1553 search results - page 136 / 311 » Learning from Multiple Sources of Inaccurate Data |
172
Voted
IJCAI
2001
15 years 5 months ago
2001
Supervised and unsupervised learning methods have traditionally focused on data consisting of independent instances of a single type. However, many real-world domains are best des...
117
Voted
IAJIT
2010
15 years 2 months ago
2010
: This paper presents a novel adaptive course composition system that based on mashing up learning content in a web application. The system includes three major components, static ...
134
Voted
TCSV
2008
15 years 3 months ago
2008
This paper presents a graphical model for learning and recognizing human actions. Specifically, we propose to encode actions in a weighted directed graph, referred to as action gra...
151
Voted
KDD
2012
ACM
13 years 6 months ago
2012
ACM
In recent years, both hashing-based similarity search and multimodal similarity search have aroused much research interest in the data mining and other communities. While hashing-...
116
Voted
VLDB
2005
ACM
15 years 9 months ago
2005
ACM
Heterogeneous and dirty data is abundant. It is stored under different, often opaque schemata, it represents identical real-world objects multiple times, causing duplicates, and ...