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LATIN
2000
Springer
14 years 15 days ago
Approximation Algorithms for Flexible Job Shop Problems
The Flexible Job Shop problem is a generalization of the classical job shop scheduling problem in which for every operation there is a group of machines that can process it. The p...
Klaus Jansen, Monaldo Mastrolilli, Roberto Solis-O...
AAAI
2011
12 years 9 months ago
Value Function Approximation in Reinforcement Learning Using the Fourier Basis
We describe the Fourier Basis, a linear value function approximation scheme based on the Fourier Series. We empirically evaluate its properties, and demonstrate that it performs w...
George Konidaris, Sarah Osentoski, Philip Thomas
ESA
2006
Springer
118views Algorithms» more  ESA 2006»
14 years 18 days ago
Subspace Sampling and Relative-Error Matrix Approximation: Column-Row-Based Methods
Much recent work in the theoretical computer science, linear algebra, and machine learning has considered matrix decompositions of the following form: given an m
Petros Drineas, Michael W. Mahoney, S. Muthukrishn...
TIME
2002
IEEE
14 years 1 months ago
A Logical Approach to Represent and Reason about Calendars
In this paper, we propose a logical approach to represent and reason about different time granularities. We identify a time granularity as a discrete infinite sequence of time po...
Carlo Combi, Massimo Franceschet, Adriano Peron
LICS
1990
IEEE
14 years 29 days ago
Normal Process Representatives
This paper discusses the relevance of a form of cut elimination theorem for linear logic tensor theories to the concept of a process on a Petri net. We base our discussion on two ...
Vijay Gehlot, Carl A. Gunter