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» Methods for boosting recommender systems
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IROS
2007
IEEE
134views Robotics» more  IROS 2007»
14 years 1 months ago
Feature selection for grasp recognition from optical markers
Abstract— Although the human hand is a complex biomechanical system, only a small set of features may be necessary for observation learning of functional grasp classes. We explor...
Lillian Y. Chang, Nancy S. Pollard, Tom M. Mitchel...
HICSS
2006
IEEE
146views Biometrics» more  HICSS 2006»
14 years 1 months ago
A Paradigmatic and Methodological Examination of KM Research: 2000 to 2004
This study addresses a long-standing and wellrecognized problem in KM research, namely the lack of a cumulative tradition. This problem is addressed by an intensive and critical r...
Zining Guo, James Sheffield
WEBI
2004
Springer
14 years 25 days ago
TSSP: A Reinforcement Algorithm to Find Related Papers
Content analysis and citation analysis are two common methods in recommending system. Compared with content analysis, citation analysis can discover more implicitly related papers...
Shen Huang, Gui-Rong Xue, Benyu Zhang, Zheng Chen,...
ICMLA
2009
13 years 5 months ago
Exact Graph Structure Estimation with Degree Priors
We describe a generative model for graph edges under specific degree distributions which admits an exact and efficient inference method for recovering the most likely structure. T...
Bert Huang, Tony Jebara
SIGMOD
2002
ACM
172views Database» more  SIGMOD 2002»
14 years 7 months ago
Automating physical database design in a parallel database
Physical database design is important for query performance in a shared-nothing parallel database system, in which data is horizontally partitioned among multiple independent node...
Jun Rao, Chun Zhang, Nimrod Megiddo, Guy M. Lohman