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HYBRID
2010
Springer
15 years 9 months ago
Real-time scheduling of mixture-of-experts systems with limited resources
Mixture-of-Experts (MoE) systems solve intricate problems by combining results generated independently by multiple computational models (the “experts”). Given an instance of a...
Prapaporn Rattanatamrong, José A. B. Fortes
133
Voted
ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 6 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
152
Voted
MM
2006
ACM
189views Multimedia» more  MM 2006»
15 years 8 months ago
Real-time computerized annotation of pictures
Automated annotation of digital pictures has been a highly challenging problem for computer scientists since the invention of computers. The capability of annotating pictures by c...
Jia Li, James Ze Wang
CDC
2009
IEEE
124views Control Systems» more  CDC 2009»
15 years 3 months ago
Inverse modeling for open boundary conditions in channel network
Abstract-- An inverse modeling problem for systems governed by first-order, hyperbolic partial differential equations subject to periodic forcing is investigated. The problem is de...
Qingfang Wu, Mohammad Rafiee, Andrew Tinka, Alexan...
SIGSOFT
2004
ACM
16 years 3 months ago
Efficient incremental algorithms for dynamic detection of likely invariants
Dynamic detection of likely invariants is a program analysis that generalizes over observed values to hypothesize program properties. The reported program properties are a set of ...
Jeff H. Perkins, Michael D. Ernst