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Found 6 papers, 0 papers with code
Stable Relay Learning Optimization Approach for Fast Power System Production Cost Minimization Simulation
The proposed approach shows stable performance, reducing fluctuations by approximately 50% compared with IL.
SingAug: Data Augmentation for Singing Voice Synthesis with Cycle-consistent Training Strategy
Deep learning based singing voice synthesis (SVS) systems have been demonstrated to flexibly generate singing with better qualities, compared to conventional statistical parametric based methods.
A Granular Sieving Algorithm for Deterministic Global Optimization
With straightforward mathematical formulation applicable to both univariate and multivariate objective functions, the global minimum value and all the global minimizers are located through two decreasing sequences of compact sets in, respectively, the domain and range spaces.
A Bi-LSTM-RNN Model for Relation Classification Using Low-Cost Sequence Features
This model divides a sentence or text segment into five parts, namely two target entities and their three contexts.
