abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
The application of software engineering approaches to generate learning material adapted to a specific instructional purpose presents some issues: of different models, different a...
d Abstract) Richard J. Anderson Paul Beame Walter L. Ruzzo Department of Computer Science and Engineering University of Washingtoni We introduce a task scheduling model which is u...
We present black-box techniques for learning how to interleave the execution of multiple heuristics in order to improve average-case performance. In our model, a user is given a s...
Matthew J. Streeter, Daniel Golovin, Stephen F. Sm...
Abstract. In this paper we investigate methods for analyzing the expected value of adding information in distributed task scheduling problems. As scheduling problems are NP-complet...