We further study the pre-training effect using pseudo-labeled data with a different probability, and give some advice for practical application. Moreover, we propose to train GPC with stratified sampled data (SGPC) to reduce the computation time of GPC when there are large amounts of data. ...
Training SequenceDetection ProblemMachine Learning ApproachWe propose Gaussian processes (GPs) as a novel nonlinear receiver for digital communication systems. The GPs framework can be used to solve both classification (GPC) and regression (GPR) problems. The minimum mean squared error solution is the...
Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK Anubha Mahajan, Laura Wittemans & Mark I McCarthy International Center for Research and Research Training in Endocrine Disruption of Male Reproduction and Child Health, University of Copenhagen, Copenhagen, Denmark ...
forepoch in range(gpc.config.NUM_EPOCHS):engine.train()ifgpc.get_global_rank() == 0:train_dl=tqdm(train_dataloader)else:train_dl=train_dataloaderforimg, label in train_dl:img=img.cuda()label=label.cuda()engine.zero_grad()output=engine(img)train_loss=engine.criterion(output, label)engine...
GPC curve of P1 showed a Conclusions We have demonstrated the synthesis of hyperbranced-linear star block copolymers, HBPS-b-PSt, by ATRP of styrene using bromoester-terminated hyperbranched polysiloxysilane (HBPS) as a macroinitiator. This macroinitiator was synthesized in three steps, starting...
FIG. 34 illustrates a general processing cluster (“GPC”), according to at least one embodiment; FIG. 35 illustrates a memory partition unit of a parallel processing unit (“PPU”), according to at least one embodiment; FIG. 36 illustrates a streaming multi-processor, according to at least...
(2) for length of sport pole (1) the control center (2) monitors the user's location received information at GPC receiver (9) and with the assistance of a topographical map is able to consider the factors affecting the pole inclination range due to ground inclination; if the inclination ...
In recent years, several advanced nonlinear estimation techniques have been proposed for uncertainty analysis and state estimation of hypersonic entry vehicles. The generalized polynomial chaos (gPC) [2] is one of the successful methods applied to the problem of hypersonic vehicle estimation [3], [4...
In the quest for sustainable construction practices, researchers have been exploring alternative materials that can reduce the reliance on traditional cement in concrete production. Geopolymer concrete (GPC) has surfaced as a promising alternative due to its potential ecological benefits. The formulation ...
Second, we evaluated the prediction performance of the BChemRF-CPPred and its classifiers an ANN, GPC, and SVM using tenfold cross-validation in the training dataset (Fig.1). The hyper-parameters of each classifier by FC are listed in TableS3. ...