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135
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PKDD
2010
Springer
313views Data Mining» more  PKDD 2010»
14 years 11 months ago
Topic Modeling for Personalized Recommendation of Volatile Items
One of the major strengths of probabilistic topic modeling is the ability to reveal hidden relations via the analysis of co-occurrence patterns on dyadic observations, such as docu...
Maks Ovsjanikov, Ye Chen
DEBU
2000
147views more  DEBU 2000»
15 years 19 days ago
XJoin: A Reactively-Scheduled Pipelined Join Operator
Wide-area distribution raises significant performance problems for traditional query processing techniques as data access becomes less predictable due to link congestion, load imb...
Tolga Urhan, Michael J. Franklin
89
Voted
MM
2010
ACM
174views Multimedia» more  MM 2010»
15 years 1 months ago
Image classification using the web graph
Image classification is a well-studied and hard problem in computer vision. We extend a proven solution for classifying web spam to handle images. We exploit the link structure of...
Dhruv Kumar Mahajan, Malcolm Slaney
95
Voted
AI
2001
Springer
15 years 5 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
89
Voted
EMNLP
2009
14 years 10 months ago
EEG responds to conceptual stimuli and corpus semantics
Mitchell et al. (2008) demonstrated that corpus-extracted models of semantic knowledge can predict neural activation patterns recorded using fMRI. This could be a very powerful te...
Brian Murphy, Marco Baroni, Massimo Poesio