JOG
发表于 2025-3-26 22:30:26
https://doi.org/10.1007/978-3-319-11656-3classification; feature selection; information extraction; kernel methods; learning algorithms; machine l
锡箔纸
发表于 2025-3-27 03:15:59
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考博
发表于 2025-3-27 05:20:08
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定点
发表于 2025-3-27 11:55:32
https://doi.org/10.1007/978-3-030-00051-6In this paper we investigate reinforcement learning approaches for the popular computer game .. User-defined reward functions have been applied to .(0) learning based on .-greedy strategies in the standard Tetris scenario. The numerical experiments show that reinforcement learning can significantly outperform agents utilizing fixed policies.
MAPLE
发表于 2025-3-27 14:11:35
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CHOIR
发表于 2025-3-27 18:49:08
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/b/image/162685.jpg
晚来的提名
发表于 2025-3-28 01:51:56
Artificial Neural Networks in Pattern Recognition978-3-319-11656-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
Aboveboard
发表于 2025-3-28 02:58:30
Large Margin Distribution Learninghe . is a fundamental issue of SVMs, whereas recently the margin theory for Boosting has been defended, establishing a connection between these two mainstream approaches. The recent theoretical results disclosed that the . rather than a single margin is really crucial for the generalization performa
羞辱
发表于 2025-3-28 06:34:48
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确定无疑
发表于 2025-3-28 11:44:00
Unsupervised Active Learning of CRF Model for Cross-Lingual Named Entity Recognitionformation extraction systems. Active learning has been proven to be effective in reducing manual annotation efforts for supervised learning tasks where a human judge is asked to annotate the most informative examples with respect to a given model. However, in most cases reliable human judges are not