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...
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...
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...
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, ...
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...