138 search results - page 13 / 28 » Information Theoretic Clustering of Sparse Co-Occurrence Dat... |
NIPS
2007
13 years 9 months ago
2007
Recent research has studied the role of sparsity in high dimensional regression and signal reconstruction, establishing theoretical limits for recovering sparse models from sparse...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Two-dimensional contingency or co-occurrence tables arise frequently in important applications such as text, web-log and market-basket data analysis. A basic problem in contingenc...
CSE
2009
IEEE
14 years 10 days ago
2009
IEEE
—In this paper we propose a clustering and routing scheme for wireless sensor networks based on a self-organizing approach. The aim of this approach is for nodes to perform an in...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...