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CP
2009
Springer
15 years 9 months ago
Why Cumulative Decomposition Is Not as Bad as It Sounds
Abstract. The global cumulative constraint was proposed for modelling cumulative resources in scheduling problems for finite domain (FD) propagation. Since that time a great deal ...
Andreas Schutt, Thibaut Feydy, Peter J. Stuckey, M...
WCNC
2008
IEEE
15 years 8 months ago
Connectivity-Aware Network Maintenance via Relays Deployment
— In this paper, we address the network maintenance problem, in which we aim to maximize the lifetime of a sensor network by adding a set of relays to it. The network lifetime is...
Ahmed S. Ibrahim, Karim G. Seddik, K. J. Ray Liu
CP
1997
Springer
15 years 6 months ago
Ordering Constraints over Feature Trees
Feature trees have been used to accommodate records in constraint programming and record like structures in computational linguistics. Feature trees model records, and feature cons...
Martin Müller, Joachim Niehren, Andreas Podel...
134
Voted
ICML
1996
IEEE
15 years 6 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos
130
Voted
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 4 months ago
Learning incoherent sparse and low-rank patterns from multiple tasks
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
Jianhui Chen, Ji Liu, Jieping Ye