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105
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ICML
2010
IEEE
15 years 4 months ago
Deep Supervised t-Distributed Embedding
Deep learning has been successfully applied to perform non-linear embedding. In this paper, we present supervised embedding techniques that use a deep network to collapse classes....
Martin Renqiang Min, Laurens van der Maaten, Zinen...
UM
2009
Springer
15 years 10 months ago
Narcissus: Group and Individual Models to Support Small Group Work
Long term group work by small teams is a central part of many learning and workplace activities. Widespread group support tools such as wikis, version control systems and issue tra...
Kimberley Upton, Judy Kay
CIKM
2008
Springer
15 years 5 months ago
SHOPSMART: product recommendations through technical specifications and user reviews
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
Alexander Yates, James Joseph, Ana-Maria Popescu, ...
132
Voted
OTM
2005
Springer
15 years 9 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
SDM
2010
SIAM
256views Data Mining» more  SDM 2010»
15 years 4 months ago
The Application of Statistical Relational Learning to a Database of Criminal and Terrorist Activity
We apply statistical relational learning to a database of criminal and terrorist activity to predict attributes and event outcomes. The database stems from a collection of news ar...
B. Delaney, Andrew S. Fast, W. M. Campbell, C. J. ...