固定某物 发表于 2025-3-28 18:05:06
https://doi.org/10.1007/978-90-368-3041-6vantage of both methods. This paper proposes to obtain low-level feature representation feeding frame-level descriptor sequences to a Long Short-Term Memory (LSTM) network, combine the outcome with the Principal Component Analysis (PCA) representation of utterance-level features, and make the final prediction with a logistic regression classifier.Lumbar-Stenosis 发表于 2025-3-28 22:08:48
http://reply.papertrans.cn/17/1623/162256/162256_42.pngstressors 发表于 2025-3-29 01:13:48
http://reply.papertrans.cn/17/1623/162256/162256_43.png泄露 发表于 2025-3-29 07:00:19
Deep Learning for Acoustic Addressee Detection in Spoken Dialogue Systemslization to increase the training speed. A fully-connected neural network reaches an average recall of 0.78, a Long Short-Term Memory neural network shows an average recall of 0.65. Advantages and disadvantages of both architectures are provided for the particular task.Crumple 发表于 2025-3-29 09:20:25
Combined Feature Representation for Emotion Classification from Russian Speechvantage of both methods. This paper proposes to obtain low-level feature representation feeding frame-level descriptor sequences to a Long Short-Term Memory (LSTM) network, combine the outcome with the Principal Component Analysis (PCA) representation of utterance-level features, and make the final prediction with a logistic regression classifier.biopsy 发表于 2025-3-29 11:35:17
http://reply.papertrans.cn/17/1623/162256/162256_46.png装入胶囊 发表于 2025-3-29 18:10:18
Morpheme Level Word Embeddingriments. Firstly, we describe how to build morpheme extractor from prepared vocabularies. Our extractor reached 91% accuracy on the vocabularies of known morpheme segmentation. Secondly we show the way how it can be applied for NLP tasks, and then we discuss our results, pros and cons, and our future work.CAPE 发表于 2025-3-29 21:20:26
http://reply.papertrans.cn/17/1623/162256/162256_48.pngpericardium 发表于 2025-3-30 01:02:02
http://reply.papertrans.cn/17/1623/162256/162256_49.pngNomadic 发表于 2025-3-30 06:36:33
Tanmay,Lakshmi,Vijay Kumar Soni,Adarsh KumarFacebook status updates to extract interpretable features that we then use to identify Facebook users with certain negative psychological traits (the so-called Dark Triad: narcissism, psychopathy, and Machiavellianism) and to find the themes that are most important to such individuals.