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When the adaptive learning starts? 


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Adaptive learning initiates when a problem description is provided by the user, which includes non-tokenized text and is searched character-by-character against a unique keyword data structure for user-defined keywords . Additionally, in an adaptive integration network, learning is induced by increasing the activity of interconnected neurons, such as by lowering the threshold level, leading to adaptive learning . Moreover, an adaptive learning unit automatically adapts models of stored utterances based on recognition hypotheses selected and weighted according to quality, quantity, and age, in response to user interaction . Therefore, adaptive learning commences when user input triggers the system to search for relevant keywords, adjust network activity, and adapt recognition models, as outlined in the various research contexts.

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Adaptive learning in language models for speech recognition starts automatically in response to user interactions, adjusting stored utterances based on quality, quantity, and age of recognition hypotheses.
Patent
Kerry Robinson, David Horowitz 
06 Nov 2002
4 Citations
The adaptive learning in speech recognition starts automatically in response to user interactions, adjusting models based on quality, quantity, and age of recognition hypotheses.
Adaptive learning starts in the neural network when the activity is increased, typically by lowering the threshold level, inducing adaptive changes in the network's connections.
Adaptive learning, utilizing past rewards to predict future behavior, initiates in large populations for behavior selection in symmetric conflict games, as discussed by Harley in 1981.
Adaptive learning starts when a problem description, potentially containing non-tokenized text, is received and searched character-by-character against a unique keyword data structure for user-defined keywords.

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