Online neural monitoring of statistical learning
نویسندگان
چکیده
منابع مشابه
Online neural monitoring of statistical learning.
The extraction of patterns in the environment plays a critical role in many types of human learning, from motor skills to language acquisition. This process is known as statistical learning. Here we propose that statistical learning has two dissociable components: (1) perceptual binding of individual stimulus units into integrated composites and (2) storing those integrated representations for ...
متن کاملOnline learning neural tracker
Object tracking is a fundamental computer vision problem and is required for many high-level tasks such as activity recognition, behavior analysis and surveillance. The main challenge in the object tracking problem is the dynamic change in object/background appearance, illumination, shape and occlusion. We present an online learning neural tracker (OLNT) to differentiate the object from the bac...
متن کاملStatistical Monitoring of Rare Events in Healthcare
There are miscellaneous quality characteristics in healthcare which are interested to be monitored. However, monitoring each characteristic needs a special statistical method. There are some characteristics with very small incidence rates that it’s usually considered not to be necessary to monitoring them, since their incidence rates are so small that p and np charts are not able to monitor t...
متن کاملFast rates in statistical and online learning
The speed with which a learning algorithm converges as it is presented with more data is a central problem in machine learning — a fast rate of convergence means less data is needed for the same level of performance. The pursuit of fast rates in online and statistical learning has led to the discovery of many conditions in learning theory under which fast learning is possible. We show that most...
متن کاملOnline and Statistical Learning in Networks
ONLINE AND STATISTICAL LEARNING IN NETWORKS Shahin Shahrampour Ali Jadbabaie Alexander Rakhlin Learning, prediction and identification has been a main topic of interest in science and engineering for many years. Common in all these problems is an agent that receives the data to perform prediction and identification procedures. The agent might process the data individually, or might interact in ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Cortex
سال: 2017
ISSN: 0010-9452
DOI: 10.1016/j.cortex.2017.02.004