Results 21 to 30 of about 2,516,559 (186)
Feature Learning Viewpoint of Adaboost and a New Algorithm
IEEE Access, 2019 The AdaBoost algorithm has the superiority of resisting overfitting. Understanding the mysteries of this phenomenon is a very fascinating fundamental theoretical problem.
Fei Wang +5 more
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Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation [PDF]
, 2014 Unlike unsupervised approaches such as autoencoders that learn to reconstruct their inputs, this paper introduces an alternative approach to unsupervised feature learning called divergent discriminative feature accumulation (DDFA) that instead ...
Morse, Gregory +3 more
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Energies, 2017 The process of modernizing smart grid prominently increases the complexity and uncertainty in scheduling and operation of power systems, and, in order to develop a more reliable, flexible, efficient and resilient grid, electrical load forecasting is not ...
Yunxuan Dong +3 more
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IEEE Access, 2020 The deep belief network is widely used in fault diagnosis and health management of rotating machinery. However, on the one hand, deep belief networks only tend to focus on the global information of bearing vibration, ignoring local information.
Chao Zhang +5 more
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Multi-branch feature learning based speech emotion recognition using SCAR-NET
Connection Science, 2023 Speech emotion recognition (SER) is an active research area in affective computing. Recognizing emotions from speech signals helps to assess human behaviour, which has promising applications in the area of human-computer interaction.
Keji Mao +5 more
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Chronos Journal, 2020 This article is about home schooling. The article will be interesting for both teachers and parents. The main provisions of the term “home schooling” were highlighted in this acticle, positive and negative traits were identified, as well as possible difficulties.
A.B. Bratchikova +2 more
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A Low-Light Sensor Image Enhancement Algorithm Based on HSI Color Model
Sensors, 2018 Images captured by sensors in unpleasant environment like low illumination condition are usually degraded, which means low visibility, low brightness, and low contrast.
Shiping Ma +5 more
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Deep Cross-Corpus Speech Emotion Recognition: Recent Advances and Perspectives
Frontiers in Neurorobotics, 2021 Automatic speech emotion recognition (SER) is a challenging component of human-computer interaction (HCI). Existing literatures mainly focus on evaluating the SER performance by means of training and testing on a single corpus with a single language ...
Shiqing Zhang +4 more
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Feature Reinforcement Learning: Part I: Unstructured MDPs [PDF]
, 2009 General-purpose, intelligent, learning agents cycle through sequences of observations, actions, and rewards that are complex, uncertain, unknown, and non-Markovian. On the other hand, reinforcement learning is well-developed for small finite state Markov
Hutter, Marcus
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Faithful Contrastive Features in Learning [PDF]
Cognitive Science, 2006 AbstractThis article pursues the idea of inferring aspects of phonological underlying forms directly from surface contrasts by looking at optimality theoretic linguistic systems (Prince & Smolensky, 1993/2004). The main result proves that linguistic systems satisfying certain conditions have the faithful contrastive feature property: Whenever 2 ...
openaire +2 more sources