Abstract. Bayesian reinforcement learning (RL) is aimed at making more efficient use of data samples, but typically uses significantly more computation. For discrete Markov Decis...
Dialog boxes that collect parameters for commands often create ephemeral, unnatural interruptions of a program’s normal execution flow, encouraging the user to complete the dial...
Dennis Quan, David Huynh, David R. Karger, Robert ...
We present a novel method for the automatic generalization of land cover maps. A land cover map is composed of areas that collectively form a tessellation of the plane and each ar...
The fth release of the multithreaded language Cilk uses a provably good \work-stealing" scheduling algorithm similar to the rst system, but the language has been completely r...
Matteo Frigo, Charles E. Leiserson, Keith H. Randa...
This paper proposes a multiple instance learning (MIL) algorithm for Gaussian processes (GP). The GP-MIL model inherits two crucial benefits from GP: (i) a principle manner of lea...