即时学习 (Just-In-Time Learning, JITL)，又称为局部加权学习 (Locally Weighted Learning, LWL)，是...
The invention discloses a JITL (just-in-time learning) based multi-model fusion modeling method adopting GPR (Gaussian process regression). The method is used for a complex and changeful multi-stage chemical process and is a multi-model strategy which is continuously updated online; a Gaussian ...
网络即时学习;适时学习;时的学习 网络释义
There are five parts to incorporating the Just-In-Time Learning model: one - recognizing that the textbook is dead, as students Just Google It, two - help students learn how to vet the information they find online, three - incorporate real-world problems and support creative student ideas, ...
即时学习算法-Just-In-Time-Learning 即时学习算法-Just-In-Time-Learning
Just-in-time Learning (JITL) is a soft sensor method to develop the corresponding local model for each query sample, which has strong adaptability. Aiming at the lack of feature information of dynamic law of chemical processes in similar samples, a JITL method based on two kinds of local sam...
We've explored how Just in Time Learning is transforming training in the modern workplace, adapting to rapid changes and the increasingly immediate demands of today's workers. With this model integrated into your training strategy, especially online, your company can not only enhance productivity an...
What is the Origin of the Just-in-Time Learning Theory? The origin of just-in-time learning is usually attributed to the Toyota car company. This Japanese company created a production system in which parts arrive at the warehouse exactly when they are ready to be distributed or “just in ...
From Information to Experience: Place-Based Augmented Reality Games as a Model for Learning in a Globally Networked Society Background/Context: New information technologies make information available just-in-time and on demand and are reshaping how we interact with information, ... S Kurt - 《Teac...
model, we typically only need to perform a small subset of all possible inference computations. Motivated by this, we introducejust-in-time learning, a framework for fast and flexible inference that learns to speed up inference at run-time. Through a series of experiments, we show how...