Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
—We present an algorithm that finds the rotation which best aligns a given configuration of directions on an unsorted set of directions. Using a cost function that we derive in...
Benjamin Huhle, Timo Schairer, Andreas Schilling, ...
Abstract— Thorup and Zwick, in their seminal work, introduced the approximate distance oracle, which is a data structure that answers distance queries in a graph. For any integer...
—We consider a multiarmed bandit problem where the expected reward of each arm is a linear function of an unknown scalar with a prior distribution. The objective is to choose a s...
Adam J. Mersereau, Paat Rusmevichientong, John N. ...
—Designers of TCAMs (ternary CAMs) for packet classification often have to deal with unpredictable sets of rules. These result in highly variable rule expansions, and can only r...