
Filip Pawlega, Master’s candidate
David R. Cheriton School of Computer Science