Results 281 to 290 of about 386,074 (314)
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On the errors that learning machines will make

International Journal of Intelligent Systems, 1994
Associated with each learning system there is a class of learnable behaviors. If the target behavior to be acquired is in the learnable class, it will be learned perfectly. If it is outside that class, the machine will only be able to acquire a behavior that approximates the target and it will always make errors.
Alan W. Biermann   +3 more
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The importance of learning from errors

Veterinary Record, 2017
For most people, making an error at work – even a serious one – is something they can put behind them relatively easily. For vets, though, the stakes are high and a serious mistake can cause them emotional distress some time – even years – after the event. This side effect is known as ‘second victim syndrome’.
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Errors and Learning from Errors at Work

2012
To understand what constitutes errors at work and, in particular, how productive learning might arise from those errors, it is necessary to go beyond viewing errors as only objective social facts. That is, only considering errors from the perspective of observable shortfalls in performance, as judged by others. Instead, it is neces-sary to also account
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On the Role of Error in Motor Learning

Journal of Motor Behavior, 2015
The authors report 5 experiments that explored the role of error in motor learning. Participants practiced 4 distinct keypress sequences that varied in the amounts of advance information (i.e., choice) about which key to press next in the sequence. The amount of advance information resulted in differing levels of error during practice, which in general,
Timothy D, Lee   +5 more
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THE ROLE OF ERRORS IN LEARNING WITH FEEDBACK

British Journal of Educational Psychology, 1966
S ummary . The extent to which errors interfere with efficient learning was examined in two experiments in which punchboards were used to provide immediate feedback.
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Feedback Error Learning with insufficient excitation

2008 47th IEEE Conference on Decision and Control, 2008
Control-theoretical studies on feedback error learning (FEL) have been active recently. The authors generalized this scheme to multi-input multi-output (MIMO) systems with application to writing one-stroke characters by a two-link manipulator.
Kenji Sugimoto   +2 more
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Learning from Errors in Aviation

2001
The most important lesson learned in the history of aviation is the following, “The total elimination of human error is an unrealistic goal, since errors are a normal part of human behaviour” (ICAO Circular 238-AN/143).
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Trial-and-error correlation learning

IEEE Transactions on Neural Networks, 1993
A new learning architecture is proposed for hardware implementation of neural networks. In this architecture, each synaptic weight is intentionally changed for each trial and then modified in proportion to the trial-and-error correlation between the changes in the weight and the total output error.
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Learning with Errors over Rings

2010
The “learning with errors” (LWE) problem is to distinguish random linear equations, which have been perturbed by a small amount of noise, from truly uniform ones. The problem has been shown to be as hard as worst-case lattice problems, and in recent years it has served as the foundation for a plethora of cryptographic applications.
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Analysis of Error Terms of Signatures Based on Learning with Errors

2017
Lyubashevsky proposed a lattice-based digital signature scheme based on short integer solution SIS problem without using trapdoor matrices [12]. Bai and Galbraith showed that the hard problem in Lyubashevsky's scheme can be changed from SIS to SIS and learning with errors LWE [4]. Using this change, they could compress the signatures.
Jeongsu Kim   +6 more
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