Optimal Bayesian sparsity threshold selection. by Jarod Smith (11999040)

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

Subjects:

Simulation of realistic, wavelength- and time-dependent noise for an absorption kinetic experiment on a bR sample. by László Zimányi (2649973)

Number of samples and sample usage for each site. by Jibo Zhang (38440)

Data Sheet 1_Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems.pdf by Eric Yanchenko (3266514)

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. by Cai Yuanqing (22513351)

Bayesian network for BMV_OD model. by Xinchi Dong (18554525)

“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”

Bayesian network for BMV_C1 model. by Xinchi Dong (18554525)

“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”

Bayesian network for BMV_C3 model. by Xinchi Dong (18554525)

“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”

Bayesian network for BMV_C2 model. by Xinchi Dong (18554525)

“…Subsequently, Bayesian Network (BN) structure learning algorithms were utilized to construct 32 BN models after pairing the accident data from the four accident cluster types before and after sampling. …”

Distribution of accident categories before and after sampling. by Xinchi Dong (18554525)

Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics by Rama K. Vasudevan (1612174)

Subjects:

Action potential of sample points in model 1. by Hang Zhao (143592)

Action potential of sample points in model 2. by Hang Zhao (143592)

Action potential of sample points in model 0. by Hang Zhao (143592)

BGCN optimization framework. by Shuhui Luo (19173211)

TSEC: A Framework for Online Experimentation under Experimental Constraints by Simon Mak (3817885)

“…<p>Thompson sampling is a popular algorithm for tackling multi-armed bandit problems, and has been applied in a wide range of applications, from website design to portfolio optimization. …”

Event-driven data flow processing. by Yixian Wen (12201388)

“…Subsequently, we implement an optimal binary tree decision-making algorithm, grounded in dynamic programming, to achieve precise allocation of elastic resources within data streams, significantly bolstering resource utilization. …”

The Block-Poisson Estimator for Optimally Tuned Exact Subsampling MCMC by Matias Quiroz (4962928)