Moreover, unlike traditional rule-based models,5 machine learning methods are flexible in the face of new data, as these methods can tune and update the parameters that govern the classification algorithm based on the added data. Thus, machine learning methods are well suited for use in the ...
* `setCudaCudnnConvUseMaxWorkspace` - Amount of memory to use when querying `cuDNN` to find the most optimal convolution algorithm. Lower value will result in sub-optimal querying and higher value will lead to higher peak memory usage. For more details, check [here](https://onnxruntime....
LearningMasteringAlgorithms-C -《算法精解:C语言描述》源码及Xcode工程、Linux工程. Changeset - Minimal edits from one collection to another 🔶 Brick - 💧 A generic view model for both basic and complex scenarios 🔶 Algorithm - Algorithm is a collection of data structures that are empowered ...
Nevertheless, this method is difficult for real implementation and the SVD algorithm is unsuitable in AF. Contribution. In this paper, we design an entire procedure for recognition of signal types, including AF feature extraction and automatic estimation for signal type number, to improve correct ...
Matzner, R. (1993). An SNR estimation algorithm for complex baseband signals using higher order statistics.Facta Universitatis (Nis),6(1), 41–52. Google Scholar Brandăo, A. L., Lopes, L. B., McLernon, D. C. (1994). In-service monitoring of multipath delay and cochannel interferen...
(2015). OSIC-based SD MIMO detection algorithm for LTE-A downlink physical layer. Springer Wireless Personal Communications, 80(2), 751–768. Article Google Scholar Ghosh, A., Ratasuk, R., Mondal, B., Mangalvedhe, N., & Thomas, T. (2010). LTE-advanced: Next-generation wireless ...
This study proposes developing a resilient machine learning algorithm based on neural networks to classify naval images used in surveillance, search, and detection operations in vast coastal and marine environments. Coastal areas critical for water resource management often face challenges such as illegal...
We used Python 3.6 and the open-source deep learning framework PyTorch for the experiments in this paper. The optimization algorithm we adopted is the random gradient descent algorithm with momentum equal to 0.9 and weight attenuation equal to 0.0005. In order to train the proposed model on both...
relevance using a logistic function and constructs a cross-entropy cost function. The LambdaRank algorithm extends the idea of pairwise learning to optimize the NDCG metric and can be combined with various machine learning algorith...
Linear algebra; Complex analysis; Quantum mechanics; Algorithm 课程编号:2022SP-11 Deformation theory of complex manifolds via DGLA 复流形DGLA形变理论 任课教师 胡创强 时间Tue. Thu. 13:30-15:05 地点1120 Zoom388 528 9728(密码BIMSA) 是否提供录像 Y ...