辩论
发表于 2025-4-1 02:14:49
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碌碌之人
发表于 2025-4-1 06:31:40
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palpitate
发表于 2025-4-1 12:47:55
Mels V. Belubekyan,Vagharshak M. Belubekyaning method of discovering subspace structures of data. Graph regularized sparse coding has been extensively studied for keeping the locality of the high-dimensional observations. However, in practice, data is always corrupted by noises such that samples from the same class may not inhabit the neares
Keratin
发表于 2025-4-1 14:19:06
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Flagging
发表于 2025-4-1 22:32:58
Vladimir M. Zotov,Vitaly V. Popuzin,Alexander E. Tarasovfor pruning algorithms. According to this idea, we propose a pruning thought—.. We can combine . with almost all existing pruning algorithms. Compared with the original pruning algorithms based on a large number of pre-training, the modified algorithms (by .) has competitive compression effect. On t
可转变
发表于 2025-4-2 01:17:03
Mels V. Belubekyan,Vagharshak M. Belubekyan the correlations of heterogeneous data for cross-media retrieval is a challenging problem. In order to handle with multiple media types, this paper proposes a novel distance-preserving correlation learning and multi-modal manifold regularization (DCLMM) approach to exploit the common representation
不可思议
发表于 2025-4-2 04:01:20
Roman A. Gerasimov,Tatiana O. Petrova,Victor A. Eremeyev,Andrei V. Maximov,Olga G. Maximovafor conventional text. We introduce a POS tagging model that takes advantages of deep learning and manually engineered features to overcome the challenges of the task. The main part of the model consists of several bidirectional long short-term memory (BiLSTM) layers that are used to learn intermedi
禁止,切断
发表于 2025-4-2 07:34:19
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争论
发表于 2025-4-2 11:51:02
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Accessible
发表于 2025-4-2 18:42:39
G. Iovane,A. V. Nasedkintime series based on predicted results of the sentiment classifiers, which may not correspond to the actual values due to the lack of labeled data or the limited performance of the classifier. To alleviate this problem, we propose a calibrated-based method to generate time series composed of accurat