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ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
14 years 1 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
ECCV
2006
Springer
14 years 10 months ago
Example Based Non-rigid Shape Detection
Since it is hard to handcraft the prior knowledge in a shape detection framework, machine learning methods are preferred to exploit the expert annotation of the target shape in a d...
Yefeng Zheng, Xiang Sean Zhou, Bogdan Georgescu, S...
BMCBI
2010
121views more  BMCBI 2010»
13 years 9 months ago
MS4 - Multi-Scale Selector of Sequence Signatures: An alignment-free method for classification of biological sequences
Background: While multiple alignment is the first step of usual classification schemes for biological sequences, alignment-free methods are being increasingly used as alternatives...
Eduardo Corel, Florian Pitschi, Ivan Laprevotte, G...
SMC
2007
IEEE
102views Control Systems» more  SMC 2007»
14 years 3 months ago
An improved immune Q-learning algorithm
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
JAIR
2007
141views more  JAIR 2007»
13 years 8 months ago
Bin Completion Algorithms for Multicontainer Packing, Knapsack, and Covering Problems
Many combinatorial optimization problems such as the bin packing and multiple knapsack problems involve assigning a set of discrete objects to multiple containers. These problems ...
Alex S. Fukunaga, Richard E. Korf