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LOCA
2007
Springer
16 years 17 days ago
Inferring the Everyday Task Capabilities of Locations
Abstract. People rapidly learn the capabilities of a new location, without observing every service and product. Instead they map a few observations to familiar clusters of capabili...
Patricia Shanahan, William G. Griswold
INFOSCALE
2006
ACM
16 years 11 days ago
A generic search strategy for large-scale real-world networks
— We consider the following situation for a given large-scale network: Starting from an initial node we move to its neighbor node and repeat that until reaching a target node. Ho...
Yuichi Kurumida, Tsukasa Ogata, Hirotaka Ono, Kuni...
IAT
2005
IEEE
16 years 1 days ago
Decomposing Large-Scale POMDP Via Belief State Analysis
Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
Xin Li, William K. Cheung, Jiming Liu
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 11 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 10 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz