منابع مشابه
Learning subject drift for topic tracking
For topic tracking where data is collected over an extended period of time, the discussion of a topic, i.e. the in a story changes over time. This paper focuses on subject drift and presents a method for topic tracking on broadcast news stories to handle subject drift. The basic idea is to automatically extract the optimal positive training data of the target topic so as to include only the dat...
متن کاملFlexible Learning in a Large Service Subject: A Multimodal Approach
There have been many excellent innovations in statistics teaching in recent years. However, the majority of these are very labour intensive and rarely scale up to larger class sizes. This paper presents a exible approach to teaching a large rst-year class, with the aims of improving statistical learning, providing exibility for a diverse student body, and reducing sta workload. This has been su...
متن کاملActive Learning for Classifying a Spectrally Variable Subject
Classifying Egeria densa, Brazilian waterweed, in scan-digitized color infrared (CIR) airphotos by automated methods presents a challenging problem due to a number of variable and unfavorable conditions: changes in imaging conditions, problems associated with water-related subjects, and other environmental changes as well as expected lack of spectral separation between Egeria and other land cov...
متن کاملThesis Subject: Learning People Dynamics in Video Understanding
Cameras are continually in use all around, to monitor traffic, for security in private and public places and even at our homes. Because of these huge volume of data, it is necessary to develop efficient methods for video management. It is almost an impossible task to continually monitor these sources manually. While the understanding of video in general seems a complex task, it can be successfu...
متن کاملBayesian multi-task learning for decoding multi-subject neuroimaging data
Decoding models based on pattern recognition (PR) are becoming increasingly important tools for neuroimaging data analysis. In contrast to alternative (mass-univariate) encoding approaches that use hierarchical models to capture inter-subject variability, inter-subject differences are not typically handled efficiently in PR. In this work, we propose to overcome this problem by recasting the dec...
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: Educational Psychology
سال: 2018
ISSN: 0144-3410,1469-5820
DOI: 10.1080/01443410.2018.1519651