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» Introduction to Randomized Algorithms
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109
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FGCS
2006
82views more  FGCS 2006»
15 years 3 months ago
PGGA: A predictable and grouped genetic algorithm for job scheduling
This paper presents a predictable and grouped genetic algorithm (PGGA) for job scheduling. The novelty of the PGGA is twofold: (1) a job workload estimati...
Maozhen Li, Bin Yu, Man Qi
CVPR
2011
IEEE
14 years 7 months ago
TaylorBoost: First and Second-order Boosting Algorithms with Explicit Margin Control
A new family of boosting algorithms, denoted TaylorBoost, is proposed. It supports any combination of loss function and first or second order optimization, and includes classical...
Mohammad Saberian, Hamed Masnadi-Shirazi, Nuno Vas...
109
Voted
CVPR
2006
IEEE
16 years 5 months ago
Quantitative Evaluation of Near Regular Texture Synthesis Algorithms
Near regular textures are pervasive in man-made and natural world. Their global regularity and local randomness pose new difficulties to the state of the art texture analysis and ...
Wen-Chieh Lin, James Hays, Chenyu Wu, Yanxi Liu, V...
RECOMB
2008
Springer
16 years 4 months ago
Algorithms for Exploring the Space of Gene Tree/Species Tree Reconciliations
We describe algorithms to explore the space of all possible reconciliations between a gene tree and a species tree. We propose an algorithm for generating a random reconciliation, ...
Jean-Philippe Doyon, Cedric Chauve, Sylvie Hamel
ICPP
2005
IEEE
15 years 9 months ago
A Task Duplication Based Scheduling Algorithm Using Partial Schedules
We propose a novel replication-based two-phase scheduling algorithm designed to achieve DAG scheduling with small makespans and high efficiency. In the first phase, the schedule...
Doruk Bozdag, Füsun Özgüner, Eylem ...