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SDM
2012
SIAM
452views Data Mining» more  SDM 2012»
13 years 1 months ago
Density-based Projected Clustering over High Dimensional Data Streams
Clustering of high dimensional data streams is an important problem in many application domains, a prominent example being network monitoring. Several approaches have been lately ...
Irene Ntoutsi, Arthur Zimek, Themis Palpanas, Peer...
ICML
2003
IEEE
16 years 6 days ago
Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Yaakov Engel, Shie Mannor, Ron Meir
WWW
2007
ACM
16 years 2 days ago
Multi-factor clustering for a marketplace search interface
Search engines provide a small window to the vast repository of data they index and against which they search. They try their best to return the documents that are of relevance to...
Neel Sundaresan, Kavita Ganesan, Roopnath Grandhi
WIKIS
2009
ACM
15 years 6 months ago
DynaTable: a Wiki extension for structured data
DynaTable is an extension for the MediaWiki software that provides support for structured data. While tables and lists are popular features in many wikis, they are currently unsup...
Carrie Arnold, Todd Fleming, David Largent, Chris ...
IROS
2008
IEEE
91views Robotics» more  IROS 2008»
15 years 5 months ago
Replanning: A powerful planning strategy for hard kinodynamic problems
— A series of kinodynamic sampling-based planners have appeared over the last decade to deal with high dimensional problems for robots with realistic motion constraints. Yet, ofï...
Konstantinos I. Tsianos, Lydia E. Kavraki