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» Challenges for Constraint Programming in Networking
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98
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ICML
2008
IEEE
16 years 1 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
87
Voted
ICDE
2010
IEEE
221views Database» more  ICDE 2010»
15 years 25 days ago
A generic auto-provisioning framework for cloud databases
— We discuss the problem of resource provisioning for database management systems operating on top of an Infrastructure-As-A-Service (IaaS) cloud. To solve this problem, we descr...
Jennie Rogers, Olga Papaemmanouil, Ugur Çet...
91
Voted
BIOINFORMATICS
2007
76views more  BIOINFORMATICS 2007»
15 years 23 days ago
Optimization of primer design for the detection of variable genomic lesions in cancer
Primer approximation multiplex PCR (PAMP) is a new experimental protocol for efficiently assaying structural variation in genomes. PAMP is particularly suited to cancer genomes w...
Ali Bashir, Yu-Tsueng Liu, Benjamin J. Raphael, De...
100
Voted
EOR
2008
133views more  EOR 2008»
15 years 22 days ago
Investigating a hybrid simulated annealing and local search algorithm for constrained optimization
Constrained Optimization Problems (COP) often take place in many practical applications such as kinematics, chemical process optimization, power systems and so on. These problems ...
Chandra Sekhar Pedamallu, Linet Özdamar
ICRA
1998
IEEE
142views Robotics» more  ICRA 1998»
15 years 4 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