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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
13 years 12 months ago
Lagrangian Relaxation Neural Networks for Job Shop Scheduling
Abstract--Manufacturing scheduling is an important but difficult task. In order to effectively solve such combinatorial optimization problems, this paper presents a novel Lagrangia...
Peter B. Luh, Xing Zhao, Yajun Wang
KDD
2001
ACM
192views Data Mining» more  KDD 2001»
14 years 8 months ago
Data mining with sparse grids using simplicial basis functions
Recently we presented a new approach [18] to the classification problem arising in data mining. It is based on the regularization network approach but, in contrast to other method...
Jochen Garcke, Michael Griebel
COMPUTER
2007
153views more  COMPUTER 2007»
13 years 7 months ago
The Discipline of Embedded Systems Design
ems, using abstractions that actually remove physical constraints from consideration. At the other, embedded systems design goes beyond the traditional expertise of electrical engi...
Thomas A. Henzinger, Joseph Sifakis
INFOCOM
1997
IEEE
13 years 12 months ago
Restoration Strategies and Spare Capacity Requirements in Self-Healing ATM Networks
—This paper studies the capacity and flow assignment problem arising in the design of self-healing asynchronous transfer mode (ATM) networks using the virtual path concept. The ...
Yijun Xiong, Lorne Mason
GECCO
2007
Springer
217views Optimization» more  GECCO 2007»
13 years 9 months ago
A quantitative analysis of memory requirement and generalization performance for robotic tasks
In autonomous agent systems, memory is an important element to handle agent behaviors appropriately. We present the analysis of memory requirements for robotic tasks including wal...
DaeEun Kim