combining the classical and independent log-linear learning updates with an on-policy value iteration update for efficient learning in stochastic games. We... Sayin, Muhammed O.,Unlu, Onur 被引量: 0发表: 2023年 Best Practices in the use of Managerial Simulation Games-Based Learning Computer sim...
同时,我们还仔细研读了CVPR2022的一系列半监督目标检测工作,其中两篇关键论文加速了我们的研究进度,一篇是来自阿里达摩院的《Dense Learning based Semi-Supervised Object Detection》,一篇是来自海康研究院的《Label Matching Semi-Supervised Object Detection》。这两篇论文不仅有扎实的理论阐述,还提供了优雅、可读性高的...
We report the Negative Log-Likelihood (NLL) reached by a model on held-out data, the results of A/B comparison tests between a pair of models as rated by human listeners and Mean Opinion Scores (MOS) for the samples of a model.
2015-INTERSPEECH-A Diversity-Penalizing Ensemble Training Method for Deep Learning 2015-BMVC-Data-free parameter pruning for deep neural networks 2015-BMVC-Learning the structure of deep architectures using l1 regularization 2015-NIPS-Learning both Weights and Connections for Efficient Neural Network 2015-...
http://www.machinedlearnings.com/2011/06/fast-approximate-logarithm-exponential.htmlan interesting approach: it type-puns afloattouint32_t, andconverts that integer tofloat. Since IEEE binary32 floats store the exponent in higher bits than the mantissa, the resultingfloatmostly represents the value...
Memristors with tunable resistance states are emerging building blocks of artificial neural networks. However, in situ learning on a large-scale multiple-layer memristor network has yet to be demonstrated because of challenges in device property engineer
The influence of machine learning classification techniques is leveraged in order to efficiently classify the log data before it is processed. Progressively the log data integrity is maintained through the proposed Propagated Chain of Log Blocks (PCLB), the Hybrid Vector Committed BST (HVCBST) and...
Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training datasets with high-quality manual annotations, which are difficult to obt
Dusenberry M, Jerfel G, Wen Y, et al. Efficient and scalable bayesian neural nets with rank-1 factors[C]//International conference on machine learning. PMLR, 2020: 2782-2792. 摘要 贝叶斯神经网络(BNN…
Like I said, this will hardly be a Sims level simulation. I believe it will barely reach "acceptable freeware" level, it is simply a learning exercise and something to keep my skills up during a break. The basic premise is that a generic person is created. No name, height or anything ...